Gas turbine turbine blade manufacturing qualification information determination method, device and equipment based on fault tree and medium

Abstract

This invention relates to the field of gas turbine technology, and more particularly to a method, apparatus, equipment, and medium for determining the manufacturing qualification information of gas turbine blades based on fault tree analysis. The method includes: obtaining a parameter set corresponding to each gas turbine blade in a gas turbine blade set; analyzing the parameter set using a fault tree corresponding to the gas turbine blade set to obtain qualification information for each gas turbine blade; determining the production problem corresponding to the gas turbine blade set based on the qualification information; and generating manufacturing improvement measures corresponding to the gas turbine blade set based on the production problem. This invention can provide improvement measures for subsequent turbine blade manufacturing, point out specific research directions for scientific research, and improve the accuracy of turbine blade production.

Description

Technical Field

[0001] This invention relates to the field of gas turbine technology, and in particular to a method, apparatus, equipment and medium for determining the manufacturing qualification information of gas turbine blades based on fault tree. Background Technology

[0002] A gas turbine is a heat-work conversion device that uses a continuously flowing gas as a working fluid to drive an impeller to rotate at high speed, converting the energy of fuels such as natural gas into useful work. It is a core piece of equipment in the fields of power generation and drive systems.

[0003] A gas turbine mainly consists of three major components: a compressor, a combustion chamber, and a turbine. The turbine is further subdivided into components such as turbine blades, turbine discs, turbine rotors, and turbine retaining rings. Among these, the turbine blades are the core component that enables the gas turbine to output power. During operation, natural gas and other fuels are ignited in the combustion chamber to produce high-temperature, high-pressure combustion gases, which drive the turbine blades to rotate and perform work, achieving a direct conversion of thermal energy into mechanical energy. Therefore, the turbine blades directly determine the operational stability and reliability of the gas turbine, and manufacturing high-quality turbine blades is one of the key tasks in gas turbine development. Thus, improving the accuracy of turbine blade manufacturing has become a focus of attention. Summary of the Invention

[0004] This invention provides a method, apparatus, equipment, and medium for determining the manufacturing qualification information of gas turbine blades based on fault tree analysis. This method improves the accuracy of qualification information determination, enhances the accuracy of production problem identification, allows for the identification of improvement measures based on the corresponding fault causes of production problems, improves the accuracy of manufacturing improvement measures, provides improvement measures for subsequent turbine blade manufacturing, points to specific research directions for scientific research, and ultimately improves the accuracy of turbine blade production. The technical solution of this invention is as follows:

[0005] According to a first aspect of the present invention, a method for determining the manufacturing qualification information of gas turbine blades based on fault tree is provided, comprising: Obtain the parameter set corresponding to each gas turbine blade in the gas turbine blade set; The parameter set is analyzed using a fault tree corresponding to the set of gas turbine blades to obtain the qualification information corresponding to each gas turbine blade. Based on the qualification information corresponding to each gas turbine blade, determine the production problem corresponding to the gas turbine blade set, and generate manufacturing improvement measures corresponding to the gas turbine blade set based on the production problem.

[0006] According to some embodiments, the step of analyzing the parameter set using a fault tree corresponding to the set of gas turbine blades to obtain the qualification information corresponding to each gas turbine blade includes: Obtain the turbine blade information corresponding to the set of gas turbine blades; Based on the turbine blade information, obtain the fault tree corresponding to the set of gas turbine blades; The fault tree is used to analyze the parameter set to obtain the qualification information corresponding to each gas turbine blade.

[0007] According to some embodiments, the step of analyzing the parameter set using the fault tree to obtain the qualification information corresponding to each gas turbine blade includes: Obtain the top event, bottom event, and analysis range corresponding to the fault tree; Based on the top event, the bottom event, and the analysis range, the fault tree is used to analyze the parameter set to obtain the qualification information corresponding to each gas turbine blade.

[0008] According to some embodiments, the method further includes: When the qualified information indicates that the turbine blades of each gas turbine do not meet the qualified requirements, the process information corresponding to each turbine blade is obtained, wherein the process information includes at least one of process operation information, production problem information corresponding to each turbine blade, and cause information corresponding to the production problem information.

[0009] According to some embodiments, the method further includes: Obtain the cut set of the bottom logic gates corresponding to the fault tree; Proceeding upwards along the fault tree, the minimum cut set corresponding to the fault tree is obtained based on the top and bottom events of the fault tree; Obtain the minimum cut set and obtain the first production problem information set corresponding to the fault tree, wherein the first production problem information set is used to instruct the fault tree to obtain the qualified information.

[0010] According to some embodiments, the method further includes: If it is determined that a second set of production problem information corresponding to the fault tree exists, the first set of production problem information is updated using the second set of production problem information; or... Update information is obtained every preset time interval, and the fault tree is updated according to the update information to obtain the updated fault tree. The update information includes the frequency and probability of each bottom event, and the occurrence probability and non-occurrence probability of each top event.

[0011] According to some embodiments, updating the fault tree based on the update information to obtain the updated fault tree includes: Based on the updated information, obtain the probability importance and critical importance of each bottom event; Based on the probability importance and critical importance, the underlying events are adjusted to update the fault tree and obtain the updated fault tree.

[0012] According to a second aspect of the present invention, a device for determining the manufacturing qualification information of gas turbine blades based on fault tree is provided, comprising: The set acquisition unit is used to acquire the parameter set corresponding to each gas turbine blade in the gas turbine blade set; The information acquisition unit is used to analyze the parameter set using a fault tree corresponding to the set of gas turbine blades, and to obtain the qualification information corresponding to each gas turbine blade. The measure determination unit is used to determine the production problem corresponding to the set of gas turbine blades based on the qualification information corresponding to each gas turbine blade, and to generate manufacturing improvement measures corresponding to the set of gas turbine blades based on the production problem.

[0013] According to a third aspect of the present invention, an electronic device is provided, comprising: processor; Memory used to store the processor's executable instructions; The processor is configured to execute the instructions to implement the fault tree-based method for determining the manufacturing qualification information of gas turbine blades as described in any of the preceding aspects.

[0014] According to a fourth aspect of the present invention, a storage medium is provided that, when instructions in the storage medium are executed by a processor of an electronic device, enables the electronic device to perform the fault tree-based gas turbine blade manufacturing qualification information determination method described in any of the preceding aspects.

[0015] According to a fifth aspect of the present invention, a computer program product is provided, comprising a computer program that, when executed by a processor, implements the method described in any one of the preceding aspects.

[0016] The technical solutions provided by the embodiments of the present invention bring at least the following beneficial effects: In some or related embodiments, the parameter set corresponding to each gas turbine blade in the gas turbine blade set is obtained; the parameter set is analyzed using a fault tree corresponding to the gas turbine blade set to obtain the qualification information corresponding to each gas turbine blade; the production problem corresponding to the gas turbine blade set is determined based on the qualification information corresponding to each gas turbine blade; and manufacturing improvement measures corresponding to the gas turbine blade set are generated based on the production problem. Therefore, the FTA method can be applied to the turbine blade manufacturing process, and the analysis process can be specified. A PFTA method can be provided, which can dynamically analyze and find key problems in the gas turbine blade manufacturing process through fault tree analysis without human intervention. It can also reduce the situation where subjective analysis leads to inaccurate determination of qualification information, perform quantitative analysis, improve the accuracy of qualification information determination, improve the accuracy of production problem identification, determine improvement measures through the fault causes corresponding to production problems, improve the accuracy of manufacturing improvement measure determination, provide improvement measures for subsequent turbine blade manufacturing, point out specific research directions for scientific research, and improve the accuracy of turbine blade production.

[0017] It should be understood that the above general description and the following detailed description are exemplary and explanatory only, and are not intended to limit the invention. Attached Figure Description

[0018] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with the invention and, together with the description, serve to explain the principles of the invention, but do not constitute an undue limitation of the invention.

[0019] Figure 1 This is a flowchart of the first method for determining the manufacturing qualification information of gas turbine blades based on fault tree provided in the embodiments of the present invention; Figure 2 This is a flowchart of the second method for determining the manufacturing qualification information of gas turbine blades based on fault tree provided in the embodiments of the present invention; Figure 3 This is a schematic diagram illustrating an example of a PFTA analysis workflow provided in an embodiment of the present invention; Figure 4 This is a schematic diagram illustrating an example of the fault tree analysis range for precision casting of turbine blades provided in an embodiment of the present invention; Figure 5 This is an example schematic diagram of the first type of fault tree branch provided in an embodiment of the present invention; Figure 6 This is an example schematic diagram of the second type of fault tree branch provided in an embodiment of the present invention; Figure 7This is a block diagram illustrating a fault tree-based gas turbine blade manufacturing qualification information determination device according to an exemplary embodiment; Figure 8 This is an example schematic diagram of an electronic device according to an exemplary embodiment. Detailed Implementation

[0020] To enable those skilled in the art to better understand the technical solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings.

[0021] This invention provides a method, apparatus, electronic device, and storage medium for determining manufacturing qualification information of gas turbine blades based on fault tree analysis. In some embodiments, the terms "method for determining manufacturing qualification information of gas turbine blades based on fault tree analysis" can be interchanged with "information processing method" and "communication method," and the terms "apparatus for determining manufacturing qualification information of gas turbine blades based on fault tree analysis" can be interchanged with "information processing apparatus" and "communication apparatus," and the terms "information processing system" and "communication system" can be interchanged.

[0022] The embodiments of this invention are not exhaustive, but merely illustrative of some embodiments, and are not intended to limit the scope of protection of this invention. Unless otherwise specified, each step in a particular embodiment can be implemented as an independent embodiment, and the steps can be arbitrarily combined. For example, a solution after removing some steps in a particular embodiment can also be implemented as an independent embodiment, and the order of the steps in a particular embodiment can be arbitrarily interchanged. Furthermore, the optional implementation methods in a particular embodiment can be arbitrarily combined; moreover, the embodiments can be arbitrarily combined with each other. For example, some or all steps of different embodiments can be arbitrarily combined, and a particular embodiment can be arbitrarily combined with the optional implementation methods of other embodiments.

[0023] In each embodiment of the present invention, unless otherwise specified or in case of logical conflict, the terminology and / or descriptions of each embodiment are consistent and can be referenced by each other. Technical features in different embodiments can be combined to form new embodiments according to their inherent logical relationships.

[0024] The terminology used in the embodiments of this invention is for the purpose of describing specific embodiments only and is not intended to limit the invention.

[0025] In embodiments of the present invention, unless otherwise stated, elements expressed in singular form, such as "a," "an," "the," "the," "the," "the," "the," "the," "this," etc., can mean "one and only one," or "one or more," "at least one," etc. For example, when using articles such as "a," "an," "the," etc. in translation, the noun following the article can be understood as either a singular or a plural expression.

[0026] In this embodiment of the invention, "multiple" refers to two or more.

[0027] In some embodiments, the terms “at least one of,” “one or more,” “a plurality of,” and “multiple” may be used interchangeably.

[0028] In this invention, prefixes such as "first" and "second" are used merely to distinguish different descriptive objects and do not impose restrictions on the position, order, priority, quantity, or content of the descriptive objects. The description of the descriptive objects should be found in the claims or the context of the embodiments, and the use of prefixes should not constitute unnecessary restrictions. For example, if the descriptive object is a "field," the ordinal numbers preceding "field" in "first field" and "second field" do not restrict the position or order of the "fields." "First" and "second" do not restrict whether the "fields" they modify are in the same message, nor do they restrict the order of "first field" and "second field." Similarly, if the descriptive object is a "level," the ordinal numbers preceding "level" in "first level" and "second level" do not restrict the priority between "levels." Furthermore, the number of descriptive objects is not limited by ordinal numbers and can be one or more. For example, in "first device," the number of "devices" can be one or more. Furthermore, the objects modified by different prefixes can be the same or different. For example, if the object being described is "device", then "first device" and "second device" can be the same device or different devices, and their types can be the same or different. Similarly, if the object being described is "information", then "first information" and "second information" can be the same information or different information, and their content can be the same or different.

[0029] In some embodiments, "terminal" or "terminal device" may be referred to as "user equipment (UE)," "user terminal," "mobile station (MS)," "mobile terminal (MT)," "subscriber station," "mobile unit," "subscriber unit," "wireless unit," "remote unit," "mobile device," "wireless device," "wireless communication device," "remote device," "mobile subscriber station," "access terminal," "mobile terminal," "wireless terminal," "remote terminal," "handset," "user agent," "mobile client," "client," etc.

[0030] In some embodiments, data, information, etc., may be obtained with the user's consent.

[0031] It should be noted that the terms "first," "second," etc., used in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this invention. Rather, they are merely examples of apparatuses and methods consistent with some aspects of the invention as detailed in the appended claims.

[0032] According to some embodiments, turbine blades can be manufactured using precision casting methods, primarily investment casting. This method can not only achieve the forming of blades with complex geometries, thin walls, and cavities, but also features good surface quality and high dimensional accuracy, making it the mainstream process for turbine blade manufacturing. The precision casting process for turbine blades mainly consists of: ceramic core preparation, wax pattern pressing and assembly, ceramic shell preparation, casting, hot isostatic pressing, and heat treatment. Compared to the manufacturing process of other gas turbine components, it is characterized by more production stages, longer production cycles, higher failure risks, larger capital investment, and higher quality requirements, making it the most difficult component to manufacture in a gas turbine.

[0033] Turbine blades are notoriously difficult to manufacture, resulting in low yield rates and high costs, which severely impacts the market competitiveness of gas turbines. Due to the complexity of turbine blade production processes and the numerous influencing factors, identifying key issues is challenging. Therefore, a scientific research method is needed to systematically uncover the critical problems and causes in the turbine blade manufacturing process, thereby facilitating the rapid discovery of solutions.

[0034] In some embodiments, the analytical method used for troubleshooting turbine blade manufacturing processes is primarily Failure Mode and Effects Analysis (FMEA). FMEA is a qualitative analysis technique for proactive prevention. It analyzes and predicts potential failure modes in the design and process, studying the causes and consequences of failures from dimensions such as severity, ease of detection, and frequency of occurrence. Necessary preventative measures are then taken to avoid or reduce these potential failures, thereby improving product and process reliability. The FMEA method mainly consists of standardized FMEA analysis forms, and its operation and workflow may include: (1) Select the process or determine the scope of the analysis.

[0035] (2) Determine the failure mode for each component and process.

[0036] (3) Determine the failure consequences for each mode.

[0037] (4) Determine the cause of each failure mode.

[0038] (5) Assess the severity, frequency and detectability of each cause and calculate the corresponding risk level.

[0039] However, FMEA is a single-factor analysis method that does not consider the combined impact of multiple failure scenarios on the system. If a system failure is related to multiple factors, FMEA is ineffective. Therefore, FMEA only considers the impact of a single failure scenario, typically assuming all other functions in the system are working normally when analyzing a particular failure scenario. It struggles to analyze situations where multiple factors act simultaneously or interact to lead to a single consequence, and cannot comprehensively consider the complex effects of multiple failure scenarios.

[0040] Furthermore, FMEA analysis relies solely on manual scoring of the risk of each failure mode, lacking close integration with probabilistic statistics of the production process. Due to the absence of logical and hierarchical relationships between various failure modes, it is impossible to calculate the system's failure probability from the probability of each failure mode, or to quantitatively assess the importance of each failure mode within the system.

[0041] Secondly, the FMEA method typically starts from a specific process and lists potential fault hazards (causes) and their potential impacts (results). When the result is known, it's not possible to quickly identify the cause. Furthermore, multiple causes can lead to the same result, so the causes are scattered throughout the FMEA table, making them difficult to locate. Therefore, the fault handling capability is poor, and the cause cannot be quickly and accurately identified after a fault occurs.

[0042] Then, FMEA is usually used for preventive analysis. It often uses brainstorming to identify potential faults and manually assesses and scores the risk caused by the faults. However, this can vary due to differences in the ability and understanding of different users, making it too subjective.

[0043] Then, the causes of problems can be categorized into direct causes, indirect causes, and root causes, thus the depth of cause analysis varies. FMEA, presented in tabular form, typically only provides a single level of cause when analyzing the reasons for failures, failing to identify multi-level causes. Therefore, the cause analysis is not comprehensive or in-depth, and the depth of cause analysis may vary for different failure scenarios in the FMEA table, indicating a lack of depth and hierarchy in the cause analysis.

[0044] Furthermore, the FMEA method lacks consideration for logical relationships, thus failing to systematically analyze the process step-by-step according to the sequence of procedures and the problems that arise within them. The analysis process is not well-organized. FMEA analysis primarily involves tabular or bookkeeping work, making the process less intuitive and tedious. Consequently, the analysis is not well-organized and is not closely integrated with the technological process. The presentation format is not intuitive, and the analysis is rather tedious.

[0045] Figure 1This is a flowchart of the first method for determining the manufacturing qualification information of gas turbine blades based on fault tree provided in this embodiment of the invention, as follows: Figure 1 As shown, the fault tree-based method for determining the manufacturing qualification information of gas turbine blades can be applied to scenarios involving determining the qualification and qualification rate of gas turbine blades after manufacturing. The method includes the following steps: In step S11, the parameter set corresponding to each gas turbine blade in the gas turbine blade set is obtained; In some embodiments, the implementing entity of this invention may be an electronic device. This electronic device does not specifically refer to a particular fixed electronic device. For example, when the device identifier changes, the electronic device may also change accordingly. For example, when the structure of the electronic device changes, the electronic device may also change accordingly. The name of the electronic device is not limited. The electronic device may be, for example, a processing device, a terminal, etc.

[0046] According to some embodiments, a gas turbine is a rotary power machine that uses a continuously flowing gas as the working fluid to convert thermal energy into mechanical work. The gas turbines disclosed in this embodiment do not specifically refer to a particular fixed gas turbine. For example, when the structure of a gas turbine changes, the gas turbine may also change accordingly. Such structural changes may include, for example, changes in the size of a component or changes in some types of the gas turbine.

[0047] In some embodiments, the turbine blade is a core component in a gas turbine that converts the thermal energy of high-temperature, high-pressure gas into mechanical work, and it is also one of the most technically challenging and complex components to manufacture in the entire machine. Different requirements can correspond to different turbine blades; for example, when the temperature resistance, stress tolerance, and corrosion resistance change, the turbine blade can also be changed accordingly.

[0048] In some embodiments, the gas turbine blade assembly may be a collection of at least one manufactured gas turbine blade. This gas turbine blade assembly does not specifically refer to a fixed set. For example, the gas turbine blade assembly may change when the number of turbine blades corresponding to it changes. Similarly, the gas turbine blade assembly may change when the structure of the gas turbine blades corresponding to it changes.

[0049] According to some embodiments, a parameter set can be used, for example, for detecting whether a gas turbine turbine blade is qualified. The parameter set can be formed by, for example, aggregating at least one parameter. The parameter set does not specifically refer to a certain fixed set. For example, when the number of parameters corresponding to the parameter set changes, the parameter set can also change accordingly. For example, when the type of parameters corresponding to the parameter set changes, the parameter set can also change accordingly.

[0050] In some embodiments, the parameter sets corresponding to each gas turbine turbine blade in the gas turbine turbine blade set can be obtained. Among them, the acquisition method of the parameter set is not limited. For example, it can be collected by the parameter measurement device of an electronic device, or it can also be obtained by transmission from other electronic devices.

[0051] In step S12, a fault tree corresponding to the gas turbine turbine blade set is used to analyze the parameter set, and the qualification information corresponding to each gas turbine turbine blade is obtained; According to some embodiments, Fault Tree Analysis (FTA) is a systematic deductive fault analysis method widely used in the fields of reliability engineering, safety assessment, and risk management. The fault tree analysis in the embodiments of the present disclosure can be used, for example, to determine whether each gas turbine turbine blade in the gas turbine turbine blade set is faulty. This FTA is a top-down deductive method, with the event that the system does not want to occur (top event) as the analysis target. By finding the direct causes until the basic direct causes (bottom events), a tree-shaped logical relationship is established to quantitatively study the impact of the bottom events on the top event. It starts from an unwanted top event (such as a system failure or a catastrophic event) and analyzes layer by layer all the potential causes that may lead to the occurrence of this event.

[0052] In some embodiments, the fault tree does not specifically refer to a certain fixed fault tree. For example, when the parameters of the fault tree change, the fault tree can also change accordingly. For example, when it is determined by the relevant information of the gas turbine turbine blade set, when the gas turbine turbine blade set changes, the fault tree can also change accordingly.

[0053] According to some embodiments, the qualification information can be, for example, information indicating whether the manufacturing of the gas turbine turbine blade is qualified. The qualification information does not specifically refer to a certain fixed information. For example, different gas turbine turbine blades can correspond to different qualification information. For example, when the determination method of the qualification information changes, the qualification information can also change accordingly.

[0054] In some embodiments, a fault tree corresponding to the gas turbine turbine blade set can be used to analyze the parameter set, and the qualification information corresponding to each gas turbine turbine blade is obtained.

[0055] In step S13, the production problem corresponding to the set of gas turbine blades is determined based on the qualification information of each gas turbine blade, and manufacturing improvement measures corresponding to the set of gas turbine blades are generated based on the production problem.

[0056] According to some embodiments, the production problem may be, for example, a problem that exists during the production of gas turbine blades. This production problem is not specifically defined as a single, fixed problem. For example, the production problem may change as the gas turbine blades change. Similarly, the production problem may change as the fault tree changes.

[0057] In some embodiments, manufacturing improvements may be, for example, improvements made to the subsequent production of similar gas turbine blades. These manufacturing improvements are not specific to any particular fixed measure; for example, they may change accordingly when production problems change.

[0058] In some or related embodiments, the parameter set corresponding to each gas turbine blade in the gas turbine blade set is obtained; the parameter set is analyzed using a fault tree corresponding to the gas turbine blade set to obtain the qualification information corresponding to each gas turbine blade; the production problem corresponding to the gas turbine blade set is determined based on the qualification information corresponding to each gas turbine blade; and manufacturing improvement measures corresponding to the gas turbine blade set are generated based on the production problem. Therefore, the FTA method can be applied to the turbine blade manufacturing process, and the analysis process can be specified. A PFTA method can be provided, which can dynamically analyze and find key problems in the gas turbine blade manufacturing process through fault tree analysis without human intervention. It can perform quantitative analysis, improve the accuracy of qualification information determination, improve the accuracy of production problem identification, determine improvement measures through the fault causes corresponding to production problems, improve the accuracy of manufacturing improvement measure determination, provide improvement measures for subsequent turbine blade manufacturing, point out specific research directions for scientific research, and improve the accuracy of turbine blade production. In addition, by detecting faults, the time for determining the production cause can be reduced, and the convenience of determining production problems can be improved. Then, production problems can be identified through fault trees, and the causes can be determined at different levels, improving the accuracy, comprehensiveness, and depth of cause analysis. Finally, layer-by-layer analysis using fault trees can improve the systematization of the analysis work, enhance its integration with the process, and make turbine blade-related information more intuitive.

[0059] Figure 2 This is a flowchart of the second method for determining the manufacturing qualification information of gas turbine blades based on fault tree provided in this embodiment of the invention, as follows: Figure 2As shown, it includes the following steps: In step S21, the parameter set corresponding to each gas turbine blade in the gas turbine blade set is obtained; In some embodiments, the implementing entity of this invention may be an electronic device. This electronic device does not specifically refer to a particular fixed electronic device. For example, when the device identifier changes, the electronic device may also change accordingly. For example, when the structure of the electronic device changes, the electronic device may also change accordingly. The name of the electronic device is not limited. The electronic device may be, for example, a processing device, a terminal, etc.

[0060] The relevant processes can be as described above, and will not be repeated here.

[0061] In step S22, the turbine blade information corresponding to the gas turbine blade set is obtained; The relevant processes can be as described above, and will not be repeated here.

[0062] In step S23, the fault tree corresponding to the set of gas turbine blades is obtained based on the turbine blade information; The relevant processes can be as described above, and will not be repeated here.

[0063] In step S24, a fault tree is used to analyze the parameter set and obtain the qualification information corresponding to each gas turbine blade. The relevant processes can be as described above, and will not be repeated here.

[0064] According to some embodiments, a fault tree is used to analyze the parameter set to obtain the qualification information corresponding to each gas turbine blade, including: Obtain the top event, bottom event, and analysis scope corresponding to the fault tree; Based on the top event, bottom event, and analysis scope, a fault tree is used to analyze the parameter set and obtain the qualification information corresponding to each gas turbine blade.

[0065] According to some embodiments, the top event can be, for example, the most undesirable event that is closely related to the gas turbine component to be analyzed. The top event name can be "component name + non-conformity", such as turbine blade non-conformity.

[0066] In some embodiments, the analysis scope mainly includes two categories: component manufacturing process defects and component inspection defects. The naming convention is: "Component Name + Manufacturing Process Defect" or "Component Name + Inspection Defect". Component manufacturing process defects are listed sequentially according to the actual manufacturing process steps, and the specified name is: "Process Name + Defect", for example: "Wax Pressing Defect". Component inspection defects are listed sequentially according to the actual inspection steps, and the specified name is: "Inspection Name + Defect", for example: "Visual Inspection Defect".

[0067] In some embodiments, the bottom event is the bottom of the fault tree and can be a causal event that only causes other events to occur. The scope of the bottom event can, for example, involve five aspects: personnel, machinery, materials (or raw materials), methods (or process systems), and environment. Because the manufacturing process of various components of a gas turbine is very complex, this embodiment of the disclosure, by pre-setting the selection of bottom events, can reduce the problems of overly broad selection leading to the inability to expose the root cause of the problem, and overly detailed selection leading to endless troubleshooting, thereby improving the efficiency of pass rate analysis.

[0068] According to some embodiments, the method further includes: When the qualified information indicates that each gas turbine blade does not meet the qualified requirements, the process information corresponding to each gas turbine blade is obtained. The process information includes at least one of the following: process operation information, production problem information corresponding to each gas turbine blade, and cause information corresponding to the production problem information.

[0069] In some embodiments, for example, process non-conformities can be preset, which may include: (1) The specific operation of each process, taking the turbine blade manufacturing process "shell making" as an example, involves operations such as "coating", "dewaxing" and "baking".

[0070] (2) Production problems corresponding to each operation. Taking the "hanging coating" operation as an example, the production problems involved include: paint accumulation, shed construction, uneven hanging coating, improper drying events, and improper paint control.

[0071] (3) The direct causes of production problems, taking “improper control of coating” as an example, include: the pH value of the coating is not within the range, the viscosity of the coating is too high, there are too many bubbles, and there are too many impurities in the coating.

[0072] (4) The root cause (bottom event) that leads to the direct cause. Taking "too many bubbles" as an example, the root causes include: no defoamer added, too short return time, too fast mixing of paint, excessive number of colonies, and too high powder-to-liquid ratio of paint.

[0073] In some embodiments, the criteria for detecting non-compliance can be set, which may include the following settings: (1) List the specific problems or defects of each test item. For example, the "fluorescence inspection" of "turbine blades" has the following problems or defects: surface inclusions, cracks, looseness, shrinkage cavities and internal cavity cracks.

[0074] (2) Write down the direct cause of the problem or defect. Taking the "loose" defect as an example, the direct cause of its occurrence is insufficient shrinkage, heat condensation, etc.

[0075] (3) Give the root cause (bottom event) that caused the direct cause. Taking "insufficient feeding" as an example, the root cause is the unreasonable design of the gating system.

[0076] In some embodiments, a fault tree and a fault tree document can be drawn based on the non-conforming items in the above-mentioned processes and inspections. The document can be compiled according to a preset method, specifically including drawing a tree structure diagram of each problem or defect, direct cause, and root cause on a single page, and establishing the relationships between pages of the manual through references or links.

[0077] According to some embodiments, the fault tree document can also be modified according to modification instructions to improve the integrity and reliability of the fault tree content and finally determine a usable fault tree document.

[0078] According to some embodiments, the method further includes: Obtain the cut set of the bottom logic gates corresponding to the fault tree; Proceed upwards along the fault tree, and obtain the minimum cut set corresponding to the fault tree based on the top and bottom events of the fault tree; Obtain the minimum cut set and the first production problem information set corresponding to the fault tree, wherein the first production problem information set is used to instruct the fault tree to obtain qualified information.

[0079] According to some embodiments, the set of most dangerous production problems can be determined by calculating the minimum cut set of the fault tree, and the corresponding solutions for the set of production problems can be determined, so as to gradually tackle the production problems.

[0080] The minimum cut set is calculated as follows: generate the cut set of the logic gates at the bottom of the fault tree. For example, Boolean algebra can be used to generate the cut set of the logic gates at the bottom of the fault tree. Then, continue to develop upwards along the fault tree and express the top event as the simplest expression of the sum of the products of the bottom events. Each product term is a minimum cut set of the fault tree. For example, it can be shown in formula (1): (1) In the above formula, T is the top event, and X is the top event. i For the bottom event, C jLet i be the minimum cut set, i be the base event number, and j be the minimum cut set number.

[0081] According to some embodiments, the minimal cut set with the smallest order (fewest events) can be, for example, the set of the most dangerous production problems. By conducting project initiation studies on each event in the minimal cut set, major problems in the production process can be avoided.

[0082] According to some embodiments, the method further includes: If a second set of production problem information corresponding to a fault tree is determined, the first set of production problem information is updated using the second set of production problem information; or... Update information is retrieved at preset intervals, and the fault tree is updated accordingly to obtain the updated fault tree. The updated information includes the frequency and probability of each bottom event, and the probability of occurrence and non-occurrence of each top event. Therefore, the risk level of turbine blade production problems is assessed regularly, and statistical analysis of production problems and monitoring of key issues are continuously carried out until the turbine blade manufacturing pass rate reaches the expected target.

[0083] In some embodiments, the preset duration does not specifically refer to a fixed duration. The preset duration can be determined, for example, based on a duration setting instruction, or based on the pass rate detection accuracy; this disclosure does not limit this.

[0084] According to some embodiments, the fault tree is updated based on update information to obtain the updated fault tree, including: Based on the updated information, obtain the probability importance and critical importance of each bottom event; Based on probability importance and critical importance, each bottom event is adjusted to update the fault tree and obtain the updated fault tree.

[0085] According to some embodiments, the fault tree can be updated every preset time interval. For example, if a new production problem occurs, the fault tree content can be dynamically added; that is, if a production problem that does not exist in the fault tree content exists, the fault tree content can be updated.

[0086] In some implementations, the frequency and probability of each bottom event are periodically counted using the fault tree bottom events as statistical items.

[0087] In some embodiments, the probability of the top event occurring (blade defect rate) and the probability of the top event not occurring (blade pass rate) can be calculated. The probability importance (the degree of change in the probability of the top event occurring) and critical importance (the sensitivity to the probability of the top event occurring) of each bottom event can be calculated in turn. Then, the bottom events are sorted according to their critical importance. The bottom events with higher critical importance should be given priority for scientific research projects to solve the problem.

[0088] The probability of the top event occurring can be calculated as shown in formula (2): (2) In the above formula, P(T) is the probability of the top event occurring, and P(X) is the probability of the top event occurring. i Let C be the probability of the base event. j Let i be the minimum cut set, i be the base event number, and j be the minimum cut set number.

[0089] In some embodiments, the probability of the top event not occurring can be calculated as shown in formula (3): (3) In the above formula, P'(T) is the probability of the top event occurring, and P(T) is the probability of the top event not occurring.

[0090] In some embodiments, the probability importance can be calculated as shown in formula (4): (4) In the above formula, P(T) is the probability of the top event occurring, and P(X) is the probability of the top event occurring. i ) represents the probability of the base event occurring. Let represent the probability importance of the base event Xi.

[0091] In some embodiments, the criticality is calculated as shown in formula (5): (5) In the above formula, P(T) is the probability of the top event occurring, and P(X) is the probability of the top event occurring. i ) represents the probability of the base event occurring. Let Xi be the probability importance of the base event. The critical importance of event Xi.

[0092] In step S25, the production problem corresponding to the set of gas turbine blades is determined based on the qualification information of each gas turbine blade, and manufacturing improvement measures corresponding to the set of gas turbine blades are generated based on the production problem.

[0093] The relevant processes can be as described above, and will not be repeated here.

[0094] According to some embodiments, Figure 3 This diagram illustrates an example of a PFTA analysis process according to an embodiment of the present disclosure, such as... Figure 3 As shown, the low precision casting pass rate (15%) of a certain stage moving blade of a type A gas turbine is used as an example for illustration.

[0095] 1. Prepare data sources, which may include: Process Failure Mode and Effects Analysis (PFMEA) results (tables), trial production summary reports, project data, acceptance specifications, production site exchanges, monographs, manuals, and academic papers, etc.

[0096] 2. Determine the top event in the fault tree: "Turbine blade defective" can be selected as the top event, integrating both blade inspection defects and blade manufacturing process defects (including ceramic core defects), taking into account various key issues in the manufacturing process. Therefore, it can provide strong logic and causal relationships. It considers the complex impact of multiple failure scenarios, the logical relationships between failure scenarios, and the causal relationships between multiple failure scenarios. In addition, this technical solution has low subjectivity, objectively sorting out problems and causes based on statistical data of problems in the production and manufacturing process.

[0097] 3. Determine the scope of the fault tree analysis: such as Figure 4 As shown, the fault tree for turbine blade precision casting encompasses all process stages in the blade precision casting process. There are two Level 2 intermediate events and nine Level 3 intermediate events, with "ceramic core non-conforming" further divided into two Level 4 intermediate events. Taking turbine blade inspection failures as an example, the failures are composed of inspection steps involved in the actual process, subdivided into: composition inspection failure, microstructure inspection failure, fluorescence inspection failure, radiographic inspection failure, visual inspection failure, performance testing failure, gas flow rate inspection failure, and dimensional inspection failure. Therefore, the content can be organized graphically, increasing the intuitiveness of the results presentation.

[0098] 4. Determine the degree of analysis for the basic event: Define the degree of analysis for the basic event as the degree to which "an investigation can be initiated", that is, the degree to which an investigation can be carried out and a "yes" or "no" result can be obtained, such as "the high-temperature strength of the ceramic core is less than 20 MPa".

[0099] 5. Identify and address any non-conforming aspects of the process: such as... Figure 5 As shown, taking the ceramic core manufacturing process as an example, the main production problems include unqualified raw materials, unqualified green body pressing, unqualified sintering, unqualified room temperature and high temperature strengthening, and excessive grinding. For unqualified raw materials, the direct cause is excessive impurity content. Further analysis reveals the root causes to be human-introduced impurities, high impurity content in raw materials, and unclean mixing environment. Therefore, the hierarchical structure is clear, allowing for the formation of a clear chain of events to trace their origins. By identifying the causal events layer by layer based on the occurrence of the problem, the various direct, indirect, and root causes of the event can be found.

[0100] 6. Identify and address any non-compliant items during testing: such as... Figure 6As shown, taking the failure of wax pattern inspection as an example, the problems include failure in visual inspection, failure in radiographic inspection, failure in dimensional inspection, and failure in wall thickness inspection. Among these, the direct causes of radiographic inspection failure include: inclusions, core wax separation, internal missing material, and core breakage. Taking core wax separation as an example, the root causes include: low wax pattern storage temperature, oil stains on the core surface, a large smooth surface area, low mold material temperature during molding, low core temperature during molding, and high mold material shrinkage. Therefore, it is essential to closely integrate this process with the production process and inspection procedures to ensure a clear and organized workflow.

[0101] 7. Create a fault tree and compile a manual: By integrating the content of each branch, compile the "Fault Tree Manual for Precision Casting of Turbine Blades".

[0102] 8. Expert review and finalization: Based on the experts' revision instructions, the contents of the fault tree are confirmed and modified one by one. The main purpose is to determine the correctness of each event and to supplement any missing content, thus forming the final draft of the fault tree manual.

[0103] 9. Conduct minimal cut set analysis: The ascending method is used to calculate the minimal cut sets of the fault tree, and improvement measures are proposed for each minimal cut set. Taking the "core breakage before casting" fault tree branch as an example, the minimal cut sets are calculated, resulting in 14 first-order minimal cut sets, 6 second-order minimal cut sets, and 7 third-order minimal cut sets. Improvement measures are proposed for the lowest-order first-order minimal cut sets, and research is conducted to address these challenges. Therefore, this approach can balance problem prevention and fault handling. It can identify key points for problem prevention and formulate emergency response plans for various fault occurrences.

[0104] Table 1

[0105] 10. Regularly conduct production problem statistics and calculation analysis: For this type of blade, regularly conduct production problem statistics and dynamically update the fault tree content. For example, production problem statistics can be conducted every 6 months to obtain the frequency and probability of basic events, and then calculate the blade pass rate, the probability importance of basic events, and the critical importance of basic events. By conducting research and tackling the top 10 issues with the highest critical importance of basic events for a period of 6 months, and then repeating the same problem statistics, fault tree calculation, and research and tackling process after 6 months, the turbine blade pass rate can be improved.

[0106] In one or related embodiments, turbine blade information corresponding to the set of gas turbine blades is obtained; based on the turbine blade information, a fault tree corresponding to the set of gas turbine blades is obtained; the fault tree is used to analyze the parameter set to obtain the qualification information corresponding to each gas turbine blade. Therefore, the matching between the fault tree and the set of gas turbine blades can be improved, and the accuracy of qualification information determination can be improved.

[0107] A block diagram illustrating a fault tree-based gas turbine blade manufacturing qualification information determination device is shown according to an exemplary embodiment. (Refer to...) Figure 7 The device 700 includes: The set acquisition unit 701 is used to acquire the parameter set corresponding to each gas turbine blade in the gas turbine blade set; The information acquisition unit 702 is used to analyze the parameter set using the fault tree corresponding to the set of gas turbine blades, and to obtain the qualified information corresponding to each gas turbine blade. The measure determination unit 703 is used to determine the production problem corresponding to the set of gas turbine blades based on the qualification information of each gas turbine blade, and to generate manufacturing improvement measures corresponding to the set of gas turbine blades based on the production problem.

[0108] According to some embodiments, the information acquisition unit 702, when analyzing the parameter set using a fault tree corresponding to the gas turbine blade set and acquiring the qualification information corresponding to each gas turbine blade, is specifically used for: Obtain turbine blade information corresponding to the set of gas turbine blades; Based on the turbine blade information, obtain the fault tree corresponding to the set of gas turbine blades; Fault tree analysis was used to analyze the parameter set and obtain the qualification information corresponding to each gas turbine blade.

[0109] According to some embodiments, when the information acquisition unit 702 is used to analyze the parameter set using a fault tree and obtain the qualification information corresponding to each gas turbine blade, it is specifically used for: Obtain the top event, bottom event, and analysis scope corresponding to the fault tree; Based on the top event, bottom event, and analysis scope, a fault tree is used to analyze the parameter set and obtain the qualification information corresponding to each gas turbine blade.

[0110] According to some embodiments, the information acquisition unit 702 is further configured to: When the qualified information indicates that each gas turbine blade does not meet the qualified requirements, the process information corresponding to each gas turbine blade is obtained. The process information includes at least one of the following: process operation information, production problem information corresponding to each gas turbine blade, and cause information corresponding to the production problem information.

[0111] According to some embodiments, the information acquisition unit 702 is further configured to: Obtain the cut set of the bottom logic gates corresponding to the fault tree; Proceed upwards along the fault tree, and obtain the minimum cut set corresponding to the fault tree based on the top and bottom events of the fault tree; Obtain the minimum cut set and the first production problem information set corresponding to the fault tree, wherein the first production problem information set is used to instruct the fault tree to obtain qualified information.

[0112] According to some embodiments, the measure determining unit 703 is further configured to: If a second set of production problem information corresponding to a fault tree is determined, the first set of production problem information is updated using the second set of production problem information; or... Update information is obtained every preset time interval, and the fault tree is updated according to the update information to obtain the updated fault tree. The update information includes the frequency and probability of each bottom event, and the occurrence probability and non-occurrence probability of each top event.

[0113] According to some embodiments, the measure determination unit 703 is used to update the fault tree according to the update information, and when obtaining the updated fault tree, it is specifically used for: Based on the updated information, obtain the probability importance and critical importance of each bottom event; Based on probability importance and critical importance, each bottom event is adjusted to update the fault tree and obtain the updated fault tree.

[0114] Regarding the apparatus in the above embodiments, the specific manner in which each module performs its operation has been described in detail in the embodiments related to the method, and will not be elaborated upon here.

[0115] Figure 8 A schematic block diagram of an example electronic device 800 that can be used to implement embodiments of the present invention is shown. The electronic device 800 is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device may also represent various forms of mobile devices, such as personal digital processors, cellular phones, smartphones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the invention described and / or claimed herein.

[0116] like Figure 8As shown, the electronic device 800 includes a computing unit 801, which can perform various appropriate actions and processes based on a computer program stored in a read-only memory (ROM) 802 or a computer program loaded from a storage unit 808 into a random access memory (RAM) 803. The RAM 803 may also store various programs and data required for the operation of the electronic device 800. The computing unit 801, ROM 802, and RAM 803 are interconnected via a bus 804. An input / output (I / O) interface 805 is also connected to the bus 804.

[0117] Multiple components in electronic device 800 are connected to I / O interface 805, including: input unit 806, such as keyboard, mouse, etc.; output unit 807, such as various types of displays, speakers, etc.; storage unit 808, such as disk, optical disk, etc.; and communication unit 809, such as network card, modem, wireless transceiver, etc. Communication unit 809 allows electronic device 800 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.

[0118] The computing unit 801 can be a variety of general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of the computing unit 801 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special-purpose artificial intelligence (AI) computing chips, various computing units running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. The computing unit 801 performs the various methods and processes described above. For example, in some embodiments, the above methods can be implemented as a computer software program tangibly contained in a machine-readable medium, such as storage unit 808. In some embodiments, part or all of the computer program can be loaded and / or installed on the electronic device 800 via ROM 802 and / or communication unit 809. When the computer program is loaded into RAM 803 and executed by the computing unit 801, one or more steps of the methods described above can be performed. Alternatively, in other embodiments, the computing unit 801 can be configured to perform the above methods by any other suitable means (e.g., by means of firmware).

[0119] Various embodiments of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), systems-on-a-chip (SoCs), payload-programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transmitting data and instructions to the storage system, the at least one input device, and the at least one output device.

[0120] The program code used to implement the methods of the present invention can be written in any combination of one or more programming languages. This program code can be provided to a processor or controller of a general-purpose computer, special-purpose computer, or other programmable data processing device, such that when executed by the processor or controller, the program code causes the functions / operations specified in the flowcharts and / or block diagrams to be implemented. The program code can be executed entirely on the machine, partially on the machine, as a standalone software package partially on the machine and partially on a remote machine, or entirely on a remote machine or server.

[0121] In the context of this invention, a machine-readable medium can be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, apparatus, or device. A machine-readable medium can be a machine-readable signal medium or a machine-readable storage medium. Machine-readable media can include, but are not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0122] To provide interaction with a user, the systems and techniques described herein can be implemented on a computer having: a display device for displaying information to the user (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor); and a keyboard and pointing device (e.g., a mouse or trackball) through which the user provides input to the computer. Other types of devices can also be used to provide interaction with the user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including sound input, voice input, or tactile input).

[0123] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as data servers), or middleware components (e.g., application servers), or frontend components (e.g., user computers with graphical user interfaces or web browsers through which users can interact with implementations of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected via digital data communication of any form or medium (e.g., communication networks). Examples of communication networks include local area networks (LANs), wide area networks (WANs), the Internet, and blockchain networks.

[0124] Computer systems can include clients and servers. Clients and servers are generally geographically separated and typically interact via communication networks. The client-server relationship is established by computer programs running on the respective computers and having a client-server relationship with each other. A server can be a cloud server, also known as a cloud computing server or cloud host, a hosting product within the cloud computing service system that addresses the shortcomings of traditional physical hosts and VPS (Virtual Private Server, or simply "VPS") services, such as high management difficulty and weak business scalability. Servers can also be servers for distributed systems or servers incorporating blockchain technology.

[0125] It should be understood that the various forms of processes shown above can be used to reorder, add, or delete steps. For example, the steps described in this invention can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution disclosed in this invention can be achieved, and this is not limited herein.

[0126] The specific embodiments described above do not constitute a limitation on the scope of protection of this invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this invention should be included within the scope of protection of this invention.

Claims

1. A method for determining the manufacturing qualification information of gas turbine blades based on fault tree, characterized in that, include: Obtain the parameter set corresponding to each gas turbine blade in the gas turbine blade set; The parameter set is analyzed using a fault tree corresponding to the set of gas turbine blades to obtain the qualification information corresponding to each gas turbine blade. Based on the qualification information corresponding to each gas turbine blade, determine the production problem corresponding to the gas turbine blade set, and generate manufacturing improvement measures corresponding to the gas turbine blade set based on the production problem.

2. The method according to claim 1, characterized in that, The step of analyzing the parameter set using a fault tree corresponding to the set of gas turbine blades to obtain the qualification information corresponding to each gas turbine blade includes: Obtain the turbine blade information corresponding to the set of gas turbine blades; Based on the turbine blade information, obtain the fault tree corresponding to the set of gas turbine blades; The fault tree is used to analyze the parameter set to obtain the qualification information corresponding to each gas turbine blade.

3. The method according to claim 1 or 2, characterized in that, The step of analyzing the parameter set using the fault tree to obtain the qualification information corresponding to each gas turbine blade includes: Obtain the top event, bottom event, and analysis range corresponding to the fault tree; Based on the top event, the bottom event, and the analysis range, the fault tree is used to analyze the parameter set to obtain the qualification information corresponding to each gas turbine blade.

4. The method according to claim 1, characterized in that, The method further includes: When the qualified information indicates that the turbine blades of each gas turbine do not meet the qualified requirements, the process information corresponding to each turbine blade is obtained, wherein the process information includes at least one of process operation information, production problem information corresponding to each turbine blade, and cause information corresponding to the production problem information.

5. The method according to claim 1, characterized in that, The method further includes: Obtain the cut set of the bottom logic gates corresponding to the fault tree; Proceeding upwards along the fault tree, the minimum cut set corresponding to the fault tree is obtained based on the top and bottom events of the fault tree; Obtain the minimum cut set and obtain the first production problem information set corresponding to the fault tree, wherein the first production problem information set is used to instruct the fault tree to obtain the qualified information.

6. The method according to claim 5, characterized in that, The method further includes: If it is determined that a second set of production problem information corresponding to the fault tree exists, the first set of production problem information is updated using the second set of production problem information; or... Update information is obtained every preset time interval, and the fault tree is updated according to the update information to obtain the updated fault tree. The update information includes the frequency and probability of each bottom event, and the occurrence probability and non-occurrence probability of each top event.

7. The method according to claim 6, characterized in that, The step of updating the fault tree according to the update information to obtain the updated fault tree includes: Based on the updated information, obtain the probability importance and critical importance of each bottom event; Based on the probability importance and critical importance, the underlying events are adjusted to update the fault tree and obtain the updated fault tree.

8. A device for determining the manufacturing qualification information of gas turbine blades based on fault tree, characterized in that, include: The set acquisition unit is used to acquire the parameter set corresponding to each gas turbine blade in the gas turbine blade set; The information acquisition unit is used to analyze the parameter set using a fault tree corresponding to the set of gas turbine blades, and to obtain the qualification information corresponding to each gas turbine blade. The measure determination unit is used to determine the production problem corresponding to the set of gas turbine blades based on the qualification information corresponding to each gas turbine blade, and to generate manufacturing improvement measures corresponding to the set of gas turbine blades based on the production problem.

9. An electronic device, characterized in that, include: processor; Memory used to store the processor's executable instructions; The processor is configured to execute the instructions to implement the method for determining the manufacturing qualification information of gas turbine blades based on fault tree as described in any one of claims 1 to 7.

10. A storage medium storing instructions, characterized in that, When the instruction is executed on an electronic device, the electronic device performs the fault tree-based method for determining the manufacturing qualification information of gas turbine blades as described in any one of claims 1 to 7.

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