Ship-based electromagnetic directional valve life prediction method, equipment, medium and product

Abstract

The invention discloses a ship-based electromagnetic directional valve service life prediction method and device, a medium and a product, and relates to the field of electromagnetic directional valve service life prediction.The method comprises the steps that monitoring data of performance parameters in different failure modes are obtained; according to the monitoring data, constructing a performance degradation model of each performance parameter in different failure modes based on a Wiener process; according to the performance degradation model, adopting a Coupla function to construct a multi-performance reliability model; determining a life prediction model of the electromagnetic reversing valve based on the multi-performance reliability model; and predicting the service life of the electromagnetic reversing valve by using the service life prediction model of the electromagnetic reversing valve. According to the method, the service life of the marine electromagnetic reversing valve can be predicted more accurately.

Description

Technical Field

[0001] The present application relates to the field of electromagnetic reversing valve life prediction, and in particular to a method, device, medium and product for predicting the life of an electromagnetic reversing valve based on a ship. Background Art

[0002] As an important means of transportation, ships play a vital role in global cargo transportation and personnel flow. With the continuous advancement of marine engineering technology, ship design and manufacturing are increasingly developing towards high efficiency, intelligence and automation. Among them, the hydraulic system is an important part of ship power transmission and control, and its performance is directly related to the safety and economy of the ship. Among various hydraulic components, the solenoid reversing valve has become an indispensable key component in the ship hydraulic system due to its simple structure, fast response speed and high control accuracy. The basic function of the solenoid reversing valve is to control the flow direction of the liquid through the action of electromagnetic force, thereby realizing flexible control of the hydraulic equipment. The solenoid reversing valve is usually composed of a valve body, a valve core, a solenoid coil, a spring and a seal. When working, after the solenoid coil is energized, the electromagnetic force generated will overcome the force of the spring and push the valve core to move in the valve body. The displacement of the valve core changes the flow path of the hydraulic oil, thereby realizing the switching of different working states. Taking the common two-position four-way solenoid reversing valve as an example, it has two working positions and four oil ports, which are used to control the input and output of the oil respectively. When the electromagnetic coil is energized, the valve core moves to one side, causing the oil to flow out from one oil port, and the other oil port is connected to the oil tank through the opening of the valve body, forming a return circuit. When the electromagnetic coil is de-energized, the spring returns the valve core to its original position, and the flow direction of the oil changes again. Through this principle, the electromagnetic reversing valve can quickly switch the working mode in the hydraulic system to meet the requirements of fluid power under different working conditions. The response time of the electromagnetic reversing valve is usually very short, and the switching can be completed within milliseconds. This feature makes it particularly important in many application scenarios that require fast response. In addition, the control method of the electromagnetic reversing valve has good accuracy and flexibility, and can achieve joint control of multiple valves through simple circuit design, thereby improving the overall efficiency of the hydraulic system.

[0003] In various application scenarios of ships, such as propulsion systems, steering gear control, lifting equipment, etc., the performance of electromagnetic reversing valves directly affects the operating efficiency of the equipment and the stability of the system. For example, in the propulsion system, the electromagnetic reversing valve can quickly switch the flow direction of the hydraulic oil, thereby achieving rapid steering and speed adjustment of the ship; in the steering gear control, its role is to ensure the precise positioning of the rudder under different working conditions to respond to the crew's control instructions. This fast and flexible flow control capability makes the electromagnetic reversing valve an irreplaceable and important technology in modern ship automation systems.

[0004] However, with the complexity and diversity of the ship's operating environment, the electromagnetic reversing valve also faces many challenges. Long-term high-load operation and factors such as corrosion and wear in the marine environment may cause the electromagnetic reversing valve to fail, thereby affecting the normal operation of the entire hydraulic system. The main causes of failure of the electromagnetic reversing valve include electrical failure, mechanical wear and environmental impact, such as short circuit of the electromagnetic coil, leakage of the valve body and aging of the seal. These factors not only affect the performance of the valve, but also bring potential risks to the safe operation of the ship. Therefore, it is particularly important to conduct in-depth research on the performance degradation and failure characteristics of the electromagnetic reversing valve.

[0005] The reliability and stability of the electromagnetic reversing valve's performance are directly related to the safety and economy of the ship. In the face of complex marine environments and increasing automation requirements, in-depth research on the performance degradation mechanism and failure mode of the electromagnetic reversing valve and the construction of a comprehensive performance evaluation and prediction model will provide important support for the safe operation and maintenance management of ships. This research will not only help improve the reliability of the electromagnetic reversing valve, but will also promote the technological progress of the ship's hydraulic system and lay the foundation for more efficient and safer ship operations.

[0006] However, the existing methods for modeling and predicting the performance degradation of marine electromagnetic reversing valves have certain limitations in dealing with the coupling of multiple failure modes, and fail to fully capture the mutual influence of multiple failure modes and their comprehensive effects on system reliability. Most studies are usually based on a single failure mode, assuming that the valve performance degradation process is driven by a single factor, and therefore use simple linear or nonlinear models to describe the degradation process. Although these models can characterize the degradation of a single performance parameter to a certain extent, this method has obvious defects in complex environments where multiple failure modes coexist and may be coupled with each other. For example, the response time and internal leakage of the electromagnetic reversing valve are important degradation indicators. The two are often not completely independent in the degradation process, but may be affected by common environmental factors (such as salt spray, temperature changes, mechanical stress, etc. in the marine environment) and system working conditions (such as load changes, operating frequency). Therefore, the degradation model of a single failure mode is often difficult to accurately reflect this multi-failure mode coupling effect, resulting in greater uncertainty in the prediction results.

[0007] In recent years, some studies have begun to explore the use of Markov chains, hybrid models and other methods to deal with the problem of multiple failure mode coupling. However, these methods often seem to be powerless when dealing with the complex dependency structure between failure modes, especially when the dependency is nonlinear and asymmetric, and the assumptions of traditional statistical methods are difficult to meet actual needs. Therefore, how to construct a model that can effectively capture the performance degradation process, quantify the multi-parameter coupling effect and accurately predict the life of the electromagnetic reversing valve under complex multi-failure mode conditions is the key technical challenge facing the current field of performance degradation and life prediction of marine electromagnetic reversing valves. The lack of this method not only restricts the accuracy of the equipment's reliability analysis and health management system, but also affects the optimization of maintenance decisions throughout the equipment's life cycle to a certain extent. Summary of the invention

[0008] The purpose of this application is to provide a ship-based electromagnetic reversing valve life prediction method, equipment, medium and product, which can achieve a more accurate prediction of the life of a marine electromagnetic reversing valve.

[0009] To achieve the above objectives, this application provides the following solutions:

[0010] In a first aspect, the present application provides a method for predicting the life of an electromagnetic reversing valve based on a ship, and the method for predicting the life of an electromagnetic reversing valve based on a ship comprises:

[0011] Obtain monitoring data of performance parameters under different failure modes;

[0012] According to the monitoring data, the performance degradation model of each performance parameter under different failure modes is constructed based on the Wiener process;

[0013] According to the performance degradation model, the Coupla function is used to build a multi-performance reliability model;

[0014] Determine the life prediction model of electromagnetic reversing valve based on multiple performance reliability models;

[0015] The life prediction model of electromagnetic reversing valve is used to predict the life of electromagnetic reversing valve.

[0016] Optionally, the performance parameters include: internal leakage and response time.

[0017] Optionally, the step of constructing a performance degradation model for each performance parameter under different failure modes based on the Wiener process may also include:

[0018] Perform a goodness of fit test on the monitoring data and eliminate the monitoring data that fail the test.

[0019] Optionally, the method for goodness of fit test is KS test.

[0020] Optionally, the construction method of the Coupla function includes: an algebraic method, a geometric method and an Archimedean family generator construction method.

[0021] In a second aspect, the present application provides a ship-based electromagnetic reversing valve life prediction device, the ship-based electromagnetic reversing valve life prediction device comprising:

[0022] A performance parameter determination module, used to obtain monitoring data of performance parameters under different failure modes;

[0023] Performance degradation model building module, used to build performance degradation models for each performance parameter under different failure modes based on monitoring data and Wiener process;

[0024] A multi-performance reliability model building module is used to build a multi-performance reliability model based on the performance degradation model and using the Coupla function;

[0025] A life prediction model determination module, used to determine a life prediction model for the electromagnetic reversing valve based on a multi-performance reliability model;

[0026] The life prediction module is used to predict the life of the electromagnetic reversing valve using the electromagnetic reversing valve life prediction model.

[0027] In a third aspect, the present application provides a computer device, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the ship-based electromagnetic reversing valve life prediction method.

[0028] In a fourth aspect, the present application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the ship-based electromagnetic reversing valve life prediction method.

[0029] In a fifth aspect, the present application provides a computer program product, including a computer program, which, when executed by a processor, implements the ship-based electromagnetic reversing valve life prediction method.

[0030] According to the specific embodiments provided in this application, this application has the following technical effects:

[0031] The present application provides a method, equipment, medium and product for predicting the life of electromagnetic reversing valves based on ships. By introducing the Copula function, the deficiencies of the traditional model in processing multi-parameter dependent structures are compensated. The nonlinear and asymmetric coupling relationship between multiple degradation parameters is effectively captured through the Copula function, and a multi-performance reliability model is constructed, which can accurately characterize the complex interactive relationship between the various failure modes of the electromagnetic reversing valve, and avoid the prediction error caused by improper assumptions of dependent structures in traditional methods. The present application can achieve a more accurate prediction of the life of electromagnetic reversing valves for ships, which not only improves the applicability of the model, but also provides scientific support and practical basis for performance degradation modeling and reliability analysis of multi-failure mode systems. The promotion and application of this application will help to improve the scientificity and refined management level of ship equipment maintenance, thereby ensuring the safety and stability of ship systems. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0033] Figure 1 This is a schematic flow chart of a method for predicting the life of an electromagnetic reversing valve based on a ship in one embodiment of the present application;

[0034] Figure 2 It is a schematic diagram of the degradation curve of the response time of the electromagnetic reversing valve;

[0035] Figure 3 It is a schematic diagram of the degradation curve of the internal leakage of the electromagnetic reversing valve;

[0036] Figure 4 Schematic diagram of reliability function curves for single parameters and binary correlation parameters. DETAILED DESCRIPTION

[0037] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0038] In order to make the above-mentioned objects, features and advantages of the present application more obvious and easy to understand, the present application is further described in detail below with reference to the accompanying drawings and specific implementation methods.

[0039] In an exemplary embodiment, Figure 1 As shown, a method for predicting the life of an electromagnetic reversing valve based on a ship is provided, and the method includes the following S101 to S105. Among them:

[0040] S101, obtaining monitoring data of performance parameters under different failure modes;

[0041] Different failure modes include: valve core erosion wear, abrasive wear, coil aging, and seal aging and deformation;

[0042] Valve core erosion and wear failure plays a key role in the coupling of multiple failure modes of marine electromagnetic reversing valves. It not only affects the sealing and action response of the valve, but also further accelerates the entire degradation process through interaction with other failure modes.

[0043] During long-term frequent reversing operations, the valve core gradually suffers from erosion and wear due to the high-speed flow of hydraulic oil and the impact of tiny hard particles contained therein. Erosion and wear directly lead to an increase in the roughness of the valve core surface, which introduces friction and hysteresis factors in the reversing process, and then gradually prolongs the response time. At the same time, due to the uneven surface of the valve core, the matching clearance is difficult to control, resulting in a decrease in the sealing effect, which in turn causes an increase in the amount of internal leakage. Especially in high-pressure environments, the matching accuracy between the worn valve core and the valve seat decreases, exacerbating the internal leakage of the hydraulic oil. The internal leakage problem not only reduces the pressure stability of the system and the control accuracy of the hydraulic actuator, but also causes the hydraulic oil temperature to rise, accelerating the aging and failure of other components. The erosion and wear of the valve core and the deterioration of the seal promote each other, forming a typical multi-failure mode coupling relationship.

[0044] In addition to mechanical erosion and wear, the electromagnetic system of the electromagnetic reversing valve will also gradually fail due to thermal aging and current shock. Under frequent excitation, the electromagnetic coil gradually shows thermal aging, and its insulation layer gradually deteriorates in high temperature and humid environment, which reduces the current conduction efficiency and weakens the magnetic field strength. The weakening of the magnetic field directly leads to a reduction in the driving force on the valve core during the reversing process, which prolongs the response time. At the same time, due to insufficient driving force, the valve core may be retained or incompletely switched during the reversing process, further aggravating the wear of internal components. Thermal aging failure and erosion wear of the valve core form another coupling effect. The degradation of the electromagnetic system affects the mechanical action of the valve core, and the wear of the valve core aggravates the load of the electromagnetic system, causing it to further degrade, forming a "cause and effect" failure mode.

[0045] In addition, as the internal leakage intensifies, more tiny wear debris and contamination particles will gradually mix into the hydraulic system, increasing the contamination level of the hydraulic oil. After these particles enter the working chamber of the reversing valve, they will not only further accelerate the erosion and wear of the valve core, but also cause additional wear pressure on the seal, leading to aging and failure of the seal. The sealing material will gradually lose its elasticity and sealing properties, causing further aggravation of internal leakage, forming a vicious circle. The failure process caused by the above pollution is not only an accelerator of the erosion and wear of the valve core, but also has a chain reaction on the life of the entire hydraulic system. Therefore, the failure mode caused by hydraulic oil contamination forms a clear coupling relationship with the erosion and wear of the valve core, which can accelerate the deterioration of the entire electromagnetic reversing valve.

[0046] In view of the complex working conditions and coexistence of multiple failure modes of marine solenoid reversing valves, key parameters that can effectively reflect the performance degradation process are screened out to support subsequent performance degradation modeling and life prediction.

[0047] This application takes valve core erosion and wear as a typical failure mode based on the physical characteristics of the failure mode. The formation of valve core erosion and wear is mainly due to tiny particles or other abrasive substances mixed in the fluid. The particles scour the valve core surface at high speed under high pressure environment, gradually weakening its structural integrity, causing irregular wear areas on the valve core surface, and then increasing the sealing gap. As the valve core wear increases, the sealing performance decreases, and the internal leakage gradually increases, which is manifested as aggravated fluid loss. At the same time, the unevenness of the valve core surface increases the movement resistance, and the flexibility and response speed of the valve core movement are limited, resulting in a gradual delay in the response time. Therefore, the failure mode of valve core erosion and wear not only affects the sealing performance and dynamic response of the electromagnetic reversing valve, but also forms a coupled degradation relationship between the response time and the internal leakage.

[0048] Through in-depth analysis of the actual working conditions and failure mechanisms of the electromagnetic reversing valve, the performance parameters of response time and internal leakage are determined. The two can respectively reflect the different degradation characteristics of the electromagnetic reversing valve during long-term service.

[0049] The delay in response time is due to the gradual wear and aging of the electromagnetic system and mechanical transmission structure in the electromagnetic reversing valve after long-term operation, which leads to a decrease in the movement speed of the valve core and a trigger switching delay, which directly affects the dynamic response performance of the electromagnetic system; the increase in internal leakage reflects the gradual deterioration of the sealing performance, especially when erosion and wear occur on the surface of the valve core, the sealing gap increases, and the fluid leakage gradually intensifies, resulting in a significant increase in internal leakage.

[0050] On the basis of realizing failure mode identification, a multi-parameter performance degradation model that can reflect the overall performance degradation trend of the electromagnetic reversing valve is constructed according to the two performance parameters of response time and internal leakage. Considering the complex characteristics of the electromagnetic reversing valve with multiple failure mode coupling under actual working conditions, the traditional single degradation model cannot effectively describe the interaction between the degradation factors.

[0051] S102, constructing a performance degradation model of each performance parameter under different failure modes based on the Wiener process according to the monitoring data;

[0052] The degradation of monitoring data is characterized by the Wiener process. Let X(t) be a standard Wiener process with the following basic properties:

[0053] (1) X(0)=0 and X(t) is continuous at t=0.

[0054] (2) X(t)|t≥0 has a stable independent increment. In any two non-overlapping time intervals [t1, t2], [t3, t4], X(t4)-X(t3) and X(t2)-X(t1) are independent of each other.

[0055] (3) For each increment in a time interval, ΔX = X(t+Δt)-X(t) obeys N(μΔt,σ 2 Δt 2 )normal distribution.

[0056] The n performance parameters of the electromagnetic reversing valve will continue to degrade as the electromagnetic reversing valve works longer. At time t, the degradation amount X of the i-th performance parameter of the electromagnetic reversing valve is i (t) is a random variable that follows a certain distribution, so the process {X i (t), t≥0} is a random variable. The performance degradation of the electromagnetic reversing valve X i (t) can be expressed by the Wiener process, that is:

[0057] X i (t) = μ i t+σ i X 0i (t) (1)

[0058] Among them, the parameter μ i is the drift parameter in the degradation of the i-th performance parameter, σ i is the diffusion parameter in the degradation of the i-th performance parameter, X 0i (t) is the standard Wiener process with the ith performance parameter.

[0059] Performance degradation of electromagnetic reversing valve X i(t) obeys a certain form of univariate or multivariate Wiener process {X i (t),t≥0}, and define the failure threshold as l i (l i >0), according to the definition of degradation failure, the service life T of the marine electromagnetic reversing valve is n degradation quantities X i The degradation of the i-th performance parameter in (t)(i=1,2,…,n) first reaches the failure threshold l i The corresponding time is:

[0060] T i = inf{t|X i (t)≥l i} (2)

[0061] When considering a single performance parameter, life T i The distribution of follows the inverse Gaussian distribution T i The distribution function of and the probability density function They are:

[0062]

[0063]

[0064] Reliability R of a single performance parameter of the electromagnetic reversing valve i (t) can be expressed as:

[0065]

[0066] S103, constructing a multi-performance reliability model using Coupla function according to the performance degradation model;

[0067] The marginal distribution of response time and internal leakage is combined through the Copula function to determine the joint distribution model of the performance degradation process under multiple failure modes, namely the multi-performance reliability model, so as to effectively characterize the coupling relationship between different degradation indicators; the Copula function can characterize the dependence between the response time delay and the increase in internal leakage, revealing the intrinsic connection between the decreased sealing caused by valve core erosion and wear and the response delay, so that the model can reflect the actual performance degradation process of the electromagnetic reversing valve under multiple failure modes.

[0068] At time t, the performance degradation trajectory of the marine electromagnetic reversing valve can be expressed as X(t) = (X1(t), X2(t)), and the corresponding degradation failure threshold is l = (l1, l2). At the same time, the two performance degradation quantities of the electromagnetic reversing valve can be described by the Wiener process, so the service life of the electromagnetic reversing valve can be expressed as T = min(T1, T2). Therefore, the reliability of the electromagnetic reversing valve can be expressed as:

[0069] R(t)=P(T>t)=P(T1>t,T2>t)=P(X1(t)<l1,X2<l2)(6)

[0070] It is known from engineering practice that the performance parameters response time and internal leakage of the electromagnetic reversing valve are not independent of each other. Therefore, the Copula function method is used to describe the correlation between the two performance degradation quantities, so as to construct a reliability model of the two performance degradation quantities with correlation.

[0071] The life of the solenoid reversing valve at the i-th performance degradation amount is expressed as T i Represented by, and the corresponding distribution function is F i (t) = 1-R i (t), then the joint distribution function of life span T1 and T2 can be expressed as H(t1,t2). According to the definition of Copula function, there is a unique Copula function C such that:

[0072] H(t1,t2)=C(F1(t1),F2(t2);θ)(7)

[0073] Among them, θ is the parameter of the Copula function, and the reliability of the electromagnetic reversing valve can be expressed as:

[0074]

[0075] The construction methods of Copula function include algebraic method, geometric method and Archimedean family generator construction method.

[0076] In a specific embodiment, the Clayton Copula function is selected for modeling, and then:

[0077]

[0078] The reliability expression of the electromagnetic reversing valve is:

[0079]

[0080] Among them, θ∈(0,∞), when θ tends to 0, the degradation of performance parameters tends to be independent, that is:

[0081] C(F1(t1),F2(t2))=F1(t1)·F2(t2) (11)

[0082] When θ approaches infinity, the performance parameter degradation amounts tend to be completely correlated. The correlation can be expressed using the Kendall correlation coefficient τ, which has the following relationship with the correlation parameter θ:

[0083]

[0084] In another specific embodiment, the process of determining the parameter θ is as follows:

[0085] The performance parameters of q electromagnetic reversing valves are measured k times. Among them, the i-th performance parameter of the a-th marine electromagnetic reversing valve is The degradation amount is It represents the i-th performance parameter of the a-th marine electromagnetic reversing valve at time The performance degradation of the a-th solenoid reversing valve is The degenerate increment is:

[0086]

[0087] According to the properties of the Wiener process:

[0088]

[0089] The increment of performance degradation is The probability density function of can be expressed as:

[0090]

[0091] In this application, the degradation amount of two performance degradation parameters of the marine electromagnetic reversing valve is recorded as unknown parameter ξ=(μ1,σ1,μ2,σ2,θ), where μ1 and σ1 are the drift parameter and diffusion parameter in the degradation amount of the first performance parameter of the marine electromagnetic reversing valve, μ2 and σ2 are the drift parameter and diffusion parameter in the degradation amount of the second performance parameter of the marine electromagnetic reversing valve, and θ is the parameter of the Copula function, which characterizes the correlation between the two parameters. According to the marginal function inference method, the marginal distribution likelihood function L(μ1,σ1) is first established:

[0092]

[0093] Take the logarithm of both sides of the equation, find the partial derivatives of μ1 and σ1 respectively, and perform parameter estimation to obtain:

[0094]

[0095] Similarly, we can find and Then establish the Copula log-likelihood function, based on the obtained parameter estimates and Calculate marginal distribution function and The value of is used as input in the Copula function.

[0096]

[0097] in, is the probability density function of the 2D Copula function. Taking the derivative of the parameter θ in equation (19), we can get the estimated value of the parameter θ

[0098] S104, determining a life prediction model for the electromagnetic reversing valve based on the multi-performance reliability model;

[0099] S105, predicting the life of the electromagnetic reversing valve using the electromagnetic reversing valve life prediction model.

[0100] The following is a specific example for explanation:

[0101] In this embodiment, two key performance test data of 6 marine electromagnetic reversing valves are selected for performance degradation analysis, as shown in Table 1.

[0102] Table 1 Monitoring data of performance parameters of electromagnetic reversing valve

[0103]

[0104] According to the characteristics of the Wiener process Gaussian increment, the monitoring data is tested for goodness of fit to see whether it meets the normal distribution assumption, so as to determine whether the degradation process of each performance parameter of the aircraft engine obeys the Wiener process. In this embodiment, the KS test is used to perform a normal goodness of fit test on the performance parameters of the six electromagnetic reversing valves with a confidence level of 95%, and the test probability P value is greater than 5%. If the test is passed, the Wiener process is used to model the degradation process of the electromagnetic reversing valve performance parameters.

[0105] According to the monitoring data in Table 1, the performance degradation modeling method based on the Wiener process, the parameter estimation results are: The degradation curve of the response time and internal leakage of the electromagnetic reversing valve is as follows: Figure 2 and Figure 3 shown.

[0106] The estimated result of θ in the Coupla function is The performance reliability function curve of the marine electromagnetic reversing valve is obtained as follows: Figure 4 shown.

[0107] Depend on Figure 4 It can be concluded that the reliability based on the single parameter degradation model is higher than the reliability based on the binary correlation performance degradation model. For a system such as a marine electromagnetic reversing valve, multiple performance parameter indicators represent different degradation conditions. The reliability model that only considers the degradation of a single performance parameter may lead to an overestimation of the reliability of the marine electromagnetic reversing valve. Therefore, the binary performance parameter reliability model based on multi-mode failure coupling is more reasonable.

[0108] Based on the same inventive concept, the embodiment of the present application also provides a ship-based electromagnetic reversing valve life prediction device for implementing the ship-based electromagnetic reversing valve life prediction method involved above. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above method, so the specific limitations in one or more ship-based electromagnetic reversing valve life prediction device embodiments provided below can refer to the above limitations on the ship-based electromagnetic reversing valve life prediction method, and will not be repeated here.

[0109] In an exemplary embodiment, a ship-based electromagnetic reversing valve life prediction device is provided, comprising:

[0110] A performance parameter determination module, used to obtain monitoring data of performance parameters under different failure modes;

[0111] Performance degradation model building module, used to build performance degradation models for each performance parameter under different failure modes based on monitoring data and Wiener process;

[0112] A multi-performance reliability model building module is used to build a multi-performance reliability model based on the performance degradation model and using the Coupla function;

[0113] A life prediction model determination module, used to determine a life prediction model for the electromagnetic reversing valve based on a multi-performance reliability model;

[0114] The life prediction module is used to predict the life of the electromagnetic reversing valve using the electromagnetic reversing valve life prediction model.

[0115] In an exemplary embodiment, a computer device is provided, which may be a server or a terminal. The computer device includes a processor, a memory, an input / output interface (I / O for short) and a communication interface. The processor, the memory and the input / output interface are connected via a system bus, and the communication interface is connected to the system bus via the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal via a network connection. When the computer program is executed by the processor, a method for predicting the life of an electromagnetic reversing valve based on a ship is implemented.

[0116] In an exemplary embodiment, a computer-readable storage medium is provided, storing a computer program, and when the computer program is executed by a processor, the steps in the above method embodiments are implemented.

[0117] In an exemplary embodiment, a computer program product is provided, including a computer program, and when the computer program is executed by a processor, the steps in the above method embodiments are implemented.

[0118] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.

[0119] Those of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM may be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM).

[0120] The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. The non-relational database may include a distributed database based on blockchain, etc., but is not limited thereto. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., but is not limited thereto.

[0121] In this application, all actions to obtain signals, information or data are carried out in compliance with the relevant data protection laws and policies of the country where they are located and with the authorization given by the owner of the corresponding device.

[0122] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0123] This article uses specific examples to illustrate the principles and implementation methods of this application. The description of the above embodiments is only used to help understand the method and core ideas of this application. At the same time, for those skilled in the art, according to the ideas of this application, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as limiting this application.

Claims

1. A method for predicting the life of electromagnetic reversing valves based on ships, characterized in that: The ship-based electromagnetic reversing valve life prediction method includes: Obtain monitoring data of performance parameters under different failure modes; According to the monitoring data, the performance degradation model of each performance parameter under different failure modes is constructed based on the Wiener process; According to the performance degradation model, the Coupla function is used to build a multi-performance reliability model; Determine the life prediction model of electromagnetic reversing valve based on multiple performance reliability models; The life prediction model of electromagnetic reversing valve is used to predict the life of electromagnetic reversing valve.

2. The method for predicting the life of electromagnetic reversing valves based on ships according to claim 1 is characterized in that: The performance parameters include: internal leakage and response time.

3. The method for predicting the life of electromagnetic reversing valve based on a ship according to claim 1, characterized in that: The performance degradation model of each performance parameter under different failure modes is constructed based on the Wiener process, and the following is also included before: Perform a goodness of fit test on the monitoring data and eliminate the monitoring data that fail the test.

4. The method for predicting the life of electromagnetic reversing valve based on a ship according to claim 3 is characterized in that: The goodness of fit test method is KS test.

5. The method for predicting the life of electromagnetic reversing valves based on ships according to claim 1, characterized in that: The construction methods of Coupla functions include: algebraic method, geometric method and Archimedean family generator construction method.

6. A life prediction device for electromagnetic reversing valves based on ships, characterized in that: The ship-based electromagnetic reversing valve life prediction device includes: A performance parameter determination module, used to obtain monitoring data of performance parameters under different failure modes; Performance degradation model building module, used to build performance degradation models for each performance parameter under different failure modes based on monitoring data and Wiener process; A multi-performance reliability model building module is used to build a multi-performance reliability model based on the performance degradation model and using the Coupla function; A life prediction model determination module, used to determine a life prediction model for the electromagnetic reversing valve based on a multi-performance reliability model; The life prediction module is used to predict the life of the electromagnetic reversing valve using the electromagnetic reversing valve life prediction model.

7. A computer device comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the ship-based electromagnetic reversing valve life prediction method according to any one of claims 1 to 5.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the ship-based electromagnetic reversing valve life prediction method described in any one of claims 1 to 5 is implemented.

9. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the ship-based electromagnetic reversing valve life prediction method described in any one of claims 1 to 5 is implemented.

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