Mechanical equipment operation fault diagnosis method
By performing BAS clustering and analysis of fault correction process of repaired mechanical equipment, the missed diagnosis process is determined and added to the fault correction process standard strategy, the problem of inefficient existing fault correction strategies is solved and more efficient fault diagnosis and correction process is achieved.
Patent Information
- Application Number
- CN202510288689.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-03-12
- Publication Date
- 2025-06-20
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
The existing fault correction strategies are time-consuming and labor-intensive in mechanical equipment fault diagnosis, low efficiency, and need to determine a personalized fault correction process based on equipment characteristics.
BAS clustering is performed based on the operation log data of the mechanical equipment to be diagnosed, the diagnostic target is obtained, and the associated mechanical equipment is determined from the fault correction process of the repaired mechanical equipment, and the omission diagnosis process in the fault correction process standard strategy is determined based on its fixed fault correction process, and the weight is given. Finally, the omission diagnosis process is added to the fault correction process standard strategy to optimize the fault correction process.
There is no need to determine personalized fault correction processes based on the characteristics of mechanical equipment, which improves the accuracy and efficiency of fault diagnosis and saves a lot of manpower and time.
Smart Images
Figure CN120180271A_ABST
Abstract
Description
Technical Field
[0001] This application relates to the technical field of fault diagnosis, and particularly to a method for diagnosing operation faults of mechanical equipment. Background Art
[0002] The Breakdown Amending Strategy (BAS) is a standardized diagnostic and amendment plan jointly formulated based on equipment fault diagnosis. It aims to provide high-quality and high-efficiency quality assurance services for mechanical equipment. Through standardized processes and schedules, service work becomes more planned and predictable, ensuring that mechanical equipment receives the best and consistent maintenance throughout the entire operation process from being put into use to completing its life cycle.
[0003] In some scenarios, clustering based on the breakdown amending strategy provides a standardized classification for different types of mechanical faults. The core lies in classifying the faults of mechanical equipment. By analyzing the characteristics and resource consumption of mechanical faults, similar mechanical faults are grouped together. However, after clustering mechanical equipment using BAS, it is necessary to sequentially determine the personalized fault correction processes for each mechanical equipment according to factors such as the characteristics of the mechanical equipment. This is not only time-consuming and laborious but also has low efficiency. Summary of the Invention
[0004] To achieve the above object, this application provides the following technical solutions:
[0005] According to the first aspect of the present invention, the present invention claims protection for a method for diagnosing operation faults of mechanical equipment. The method for diagnosing operation faults of mechanical equipment includes:
[0006] Performing BAS clustering on the mechanical equipment to be diagnosed based on the operation log data of the mechanical equipment to be diagnosed, obtaining the to-be-diagnosed BAS group to which the mechanical equipment to be diagnosed belongs, and acquiring the diagnosis target of the mechanical equipment to be diagnosed;
[0007] Determining the standard strategy of the fault correction process for the to-be-diagnosed BAS group based on the repaired fault correction processes of all the repaired mechanical equipment in the to-be-diagnosed BAS group;
[0008] Based on the repaired operation log data of each repaired mechanical equipment in the to-be-diagnosed BAS group and the operation log data of the mechanical equipment to be diagnosed, determining the associated mechanical equipment associated with the mechanical equipment to be diagnosed from each of the repaired mechanical equipment;
[0009] Determining the missing diagnostic processes in the standard strategy of the fault correction process based on the repaired fault correction processes of the associated mechanical equipment;
[0010] Determine the weight of the omitted diagnosis process based on the repaired fault correction process of each of the repaired mechanical equipment in the to-be-diagnosed BAS group and the diagnosis target of the to-be-diagnosed mechanical equipment;
[0011] Determine the to-be-diagnosed omitted diagnosis process of the to-be-diagnosed mechanical equipment based on the weight, the number of associated mechanical equipment of the associated mechanical equipment, and the number of reference mechanical equipment of the associated mechanical equipment corresponding to the omitted diagnosis process in the repaired fault correction process;
[0012] Add the to-be-diagnosed omitted diagnosis process to the standard strategy of the fault correction process to obtain the optimized fault correction process of the to-be-diagnosed mechanical equipment.
[0013] Further, the determining the associated mechanical equipment associated with the to-be-diagnosed mechanical equipment from each of the repaired mechanical equipment based on the repaired operation log data of each of the repaired mechanical equipment in the to-be-diagnosed BAS group and the operation log data of the to-be-diagnosed mechanical equipment includes:
[0014] Classify each of the repaired mechanical equipment based on the repaired operation log data of each of the repaired mechanical equipment in the to-be-diagnosed BAS group to obtain multiple mechanical equipment groups;
[0015] Determine the operation log correlation degree between each of the repaired mechanical equipment in the to-be-diagnosed BAS group and the to-be-diagnosed mechanical equipment based on the repaired operation log data of the mechanical equipment group to which each of the repaired mechanical equipment in the to-be-diagnosed BAS group belongs, the repaired operation log data of each of the repaired mechanical equipment, and the operation log data of the to-be-diagnosed mechanical equipment;
[0016] Determine the associated mechanical equipment associated with the to-be-diagnosed mechanical equipment from each of the repaired mechanical equipment in the to-be-diagnosed BAS group based on the operation log correlation degree.
[0017] Further, the determining the operation log correlation degree between each of the repaired mechanical equipment in the to-be-diagnosed BAS group and the to-be-diagnosed mechanical equipment based on the repaired operation log data of the mechanical equipment group to which each of the repaired mechanical equipment in the to-be-diagnosed BAS group belongs, the repaired operation log data of each of the repaired mechanical equipment, and the operation log data of the to-be-diagnosed mechanical equipment includes:
[0018] Determine the current node information intersection quantity of the important node information intersection of the operation log important node information set of the operation log data of the to-be-diagnosed mechanical equipment and the operation log important node information set of the repaired operation log data of the repaired mechanical equipment;
[0019] Determine the number of repaired node information intersections in the intersection of important node information between the set of operation log important node information of the operation log data of the mechanical equipment to be diagnosed and the set of operation log important node information of the repaired operation log data of the mechanical equipment groups to which the repaired mechanical equipment in each of the to-be-diagnosed BAS groups belong;
[0020] Determine the number of repaired node information of the operation log important node information of the repaired operation log data of the repaired mechanical equipment, and the number of repaired target node information of the operation log important node information of the repaired operation log data of the mechanical equipment groups to which the repaired mechanical equipment in each of the to-be-diagnosed BAS groups belong;
[0021] Calculate the first ratio of the current node information intersection quantity to the number of repaired node information, and the second ratio of the repaired node information intersection quantity to the number of repaired target node information;
[0022] Determine the sum value of the first ratio and the second ratio as the operation log correlation degree.
[0023] Furthermore, the determining of the standard strategy for the fault correction process of the to-be-diagnosed BAS group based on the repaired fault correction processes of all the repaired mechanical equipment in the to-be-diagnosed BAS group includes:
[0024] Sequence the repaired fault correction processes of the repaired mechanical equipment to obtain a plurality of time sequence items;
[0025] Construct an inverted linked list according to each of the time sequence items, so as to determine, through the inverted linked list, the time sequence items that repeatedly appear in the repaired fault correction processes of multiple repaired mechanical equipment, and obtain a linked list node set;
[0026] Determine, from the time sequence items of the linked list node set, a fault correction process pattern that meets the diagnosis target of the mechanical equipment to be diagnosed, where the fault correction process pattern represents the diagnosis processes that frequently appear in the to-be-diagnosed BAS group;
[0027] Determine the linked list node set with the largest number of item sets that meet the fault correction process pattern and the highest frequency, and the path formed is the standard strategy for the fault correction process.
[0028] Furthermore, the determination of the missing diagnosis processes with omissions in the standard strategy for the fault correction process based on the repaired fault correction processes of the associated mechanical equipment includes:
[0029] Sequence the repaired fault correction processes of the associated mechanical equipment to obtain a plurality of first time sequence items, and sequence the standard strategy for the fault correction process to obtain a plurality of second time sequence items;
[0030] Compare each of the first timing items with each of the second timing items to determine the first timing items missing in the standard strategy of the fault correction process;
[0031] Determine the diagnostic process corresponding to the missing first timing item as the missing diagnostic process.
[0032] Further, determining the weight of the missing diagnostic process based on the repaired fault correction processes of the repaired mechanical equipment in the to-be-diagnosed BAS group and the diagnostic objectives of the to-be-diagnosed mechanical equipment includes:
[0033] Based on the repaired fault correction processes of the repaired mechanical equipment in the to-be-diagnosed BAS group and the diagnostic objectives of the to-be-diagnosed mechanical equipment, determine the diagnostic correlation degree between each of the repaired mechanical equipment in the to-be-diagnosed BAS group and the diagnostic objectives of the to-be-diagnosed mechanical equipment;
[0034] Determine the product of the operation log correlation degree and the diagnostic correlation degree as the weight of the missing diagnostic process of the associated mechanical equipment.
[0035] Further, determining the diagnostic correlation degree between each of the repaired mechanical equipment in the to-be-diagnosed BAS group and the diagnostic objectives of the to-be-diagnosed mechanical equipment based on the repaired fault correction processes of the repaired mechanical equipment in the to-be-diagnosed BAS group and the diagnostic objectives of the to-be-diagnosed mechanical equipment includes:
[0036] Determine the set of important node information of the diagnostic objectives of the to-be-diagnosed mechanical equipment and the set of important node information of the diagnostic objectives in the repaired fault correction processes of the repaired mechanical equipment;
[0037] Calculate the number of repaired node intersections of the intersection of the important node information of the diagnostic objectives of the to-be-diagnosed mechanical equipment and the set of important node information of the diagnostic objectives in the repaired fault correction processes of the repaired mechanical equipment;
[0038] Determine the number of repaired nodes of the important node information of the diagnostic objectives in the repaired fault correction processes of the repaired mechanical equipment;
[0039] Determine the third ratio of the number of repaired node intersections to the number of repaired nodes as the diagnostic correlation degree.
[0040] Further, determining the to-be-diagnosed missing diagnostic process of the to-be-diagnosed mechanical equipment according to the weight, the number of associated mechanical equipment of the associated mechanical equipment, and the number of reference mechanical equipment of the associated mechanical equipment corresponding to the missing diagnostic process in the repaired fault correction process includes:
[0041] Determine the contribution degree of the missing diagnosis process of the associated mechanical equipment according to the weight, the number of associated mechanical equipment of the associated mechanical equipment, and the number of reference mechanical equipment of the associated mechanical equipment corresponding to the missing diagnosis process in the repaired fault correction process, where the contribution degree characterizes the importance of the missing diagnosis process to the diagnosis of the mechanical equipment to be diagnosed;
[0042] Determine the missing diagnosis process to be diagnosed for the mechanical equipment to be diagnosed based on the contribution degree.
[0043] Further, the determining the contribution degree of the missing diagnosis process of the associated mechanical equipment according to the weight, the number of associated mechanical equipment of the associated mechanical equipment, and the number of reference mechanical equipment of the associated mechanical equipment corresponding to the missing diagnosis process in the repaired fault correction process includes:
[0044] Calculate the fourth ratio of the number of reference mechanical equipment to the number of associated mechanical equipment, and sum the weights of the missing diagnosis processes of each associated mechanical equipment to obtain the sum weight;
[0045] Calculate the product of the fourth ratio and the sum weight;
[0046] Determine the normalized product as the contribution degree.
[0047] Further, the determining the missing diagnosis process to be diagnosed for the mechanical equipment to be diagnosed based on the contribution degree includes:
[0048] Determine the missing diagnosis process with a contribution degree greater than the threshold as the missing diagnosis process to be diagnosed.
[0049] This mechanical equipment operation fault diagnosis method performs BAS clustering on the mechanical equipment to be diagnosed based on the operation log data of the mechanical equipment to be diagnosed, obtains the to-be-diagnosed BAS group to which the mechanical equipment to be diagnosed belongs, and obtains the diagnosis target of the mechanical equipment to be diagnosed; determines the associated mechanical equipment associated with the mechanical equipment to be diagnosed from each repaired mechanical equipment; determines the missing diagnosis process with omissions in the fault correction process standard strategy according to the repaired fault correction process of the associated mechanical equipment; adds the missing diagnosis process to be diagnosed to the fault correction process standard strategy to obtain the optimized fault correction process of the mechanical equipment to be diagnosed. The present invention does not need to sequentially determine the personalized fault correction processes of each mechanical equipment according to factors such as the characteristics of the mechanical equipment, improving the accuracy and efficiency. BRIEF DESCRIPTION OF THE DRAWINGS
[0050] Figure 1 It is a working flow chart of a mechanical equipment operation fault diagnosis method claimed in an embodiment of the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS
[0051] Next, the technical solutions in the embodiments of the present application will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without making creative efforts belong to the scope of protection of the present application.
[0052] Please refer to Figure 1 , which shows a flowchart of a method for diagnosing operation faults of mechanical equipment provided by an embodiment of the present invention, including:
[0053] Step S101, perform BAS clustering on the mechanical equipment to be diagnosed based on the operation log data of the mechanical equipment to be diagnosed, obtain the to-be-diagnosed BAS group to which the mechanical equipment to be diagnosed belongs, and obtain the diagnosis target of the mechanical equipment to be diagnosed.
[0054] Specifically, the mechanical equipment to be diagnosed refers to the mechanical equipment that currently needs to plan the fault correction process. The operation log data includes, but is not limited to, the basic information of the mechanical equipment, the fault information of the mechanical equipment, the major monitoring and diagnosis categories to which the mechanical equipment belongs, and the fault correction methods of the mechanical equipment, etc. The mechanical equipment is subjected to BAS clustering according to the above operation log data of the mechanical equipment. The diagnosis target of the mechanical equipment to be diagnosed refers to the diagnosis to be made according to the operation log data of the mechanical equipment.
[0055] Step S102, determine the standard strategy for the fault correction process of the to-be-diagnosed BAS group based on the repaired fault correction processes of all the repaired mechanical equipment in the to-be-diagnosed BAS group.
[0056] Specifically, after determining the BAS group to which the mechanical equipment to be diagnosed belongs, the BAS group also includes repaired mechanical equipment, and the repaired mechanical equipment corresponds to a monitoring record, and the monitoring record includes repaired operation log data and repaired fault correction processes. The repaired operation log data includes, but is not limited to, the basic information of the mechanical equipment, the fault information of the mechanical equipment, the MDC to which the mechanical equipment belongs, and the fault correction methods of the mechanical equipment, etc. The mechanical equipment is subjected to BAS clustering according to the above operation log data of the mechanical equipment. The repaired fault correction processes include, but are not limited to, taking time as the horizontal axis and the diagnosis process as the vertical axis, formulating a corresponding diagnosis plan table, which details the diagnosis time, diagnosis process, and diagnosis target, etc.
[0057] Furthermore, since the operation logs and diagnoses of mechanical equipment have commonalities within the same BAS group, a standardized fault correction process standard strategy can be determined through the fault correction processes of the repaired mechanical equipment in the BAS clustering. The fault correction process with a relatively high frequency of occurrence in the current BAS clustering can be used as the fault correction process standard strategy for the current BAS group.
[0058] As an alternative embodiment of the present application, determining the fault correction process standard strategy for the BAS group to be diagnosed based on the fault correction processes of all repaired mechanical equipment in the BAS group to be diagnosed includes: sequencing the fault correction processes of the repaired mechanical equipment to obtain multiple sequential items; constructing an inverted linked list based on each sequential item to determine, through the inverted linked list, the sequential items that repeatedly appear in the fault correction processes of multiple repaired mechanical equipment, obtaining a linked list node set; determining, from the sequential items in the linked list node set, a fault correction process pattern that meets the diagnostic objectives of the mechanical equipment to be diagnosed, where the fault correction process pattern represents the diagnostic processes frequently occurring in the BAS group to be diagnosed; and determining the linked list node set with the largest number of item sets and the highest frequency that meets the fault correction process pattern, and the formed path is the fault correction process standard strategy.
[0059] Specifically, the fault correction processes of the repaired faults can be obtained from the monitoring records of all mechanical equipment in the current BAS group, and then the fault correction processes of each mechanical equipment are sequenced to form sequential items. An inverted linked list is constructed based on each sequential item, and the FP tree is used to mine the linked list node set, which are the sequential items that repeatedly appear in the fault correction processes of multiple mechanical equipment. The fault correction process pattern that meets the diagnostic objectives of the mechanical equipment to be diagnosed is extracted from the linked list node set, and this fault correction process pattern represents the common diagnostic processes in the current BAS group. Finally, the path formed by the linked list node set with the largest number of item sets and the highest frequency that meets the current fault correction process pattern is used as the fault correction process standard strategy for the current BAS group.
[0060] Step S103, based on the repaired operation log data of each repaired mechanical equipment in the BAS group to be diagnosed and the operation log data of the mechanical equipment to be diagnosed, determine the associated mechanical equipment associated with the mechanical equipment to be diagnosed from each repaired mechanical equipment.
[0061] Specifically, for any mechanical equipment (mechanical equipment to be diagnosed) in the current BAS cluster whose fault correction process has not been determined, the associated mechanical equipment of the current mechanical equipment can be determined based on the operation log data between the current mechanical equipment and the repaired mechanical equipment. Since the fault correction process of the associated mechanical equipment is most likely associated with the fault correction process of the current mechanical equipment, the diagnostic process omitted by the current mechanical equipment in the fault correction process standard strategy of the current BAS cluster can be determined based on the associated mechanical equipment. Since the diagnostic targets of different mechanical equipment are different, the optimized omitted diagnostic processes are screened out based on the diagnostic targets of the current mechanical equipment and the repaired mechanical equipment.
[0062] Furthermore, when determining the associated mechanical equipment, the fault names of the repaired mechanical equipment and the mechanical equipment to be diagnosed, as well as the operation log texts such as the inspection items, can be extracted from the repaired operation log data of the repaired mechanical equipment and the operation log data of the mechanical equipment to be diagnosed. The repaired mechanical equipment with a high degree of overlap of important node information in the operation log is selected as the associated mechanical equipment of the current mechanical equipment.
[0063] Further, as an optional embodiment of the present application, based on the repaired operation log data of each repaired mechanical equipment in the BAS group to be diagnosed and the operation log data of the mechanical equipment to be diagnosed, determining the associated mechanical equipment associated with the mechanical equipment to be diagnosed from each repaired mechanical equipment includes: classifying each repaired mechanical equipment based on the repaired operation log data of each repaired mechanical equipment in the BAS group to be diagnosed to obtain multiple mechanical equipment groups; determining the operation log correlation between each repaired mechanical equipment in the BAS group to be diagnosed and the mechanical equipment to be diagnosed based on the repaired operation log data of the mechanical equipment group to which each repaired mechanical equipment in the BAS group to be diagnosed belongs, the repaired operation log data of each repaired mechanical equipment and the operation log data of the mechanical equipment to be diagnosed; determining the associated mechanical equipment associated with the mechanical equipment to be diagnosed from each repaired mechanical equipment in the BAS group to be diagnosed based on the operation log correlation.
[0064] Specifically, mechanical equipment with associated operation log features is classified to avoid the situation where the associated mechanical equipment cannot be determined due to incomplete operation log information of some mechanical equipment. Specifically, the classification can be based on the operation log important node information of the repaired operation log data of each repaired mechanical equipment in the current BAS group.
[0065] Further, based on the intersection of the important node information of the operation logs between the current mechanical equipment to be diagnosed and the repaired mechanical equipment, and the intersection of the operation log keywords of the current mechanical equipment to be diagnosed and the operation log keywords of the mechanical equipment group to which the repaired mechanical equipment belongs, the operation log correlation degree between the current mechanical equipment to be diagnosed and any repaired mechanical equipment can be determined. The operation log correlation degree represents the similarity degree of the operation logs between the current mechanical equipment to be diagnosed and any repaired mechanical equipment. The higher the operation log correlation degree, the higher the similarity degree of the operation logs between the current mechanical equipment to be diagnosed and any repaired mechanical equipment. When determining the associated mechanical equipment associated with the mechanical equipment to be diagnosed from each repaired mechanical equipment in the BAS group to be diagnosed based on the operation log correlation degree, the operation log correlation degree can be normalized, and the normalized numerical range is [0, 1]. The repaired mechanical equipment with an operation log correlation degree greater than the threshold is used as the associated mechanical equipment of the mechanical equipment to be diagnosed. Among them, the threshold can be determined based on the actual situation. For example, the value is 0.7, and the embodiments of the present application do not make any limitations here.
[0066] As an optional embodiment of the present application, based on the repaired operation log data of the mechanical equipment group to which each repaired mechanical equipment in the BAS group to be diagnosed belongs, the repaired operation log data of each repaired mechanical equipment, and the operation log data of the mechanical equipment to be diagnosed, determining the operation log correlation degree between each repaired mechanical equipment in the BAS group to be diagnosed and the mechanical equipment to be diagnosed includes: determining the current node information intersection quantity of the important node information intersection of the operation log important node information set of the operation log data of the mechanical equipment to be diagnosed and the operation log important node information set of the repaired operation log data of the repaired mechanical equipment; determining the repaired node information intersection quantity of the important node information intersection of the operation log important node information set of the operation log data of the mechanical equipment to be diagnosed and the operation log important node information set of the repaired operation log data of the mechanical equipment group to which each repaired mechanical equipment in the BAS group to be diagnosed belongs; determining the number of repaired node information of the operation log important node information of the repaired operation log data of the repaired mechanical equipment, and the number of repaired target node information of the operation log important node information of the repaired operation log data of the mechanical equipment group to which each repaired mechanical equipment in the BAS group to be diagnosed belongs; calculating the first ratio of the current node information intersection quantity to the number of repaired node information, and the second ratio of the repaired node information intersection quantity to the number of repaired target node information; determining the sum value of the first ratio and the second ratio as the operation log correlation degree.
[0067] Specifically, the number of intersections of current node information refers to the number of the same important node information of the operating log in the set of important node information of the operating log of the operating log data of the mechanical equipment to be diagnosed and the set of important node information of the operating log of the repaired operating log data of the repaired mechanical equipment. The number of intersections of repaired node information refers to the number of the same operating log keywords in the set of important node information of the operating log of the operating log data of the mechanical equipment to be diagnosed and the set of important node information of the repaired operating log data of the mechanical equipment group to which each repaired mechanical equipment of the BAS group to be diagnosed belongs.
[0068] Furthermore, the operating log correlation degree can be calculated by the following formula:
[0069]
[0070]
[0071]
[0072] In the above formula, represents the operating log correlation degree between the current mechanical equipment to be diagnosed and the v-th repaired mechanical equipment, represents the set of important node information of the operating log of the current mechanical equipment to be diagnosed, represents the set of important node information of the operating log of the repaired operating log data of the v-th repaired mechanical equipment, represents the number of intersections of important node information between the current mechanical equipment to be diagnosed and the v-th repaired mechanical equipment (the number of intersections of current node information), represents the set of important node information of the operating log of the repaired operating log data of the mechanical equipment group to which the v-th repaired mechanical equipment belongs, represents the number of intersections of important node information between the set of important node information of the operating log of the operating log data of the current mechanical equipment to be diagnosed and the set of important node information of the operating log of the repaired operating log data of the mechanical equipment group to which the v-th repaired mechanical equipment belongs (the number of intersections of repaired node information). represents the number of important node information of the repaired operating log data of the v-th repaired mechanical equipment (the number of repaired node information items), represents the number of repaired target node information items of the important node information of the operating log of the repaired operating log data of the mechanical equipment group to which each repaired mechanical equipment of the BAS group to be diagnosed belongs. represents the consistency between the operating log data of the current mechanical equipment to be diagnosed and the repaired operating log data of the v-th repaired mechanical equipment; Indicates the consistency between the operation log data of the current mechanical equipment to be diagnosed and the repaired operation log data of the mechanical equipment group where the v-th repaired mechanical equipment is located. Is a counting function.
[0073] Furthermore, the correlation degree of the operation logs between the current mechanical equipment to be diagnosed and the v-th repaired mechanical equipment The larger the value, the more correlated the mechanical equipment to be diagnosed is with the v-th repaired mechanical equipment.
[0074] Step S104, determine the missing diagnostic processes in the standard strategy of the fault correction process based on the repaired fault correction processes of the associated mechanical equipment.
[0075] Specifically, the missing diagnostic processes refer to: the diagnostic processes in the repaired fault correction processes of the associated mechanical equipment that are not present in the standard strategy of the fault correction process. When determining such missing diagnostic processes, each diagnostic process can be extracted from the repaired fault correction processes, and each diagnostic process can be extracted from the standard strategy of the fault correction process. Then, the diagnostic processes that are present in the repaired fault correction processes but not in the standard strategy of the fault correction process are used as the missing diagnostic processes.
[0076] As an optional embodiment of the present application, determining the missing diagnostic processes in the standard strategy of the fault correction process based on the repaired fault correction processes of the associated mechanical equipment includes: sequencing the repaired fault correction processes of the associated mechanical equipment to obtain a plurality of first sequenced items, sequencing the standard strategy of the fault correction process to obtain a plurality of second sequenced items; comparing each first sequenced item and each second sequenced item to determine the missing first sequenced items in the standard strategy of the fault correction process; determining the diagnostic processes corresponding to the missing first sequenced items as the missing diagnostic processes.
[0077] Specifically, after determining the fault correction process of the associated mechanical equipment, sequence the fault correction process of the associated mechanical equipment and the standard strategy of the fault correction process of the current BAS clustering to form sequenced items one by one. Compare the sequenced items of the fault correction process of the associated mechanical equipment with the sequenced items of the standard strategy of the fault correction process of the current BAS clustering to determine the missing sequenced items in the standard strategy of the fault correction process in the current BAS group. The diagnostic processes represented by these sequenced items are the missing diagnostic processes of the current mechanical equipment to be diagnosed.
[0078] Step S105, determine the weights of the missing diagnostic processes based on the repaired fault correction processes of each repaired mechanical equipment in the BAS group to be diagnosed and the diagnostic objectives of the mechanical equipment to be diagnosed.
[0079] Specifically, the diagnosis target refers to the diagnosis to be carried out for the fault condition of the mechanical equipment to be diagnosed. Further, since the faults of the associated mechanical equipment and the current mechanical equipment to be diagnosed are related, but their diagnosis targets may be different. Therefore, it is necessary to further screen the omitted diagnosis processes based on the comparison between the diagnosis target of the current mechanical equipment to be diagnosed and the diagnosis target of the associated mechanical equipment, and determine the most needed diagnosis process for the current mechanical equipment to be diagnosed. Therefore, the weight of each omitted diagnosis process can be determined through the diagnosis target of the mechanical equipment to be diagnosed and the repaired fault correction process of the repaired mechanical equipment. The higher the weight of the omitted diagnosis process, the greater the possibility that it is the most needed diagnosis process for the mechanical equipment to be diagnosed.
[0080] As an optional embodiment of the present application, determining the weight of the omitted diagnosis process based on the repaired fault correction process of each repaired mechanical equipment in the BAS group to be diagnosed and the diagnosis target of the mechanical equipment to be diagnosed includes: determining the diagnostic correlation degree between each repaired mechanical equipment in the BAS group to be diagnosed and the diagnosis target of the mechanical equipment to be diagnosed based on the repaired fault correction process of each repaired mechanical equipment in the BAS group to be diagnosed and the diagnosis target of the mechanical equipment to be diagnosed; determining the product of the operation log correlation degree and the diagnostic correlation degree as the weight of the omitted diagnosis process of the associated mechanical equipment.
[0081] Specifically, the diagnostic correlation degree refers to the degree of correlation between the diagnosis target in the repaired fault correction process of each repaired mechanical equipment in the BAS group to be diagnosed and the diagnosis target of the mechanical equipment to be diagnosed. Specifically, the diagnosis target in the repaired fault correction process of each repaired mechanical equipment in the BAS group to be diagnosed can be compared with the diagnosis target of the mechanical equipment to be diagnosed to determine the diagnostic correlation degree.
[0082] As an optional embodiment of the present application, determining the diagnostic correlation degree between each repaired mechanical equipment in the BAS group to be diagnosed and the diagnosis target of the mechanical equipment to be diagnosed based on the repaired fault correction process of each repaired mechanical equipment in the BAS group to be diagnosed and the diagnosis target of the mechanical equipment to be diagnosed includes: determining the set of important node information of the diagnosis target of the mechanical equipment to be diagnosed and the set of important node information of the diagnosis target in the repaired fault correction process of the repaired mechanical equipment; calculating the number of repaired node intersections of the important node information intersection between the set of important node information of the diagnosis target of the mechanical equipment to be diagnosed and the set of important node information of the diagnosis target in the repaired fault correction process of the repaired mechanical equipment; determining the number of repaired nodes of the important node information of the diagnosis target in the repaired fault correction process of the repaired mechanical equipment; determining the third ratio of the number of repaired node intersections to the number of repaired nodes as the diagnostic correlation degree.
[0083] Further, the diagnostic correlation degree can be calculated by the following formula:
[0084]
[0085]
[0086] In the above formula, represents the diagnostic correlation degree between the current mechanical equipment to be diagnosed and the diagnostic target of the v-th repaired mechanical equipment, represents the set of important node information of the diagnostic target of the current mechanical equipment to be diagnosed, represents the set of important node information of the diagnostic target of the v-th repaired mechanical equipment, represents the number of intersections of the important node information of the diagnostic target between the current mechanical equipment to be diagnosed and the v-th repaired mechanical equipment (the number of intersection lines of repaired nodes), represents the number of important node information of the diagnostic target of the v-th repaired mechanical equipment (the number of repaired nodes), represents the intersection situation between the diagnostic target of the current standard strategy mechanical equipment and the diagnostic target of the v-th repaired mechanical equipment, and represents the diagnostic correlation degree between the current mechanical equipment to be diagnosed and the diagnostic target of the v-th repaired mechanical equipment.
[0087] Furthermore, the diagnostic correlation degree between the current mechanical equipment to be diagnosed and the diagnostic target of the v-th repaired mechanical equipment is
[0088] The larger it is, the closer the diagnostic target of the current mechanical equipment to be diagnosed is to the diagnostic target of the v-th repaired mechanical equipment. Furthermore, by aggregating the operation log correlation degrees
[0089]
[0090] In the above formula, represents the weight of the missing diagnostic process provided by the v-th repaired mechanical equipment, represents the operation log correlation degree between the current mechanical equipment to be diagnosed and the v-th repaired mechanical equipment, represents the diagnostic correlation degree between the current mechanical equipment to be diagnosed and the diagnostic target of the v-th repaired mechanical equipment.
[0091] Step S106: Determine the missing diagnostic process to be diagnosed for the mechanical equipment to be diagnosed based on the weight, the number of associated mechanical equipment of the associated mechanical equipment, and the number of reference mechanical equipment of the associated mechanical equipment corresponding to the missing diagnostic process in the repaired fault correction process.
[0092] Specifically, the weights of each missing diagnostic process are determined through the running log correlation degree and the diagnostic target diagnostic correlation degree, so as to further screen the missing diagnostic processes and determine the diagnostic processes most needed by the mechanical equipment to be diagnosed currently. If the current missing diagnostic process appears frequently in the diagnostic processes of the currently associated mechanical equipment, it can also indicate that the current missing diagnostic process is relatively important for the diagnosis of the current mechanical equipment. Therefore, the optimized missing diagnostic processes of the mechanical equipment to be diagnosed can be determined based on the number of associated mechanical equipment and the number of associated mechanical equipment corresponding to the missing diagnostic processes in the standard strategy of the fault correction process.
[0093] As an optional embodiment of the present application, determining the missing diagnostic processes to be diagnosed of the mechanical equipment to be diagnosed based on the weight, the number of associated mechanical equipment of the associated mechanical equipment, and the number of reference mechanical equipment corresponding to the missing diagnostic processes in the repaired fault correction process includes: determining the contribution degree of the missing diagnostic processes of the associated mechanical equipment based on the weight, the number of associated mechanical equipment of the associated mechanical equipment, and the number of reference mechanical equipment corresponding to the missing diagnostic processes in the repaired fault correction process, where the contribution degree characterizes the importance of the missing diagnostic process to the diagnosis of the mechanical equipment to be diagnosed; determining the missing diagnostic processes to be diagnosed of the mechanical equipment to be diagnosed based on the contribution degree.
[0094] Specifically, the contribution degree of each missing diagnostic process is determined based on the number of associated mechanical equipment and the number of associated mechanical equipment corresponding to the missing diagnostic processes in the standard strategy of the fault correction process. If the contribution degree is relatively high, it indicates that the missing diagnostic process is relatively important for the diagnostic process of the mechanical equipment to be diagnosed. It can be used as the optimized missing diagnostic process of the mechanical equipment to be diagnosed.
[0095] As an optional embodiment of the present application, determining the contribution degree of the missing diagnostic processes of the associated mechanical equipment based on the weight, the number of associated mechanical equipment of the associated mechanical equipment, and the number of reference mechanical equipment corresponding to the missing diagnostic processes in the repaired fault correction process includes: calculating the fourth ratio of the number of reference mechanical equipment to the number of associated mechanical equipment, and summing the weights of the missing diagnostic processes of each associated mechanical equipment to obtain the sum weight; calculating the product of the fourth ratio and the sum weight; determining the normalized product as the contribution degree.
[0096] Specifically, the contribution degree can be calculated using the following formula:
[0097]
[0098] In the above formula, represents the contribution degree of the u-th missing diagnostic process, Denote the number of associated mechanical equipment with the u-th missing diagnosis process in the repaired fault correction process of the associated mechanical equipment (reference mechanical equipment quantity). Denote the number of associated mechanical equipment of the current mechanical equipment (associated mechanical equipment quantity). Denote the importance of the u-th missing diagnosis process among the associated mechanical equipment of the mechanical equipment to be diagnosed currently. Denote the weight of the associated mechanical equipment with the u-th missing diagnosis process in the i-th repaired fault correction process; Denote the overall importance (summed weight) of the u-th missing diagnosis process among the associated mechanical equipment. The function is a normalization function, and the normalized data is in the range of [0, 1]. The contribution degree of the u-th missing diagnosis process The larger the value, the more important the u-th missing diagnosis process is for the mechanical equipment to be diagnosed.
[0099] As an optional embodiment of the present application, determining the missing diagnosis process to be diagnosed for the mechanical equipment to be diagnosed based on the contribution degree includes: determining the missing diagnosis process with a contribution degree greater than the threshold as the missing diagnosis process to be diagnosed.
[0100] Specifically, the threshold can be determined based on the actual scenario. For example, the value is 0.5, and the embodiments of the present application do not limit this here. If the contribution degree is greater than the threshold, then determine this missing diagnosis process as the missing diagnosis process optimized for the current mechanical equipment to be diagnosed.
[0101] Step S107, add the missing diagnosis process to be diagnosed to the standard strategy of the fault correction process to obtain the optimized fault correction process of the mechanical equipment to be diagnosed.
[0102] Specifically, after determining the missing diagnosis process to be diagnosed for the current mechanical equipment to be diagnosed, add it to the standard strategy of the fault correction process of the current BAS group, and determine the standard strategy of the fault correction process after adding the missing diagnosis process as the optimized fault correction process of the current mechanical equipment to be diagnosed. This optimized fault correction process is the fault correction process planned for the mechanical equipment to be diagnosed.
[0103] In the embodiments of the present application, for each mechanical device, a standardized fault correction process standard strategy is determined according to the repaired fault correction process of the repaired mechanical devices in the BAS group where the mechanical device is located. Furthermore, an omission diagnosis process for the fault correction process standard strategy of the BAS group where the current mechanical device is located is determined based on the repaired operation log data of the repaired mechanical devices and the repaired fault correction process. Then, based on the repaired fault correction process of the repaired mechanical devices and the diagnosis target of the mechanical device to be diagnosed, an optimized omission diagnosis process for the mechanical device is determined, and the omission diagnosis process is added to the fault correction process standard strategy to obtain an optimized fault correction process for the mechanical device. Therefore, the present application does not need to sequentially determine the personalized fault correction processes of each mechanical device based on factors such as the characteristics of the mechanical device, but only needs to add the omission diagnosis process of the mechanical device to the fault correction process standard strategy, saving a large amount of manpower and time and improving the planning efficiency of the fault correction process.
[0104] The specific embodiments of the invention have been described in detail above, but they are only examples, and the present application is not limited to the specific embodiments described above. For those skilled in the art, any equivalent modification or substitution of the invention is also within the scope of the present application. Therefore, equivalent transformations, modifications, improvements, etc. made without departing from the spirit and principle of the present application should all be covered within the scope of the present application.
Claims
1. A method for diagnosing mechanical equipment operation faults, characterized in that: The mechanical equipment operation fault diagnosis method comprises: Performing BAS clustering on the mechanical equipment to be diagnosed based on the operation log data of the mechanical equipment to be diagnosed, obtaining the BAS group to be diagnosed to which the mechanical equipment to be diagnosed belongs, and obtaining the diagnosis target of the mechanical equipment to be diagnosed; Determining a standard strategy for the fault correction process of the BAS group to be diagnosed based on the repaired fault correction processes of all repaired mechanical devices of the BAS group to be diagnosed; Determine, from each of the repaired mechanical devices, an associated mechanical device associated with the mechanical device to be diagnosed based on the repaired operation log data of each of the repaired mechanical devices in the to-be-diagnosed BAS group and the operation log data of the mechanical device to be diagnosed; Determining the missing diagnostic process with omissions in the fault correction process standard strategy based on the repaired fault correction process of the associated mechanical equipment; Determining the weight of the omitted diagnosis process based on the repaired fault correction process of each of the repaired mechanical devices of the BAS group to be diagnosed and the diagnosis target of the mechanical device to be diagnosed; Determine the missed diagnosis process to be diagnosed of the mechanical device to be diagnosed according to the weight, the number of associated mechanical devices of the associated mechanical device, and the number of reference mechanical devices of the associated mechanical devices corresponding to the missed diagnosis process in the repaired fault correction process; The missed diagnosis process to be diagnosed is added to the standard strategy of the fault correction process to obtain the optimized fault correction process of the mechanical equipment to be diagnosed.
2. The mechanical equipment operation fault diagnosis method according to claim 1 is characterized in that: The determining, based on the repaired operation log data of each of the repaired mechanical devices in the to-be-diagnosed BAS group and the operation log data of the to-be-diagnosed mechanical device, from each of the repaired mechanical devices associated with the to-be-diagnosed mechanical device comprises: Classifying each of the repaired mechanical equipment based on the repaired operation log data of each of the repaired mechanical equipment in the BAS group to be diagnosed to obtain a plurality of mechanical equipment groups; Determine the correlation between the operation logs of each of the repaired mechanical devices in the BAS group to be diagnosed and the mechanical device to be diagnosed based on the repaired operation log data of the mechanical device group to which each of the repaired mechanical devices in the BAS group to be diagnosed belongs, the repaired operation log data of each of the repaired mechanical devices, and the operation log data of the mechanical device to be diagnosed; Based on the operation log association degree, an associated mechanical device associated with the mechanical device to be diagnosed is determined from each of the repaired mechanical devices in the BAS group to be diagnosed.
3. The mechanical equipment operation fault diagnosis method according to claim 2 is characterized in that: The determining of the correlation between the operation logs of each of the repaired mechanical devices in the BAS group to be diagnosed and the mechanical device to be diagnosed based on the repaired operation log data of the mechanical device group to which each of the repaired mechanical devices in the BAS group to be diagnosed belongs, the repaired operation log data of each of the repaired mechanical devices, and the operation log data of the mechanical device to be diagnosed comprises: Determine the current number of node information intersections of the important node information set of the operation log data of the mechanical equipment to be diagnosed and the important node information set of the operation log data of the repaired mechanical equipment; Determine the number of repaired node information intersections of the important node information set of the operation log data of the mechanical equipment to be diagnosed and the important node information set of the operation log data of the repaired mechanical equipment group to which each of the repaired mechanical equipment in the BAS group to be diagnosed belongs; Determine the number of repaired node information pieces of the operation log important node information of the repaired operation log data of the repaired mechanical equipment, and the number of repaired target node information pieces of the operation log important node information of the repaired operation log data of the mechanical equipment group to which each of the repaired mechanical equipment of the to-be-diagnosed BAS group belongs; Calculating a first ratio of the number of intersections of the current node information to the number of repaired node information pieces, and a second ratio of the number of intersections of the repaired node information to the number of repaired target node information pieces; A sum of the first ratio and the second ratio is determined as the operation log association degree.
4. The mechanical equipment operation fault diagnosis method according to claim 1 is characterized in that: The method of determining the fault correction process standard strategy of the BAS group to be diagnosed based on the repaired fault correction process of all repaired mechanical equipment of the BAS group to be diagnosed includes: Sequencing the repaired fault correction process of the repaired mechanical equipment to obtain a plurality of sequence items; Constructing a reverse linked list according to each of the time sequence items, so as to determine the time sequence items that appear repeatedly in the repaired fault correction processes of the plurality of repaired mechanical devices through the reverse linked list, and obtaining a set of linked list nodes; Determining a fault correction process pattern that meets the diagnostic target of the mechanical equipment to be diagnosed from the time sequence items of the linked list node set, wherein the fault correction process pattern represents a frequently occurring diagnostic process in the BAS group to be diagnosed; A set of linked list nodes having the largest number of item sets and the highest frequency that conforms to the fault correction process pattern is determined, and the path formed is the standard strategy of the fault correction process.
5. The mechanical equipment operation fault diagnosis method according to claim 1 is characterized in that: The step of determining the missing diagnostic process with missing components in the fault correction process standard strategy based on the repaired fault correction process of the associated mechanical equipment includes: Sequencing the repaired fault correction process of the associated mechanical equipment to obtain a plurality of first sequence items, and sequencing the fault correction process standard strategy to obtain a plurality of second sequence items; Comparing each of the first timing items with each of the second timing items to determine the first timing items omitted in the standard strategy of the fault correction process; Determine that the diagnosis process corresponding to the omitted first timing item is the omitted diagnosis process.
6. The mechanical equipment operation fault diagnosis method according to claim 2 is characterized in that: The determining of the weight of the missing diagnosis process based on the repaired fault correction process of each of the repaired mechanical devices of the to-be-diagnosed BAS group and the diagnosis target of the to-be-diagnosed mechanical device comprises: Determine the diagnostic relevance between each of the repaired mechanical devices in the BAS group to be diagnosed and the diagnostic target of the mechanical device to be diagnosed based on the repaired fault correction process of each of the repaired mechanical devices in the BAS group to be diagnosed and the diagnostic target of the mechanical device to be diagnosed; The product of the operation log correlation degree and the diagnosis correlation degree is determined as the weight of the missed diagnosis process of the associated mechanical equipment.
7. The mechanical equipment operation fault diagnosis method according to claim 6 is characterized in that: The determining of the diagnostic relevance between each of the repaired mechanical devices in the BAS group to be diagnosed and the diagnostic target of the mechanical device to be diagnosed based on the repaired fault correction process of each of the repaired mechanical devices in the BAS group to be diagnosed and the diagnostic target of the mechanical device to be diagnosed comprises: Determine an important node information set of a diagnosis target of the mechanical device to be diagnosed, and an important node information set of a diagnosis target in a repaired fault correction process of the repaired mechanical device; Calculate the number of repaired node intersections of the important node information set of the diagnosis target of the mechanical equipment to be diagnosed and the important node information set of the diagnosis target in the repaired fault correction process of the repaired mechanical equipment; Determine the number of repaired nodes of important node information of the diagnosis target in the repaired fault correction process of the repaired mechanical equipment; A third ratio of the number of intersections of the repaired nodes to the number of the repaired nodes is determined as the diagnosis association degree.
8. The mechanical equipment operation fault diagnosis method according to any one of claims 1 to 7, characterized in that: Determining the missed diagnosis process to be diagnosed of the mechanical device to be diagnosed according to the weight, the number of associated mechanical devices of the associated mechanical device, and the number of reference mechanical devices of the associated mechanical devices corresponding to the missed diagnosis process in the repaired fault correction process includes: Determine the contribution of the omitted diagnosis process of the associated mechanical device according to the weight, the number of associated mechanical devices of the associated mechanical device, and the number of reference mechanical devices of the associated mechanical devices corresponding to the omitted diagnosis process in the repaired fault correction process, wherein the contribution represents the importance of the omitted diagnosis process to the diagnosis of the mechanical device to be diagnosed; The missed diagnosis process of the mechanical equipment to be diagnosed is determined based on the contribution degree.
9. The mechanical equipment operation fault diagnosis method according to claim 8, characterized in that: Determining the contribution of the missed diagnosis process of the associated mechanical device according to the weight, the number of associated mechanical devices of the associated mechanical device, and the number of reference mechanical devices of the associated mechanical devices corresponding to the missed diagnosis process in the repaired fault correction process includes: Calculating a fourth ratio of the number of reference mechanical devices to the number of associated mechanical devices, and summing the weights of the missed diagnosis processes of the associated mechanical devices to obtain a summed weight; calculating a product of the fourth ratio and the summed weight; The normalized product is determined as the contribution degree.
10. The mechanical equipment operation fault diagnosis method according to claim 8, characterized in that: The process of determining the missed diagnosis of the mechanical equipment to be diagnosed based on the contribution includes: It is determined that the missed diagnosis process with a contribution greater than a threshold is the missed diagnosis process to be diagnosed.