CN113757223B

CN113757223B - Hydraulic component reliability analysis method and system, computer device, and storage medium

Info

Publication number: CN113757223B
Application number: CN202111037388.9A
Authority: CN
Inventors: 崔竹君; 孙辉; 王普长
Original assignee: Jiangsu XCMG Construction Machinery Institute Co Ltd
Current assignee: Jiangsu XCMG Construction Machinery Institute Co Ltd
Priority date: 2021-09-06
Filing date: 2021-09-06
Publication date: 2023-11-03
Anticipated expiration: 2041-09-06
Also published as: CN113757223A

Abstract

The present disclosure relates to a hydraulic component reliability analysis method and system, a computer device, and a storage medium. The hydraulic component reliability analysis method comprises the following steps: collecting hydraulic component fault information, wherein the hydraulic component fault information comprises hydraulic component field fault data and hydraulic component bench test fault data; according to the hydraulic component fault information, carrying out hydraulic component failure mode classification and constructing a failure case database; fitting and checking the distribution form of the field fault data of the hydraulic component; and carrying out failure mode analysis according to the hydraulic component fault information and the fitting test result. The method comprises the steps of collecting field fault data and bench test fault data of the hydraulic component to form basic data of reliability research work of the hydraulic component; according to the hydraulic component reliability evaluation method, the failure mode can be analyzed and researched through the failure case database, so that the hydraulic component reliability evaluation is completed, and guidance is provided for product design improvement and maintenance strategy optimization.

Description

Hydraulic component reliability analysis method and system, computer device, and storage medium

Technical Field

The present disclosure relates to the field of engineering machinery, and in particular, to a method and system for analyzing reliability of a hydraulic component, a computer device, and a storage medium.

Background

The hydraulic multi-way valve is a key functional component for realizing the motion and power control of mechanical equipment, and the reliable operation of the hydraulic element is the basis of efficient and safe operation of the system and the equipment; however, for a long time, the related technology has insufficient research and accumulation in the aspect of the reliability of the hydraulic element, the failure data utilization rate is low, and the problem of product reliability becomes a key factor for restricting the development of the hydraulic element. Because the engineering machinery hydraulic element failure characteristics, failure modes and damage processes have the characteristics of complexity, diversity, uncertainty and the like, how to systematically analyze and mine hydraulic part failure data, reveal the internal cause and external cause of the hydraulic part failure and failure, find a performance degradation rule, and become an important subject to be solved urgently in the growth process of the engineering machinery industry, such as continuously improving the service quality of products, optimizing the product design, predicting the residual life of the products and the like.

Disclosure of Invention

The inventors found through research that: the related art hydraulic parts have less researches on fault information acquisition and management in the equipment service process, a large amount of fault information is lost, meanwhile, due to the lack of systematic fault information management rules, the fault information of the hydraulic parts is recorded in disorder and lost, and the reliability analysis and research work of the hydraulic parts cannot be systematically carried out.

In view of at least one of the above technical problems, the present disclosure provides a method and system for analyzing reliability of a hydraulic component, a computer device and a storage medium, by collecting field failure data and bench test failure data of the hydraulic component, information such as a failure phenomenon, a failure mode, a failure cause and the like can be analyzed and combed.

According to one aspect of the present disclosure, there is provided a hydraulic component reliability analysis method including:

collecting hydraulic component fault information, wherein the hydraulic component fault information comprises hydraulic component field fault data and hydraulic component bench test fault data;

according to the hydraulic component fault information, carrying out hydraulic component failure mode classification and constructing a failure case database;

fitting and checking the distribution form of the field fault data of the hydraulic component;

and carrying out failure mode analysis according to the hydraulic component fault information and the fitting test result.

In some embodiments of the present disclosure, the hydraulic component reliability analysis method further comprises:

and determining a failure threshold range of the key parameters on the hydraulic component structure based on the hydraulic component historical fault data and the mechanical equipment virtual machine feedback data.

And (3) constructing a model and an operation working condition of the mechanical equipment, and realizing synchronization with the real state of the mechanical equipment through a sensor to realize intelligent monitoring and early warning of the working process of the hydraulic component.

the method comprises the steps of analyzing key performance parameters of mechanical equipment, and identifying the health state of the mechanical equipment by combining failure threshold range and failure mode analysis data;

and early warning is carried out on the impending faults, and solving measures are provided.

In some embodiments of the disclosure, the classifying the hydraulic component failure modes and constructing the failure case database according to the hydraulic component failure information includes:

carding the hydraulic component fault information according to the equipment category, the equipment model, the fault component, the fault part and the failure mode, and establishing a hydraulic component failure mode network;

and (3) standardizing fault information records, and establishing a hydraulic component failure case database through historical fault information and input existing fault information, so as to realize comprehensive and systematic fault data management.

In some embodiments of the disclosure, the carding the hydraulic component failure information by equipment category, equipment model, failure component, failure part, and failure mode, establishing a hydraulic component failure mode network includes:

The hydraulic component fault information is combed according to at least one of equipment category, equipment model, failure part name and model, failure part name, failure mode, fault phenomenon and operation working condition, and typical classification under four failure modes is established aiming at four failure modes of clamping stagnation, leakage, abrasion and fatigue.

In some embodiments of the present disclosure, the fitting verification of the distribution form of the hydraulic component field fault data includes:

under the specific conditions of at least one of equipment category, equipment model, failure part name and model, failure part name, failure mode, failure phenomenon and operation working condition, determining a research object and failure mode, analyzing failure reasons, and establishing maintenance record association;

and carrying out fitting inspection on the distribution form of the field fault data of the hydraulic component by using a mathematical statistics method, and recommending an optimal fitting mode.

In some embodiments of the disclosure, the performing failure mode analysis based on the hydraulic component fault information and the fit test results includes:

based on the hydraulic component fault information, the reliability research analysis mode is adopted to analyze the failure mode by combining sales data.

In some embodiments of the present disclosure, the performing failure mode analysis using reliability research analysis means comprises:

and calculating the average failure-free time of the hydraulic component in a product reliability analysis mode, predicting the service life of the hydraulic component, finding out the weak link of the hydraulic component, and guiding the design development and maintenance strategy formulation of the hydraulic component.

In some embodiments of the disclosure, determining the failure threshold range of the key parameter on the hydraulic component structure based on the hydraulic component historical fault data and the mechanical device virtual machine feedback data includes:

based on historical fault data, performance data of key parts before faults occur and performance data of a hydraulic part bench test are analyzed, failure key parameters are mined, a mathematical model is built, failure threshold intervals and performance degradation trends of all parts on the hydraulic part are calculated, a failure threshold judgment rule of a corresponding failure mode of the specific parts of the hydraulic part is built, and a failure threshold system of the hydraulic part is formed.

In some embodiments of the disclosure, the model and the working condition of the mechanical equipment are built, the real state synchronization with the mechanical equipment is realized through the sensor, and the intelligent monitoring and early warning of the working process of the hydraulic component are realized, including:

According to historical performance degradation trend data of the hydraulic component and a failure threshold index of the hydraulic component, the performance state of the hydraulic component is monitored on line, the performance value level of the hydraulic component in the real state of mechanical equipment is analyzed in time, the service life of the hydraulic component and the failure time of parts on the hydraulic component are predicted, after-sales service is guided, and a part stock plan and a pre-inspection plan are prepared in advance;

and measuring and recording the change value of the key structural parameter of the replaced part, and providing data for researching the performance degradation trend.

In some embodiments of the disclosure, the identifying the health status of the mechanical device by analyzing the key performance parameters of the mechanical device, in combination with the failure threshold range and the failure mode analysis data, and the providing the solution includes:

constructing a symptom set, a reason set, a weight set and a measure set of a fault system;

comprehensively judging the working state of the mechanical equipment through various performance data transmitted by the sensors on the mechanical equipment;

under the condition that equipment is about to fail, analyzing and judging the performance state and failure mode of parts of the hydraulic part according to the failure threshold system;

and correspondingly judging and diagnosing the action trend and the severity of the hydraulic component and the equipment by combining the symptom set, the fault cause set, the weight set and the measure set, and formulating corresponding solving measures.

According to another aspect of the present disclosure, there is provided a hydraulic component reliability analysis system including:

the hydraulic component fault information collection module is used for collecting hydraulic component fault information, wherein the hydraulic component fault information comprises hydraulic component field fault data and hydraulic component bench test fault data;

the database construction module is used for classifying failure modes of the hydraulic component according to the failure information of the hydraulic component and constructing a failure case database;

the distribution fitting module is used for carrying out fitting inspection on the distribution form of the field fault data of the hydraulic component;

and the failure mode analysis module is used for carrying out failure mode analysis according to the hydraulic component fault information and the fitting test result.

In some embodiments of the present disclosure, the hydraulic component reliability analysis system is configured to perform operations to implement the hydraulic component reliability analysis method described in any of the embodiments above.

According to another aspect of the present disclosure, there is provided a computer apparatus comprising:

a memory for storing instructions;

a processor for executing the instructions, causing the computer device to perform operations implementing the hydraulic component reliability analysis method as described in any one of the embodiments above.

According to another aspect of the present disclosure, there is provided a non-transitory computer-readable storage medium storing computer instructions which, when executed by a processor, implement a hydraulic component reliability analysis method as described in any one of the embodiments above.

According to the hydraulic component reliability research method, the on-site fault data and bench test fault data of the hydraulic component are collected, so that the information such as fault phenomenon, failure mode, failure reason and the like can be analyzed and combed, and basic data of the hydraulic component reliability research work are formed; according to the hydraulic component reliability evaluation method, the failure mode can be analyzed and researched through the failure case database, so that the hydraulic component reliability evaluation is completed, and guidance is provided for product design improvement and maintenance strategy optimization.

Drawings

In order to more clearly illustrate the embodiments of the present disclosure or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present disclosure, and other drawings may be obtained according to these drawings without inventive effort to a person of ordinary skill in the art.

FIG. 1 is a schematic diagram of some embodiments of a hydraulic component reliability analysis method of the present disclosure.

FIG. 2 is a schematic illustration of further embodiments of a method of reliability analysis of hydraulic components of the present disclosure.

FIG. 3 is a schematic diagram of some embodiments of a hydraulic component reliability analysis system of the present disclosure.

FIG. 4 is a schematic diagram of further embodiments of a hydraulic component reliability analysis system of the present disclosure.

Fig. 5 is a schematic diagram of some embodiments of a computer device of the present disclosure.

Detailed Description

The following description of the technical solutions in the embodiments of the present disclosure will be made clearly and completely with reference to the accompanying drawings in the embodiments of the present disclosure, and it is apparent that the described embodiments are only some embodiments of the present disclosure, not all embodiments. The following description of at least one exemplary embodiment is merely illustrative in nature and is in no way intended to limit the disclosure, its application, or uses. Based on the embodiments in this disclosure, all other embodiments that a person of ordinary skill in the art would obtain without making any inventive effort are within the scope of protection of this disclosure.

The relative arrangement of the components and steps, numerical expressions and numerical values set forth in these embodiments do not limit the scope of the present disclosure unless it is specifically stated otherwise.

Meanwhile, it should be understood that the sizes of the respective parts shown in the drawings are not drawn in actual scale for convenience of description.

Techniques, methods, and apparatus known to one of ordinary skill in the relevant art may not be discussed in detail, but should be considered part of the specification where appropriate.

In all examples shown and discussed herein, any specific values should be construed as merely illustrative, and not a limitation. Thus, other examples of the exemplary embodiments may have different values.

It should be noted that: like reference numerals and letters denote like items in the following figures, and thus once an item is defined in one figure, no further discussion thereof is necessary in subsequent figures.

The inventors found through research that: the reliability research work of the hydraulic components in the related technology does not form a systematic scheme, wherein the fault data of the hydraulic components only collect field fault data, the fault information adopts a fixed template, and the field is filled independently, so that the data sharing can not be realized; meanwhile, the hydraulic component bench test fault data does not form a standardized fault information collection scheme; because the basic fault data of the hydraulic component is missing, incomplete and irregular, the reliability work of the hydraulic component is difficult to develop.

Most of the related art researches are concentrated on a system level, the reliability and service life design and manufacturing researches of the hydraulic element are few, classification and analysis of a scientific system of failure modes and failure cases of the hydraulic element are lacking, a convincing basic data support of reliability and service life indexes is lacking, a failure case database is not formed, and the reliability evaluation work of the hydraulic element cannot be carried out, so that the production design and after-sale service of the product are difficult to promote.

In view of at least one of the above technical problems, the present disclosure provides a hydraulic component reliability analysis method and system, a computer device, and a storage medium, and is described below by way of specific embodiments.

FIG. 1 is a schematic diagram of some embodiments of a hydraulic component reliability analysis method of the present disclosure. Preferably, the present embodiment may be performed by the hydraulic component reliability analysis system of the present disclosure. The method may comprise at least one of step 11-step 14, wherein:

and 11, collecting hydraulic component fault information, wherein the hydraulic component fault information comprises hydraulic component field fault data and hydraulic component bench test fault data.

In some embodiments of the present disclosure, the hydraulic component may be a multiway valve.

In some embodiments of the present disclosure, the hydraulic component may be a hydraulic component of a work machine such as a pump, cartridge valve, motor, pilot handle, integrated valve, or the like.

And step 12, classifying the failure modes of the hydraulic components according to the failure information of the hydraulic components and constructing a failure case database.

In some embodiments of the present disclosure, step 12 may comprise at least one of step 121-step 122, wherein:

and step 121, carding the fault information of the hydraulic component according to the equipment type, the equipment model, the fault component, the fault part and the failure mode, and establishing a hydraulic component failure mode network.

In some embodiments of the present disclosure, step 121 may include: the hydraulic component fault information is combed according to at least one of equipment category, equipment model, failure part name and model, failure part name, failure mode, fault phenomenon and operation working condition, and typical classification under four failure modes is established aiming at four failure modes of clamping stagnation, leakage, abrasion and fatigue.

Step 122, standardizing fault information records, and establishing a hydraulic component failure case database through historical fault information and input existing fault information to realize comprehensive and systematic fault data management.

And 13, performing fitting inspection on the distribution form of the field fault data of the hydraulic component.

In some embodiments of the present disclosure, step 13 may include at least one of step 131-step 132, wherein:

and 131, determining a research object and a failure mode under the specific conditions of at least one of equipment category, equipment model, failure part name and model, failure part name, failure mode, failure phenomenon and operation working condition, analyzing the failure cause and establishing maintenance record association.

And 132, fitting and checking the distribution form of the field fault data of the hydraulic component by using a mathematical statistics method, and recommending an optimal fitting mode.

And 14, carrying out failure mode analysis according to the hydraulic component fault information and the fitting test result.

In some embodiments of the present disclosure, step 14 may include: based on the hydraulic component fault information, the reliability research analysis mode is adopted to analyze the failure mode by combining sales data.

In some embodiments of the present disclosure, the step of performing failure mode analysis using reliability research analysis may include: and calculating the average failure-free time of the hydraulic component in a product reliability analysis mode, predicting the service life of the hydraulic component, finding out the weak link of the hydraulic component, and guiding the design development and maintenance strategy formulation of the hydraulic component.

Based on the reliability analysis method of the hydraulic component provided by the embodiment of the disclosure, the information such as the fault phenomenon, the failure mode, the failure reason and the like is analyzed and combed by collecting the field fault data and the bench test fault data of the hydraulic component, so that the basic data of the reliability research work of the hydraulic component is formed; and analyzing and researching the failure mode through the failure case database to finish the reliability evaluation of the hydraulic component and provide guidance for product design improvement and maintenance strategy optimization.

FIG. 2 is a schematic illustration of further embodiments of a method of reliability analysis of hydraulic components of the present disclosure. Preferably, the present embodiment may be performed by the hydraulic component reliability analysis system of the present disclosure. The method may include at least one of steps 21-28, wherein:

and step 21, collecting hydraulic component fault information.

In some embodiments of the present disclosure, step 21 may include: and collecting the site fault information of the hydraulic component and the bench test and failure information in the test field.

In some embodiments of the present disclosure, step 21 may include: filling out fault information by after-sales service personnel of equipment or products, completing fault information acquisition by a computer and a mobile terminal, and simultaneously calling out historical field fault information of the hydraulic component by using an after-sales service system of the products; combing the historical bench test fault information of the hydraulic component through a paper version, an electronic version experiment report and electronic version test data; the hydraulic component field fault data management module and the hydraulic component bench test fault data management module are used for timely adding and updating fault data;

In some embodiments of the present disclosure, step 21 may include: and collecting hydraulic component field fault data and hydraulic component bench test fault data. The hydraulic part historical field fault data are retrieved and collected through a product after-sale service system; the hydraulic component historical bench test data are carded through the hydraulic component paper version, the electronic version test report and the electronic version test data; the existing hydraulic component field fault data and the existing hydraulic component bench test data are used for completing fault information input in a hydraulic component field fault data management module and a hydraulic component bench test fault data management module in a computer and mobile terminal mode by after-sales maintenance personnel and test personnel of equipment or products in consideration of portability and universality, and integrity and timeliness of fault information are ensured.

Step 22: failure modes are categorized.

In some embodiments of the present disclosure, step 22 may include: and carding the hydraulic component fault information according to the equipment model, the name and model of the failure part, the name of the failure part, the failure mode, the failure phenomenon and the working condition, and establishing a hydraulic component failure mode network.

In some embodiments of the present disclosure, step 22 may include: because of the working condition, working environment, operating condition, structural complexity and variability of the hydraulic component, the failure mode is combed according to the product category-product model-failure component-failure part-failure mode by a failure mode classification method, and the typical failure modes of clamping stagnation, leakage, abrasion and fatigue (failure or damage of functional components and the like) are classified, and meanwhile, the typical classification under four failure modes is established; the reliability analysis and research work of different parts and different depth layers can be conveniently carried out.

Step 23: and (6) constructing a hydraulic part failure case database.

In some embodiments of the present disclosure, step 23 may include: normalizing fault information records, and establishing a hydraulic component failure case database through historical fault information and existing fault information input; and comprehensive and systematic management of fault data is realized.

In some embodiments of the present disclosure, a failure case database is built in step 23, which is mainly used for managing hydraulic component historical failure data and hydraulic component existing failure data, inputting information through a normalized case database, ensuring comprehensive failure information, solidifying failure information acquisition content, forming normalized acquisition experience of hydraulic component failure information, building hydraulic component failure basic data, and supporting hydraulic component reliability analysis work.

Step 24: and (5) fitting failure mode distribution.

In some embodiments of the present disclosure, step 24 may include: under the specific conditions of different combinations of equipment model, failure part name and model, failure part name, failure mode, failure phenomenon, operation working condition and the like, determining a research object and failure mode, analyzing failure reasons, and establishing maintenance record association; and meanwhile, carrying out failure mode distribution fitting by adopting a mathematical statistics method.

In some embodiments of the present disclosure, the fitting of the fault data distribution in step 24 is to apply a mathematical statistical method to perform a fitting test on the distribution form of the fault data of the hydraulic component on site, and recommend an optimal fitting mode to improve the accuracy of the reliability analysis work of the hydraulic component.

Step 25: failure mode analysis.

In some embodiments of the present disclosure, step 25 may include: based on the hydraulic component fault information, the reliability research analysis method is adopted to analyze the failure mode by combining sales data.

In some embodiments of the present disclosure, in step 25, the failure mode analysis mainly includes analysis of area analysis, time analysis, reliability life analysis under specific conditions, performance degradation trend analysis, and the like.

In some embodiments of the present disclosure, the failure mode analysis of step 25 is a further analysis effort after the fault data distribution fitting, step 25 may include: by means of the product reliability analysis method, the average failure-free time of the hydraulic component is calculated, the service life of the hydraulic component is predicted, the weak link of the hydraulic component is found out, and design development and maintenance strategy formulation of the hydraulic component are guided.

Step 26: failure threshold analysis.

In some embodiments of the present disclosure, step 26 may include: based on historical fault data of the hydraulic component and feedback data of the virtual machine of the mechanical equipment, calculating a failure threshold range of key sensitive parameters on the hydraulic component structure through a fuzzy theory.

In some embodiments of the present disclosure, step 26 may include: based on historical fault data, performance data of key parts and performance data of a hydraulic part bench test before faults occur are analyzed, failure sensitive parameters are mined, a mathematical model is built, failure threshold intervals and performance degradation trends of all parts on the hydraulic part are calculated and deduced, failure threshold judgment rules of corresponding failure modes of specific parts of the hydraulic part are built, and a failure threshold system of the hydraulic part is formed.

Step 27: and (5) building a virtual machine of the mechanical equipment.

In some embodiments of the present disclosure, step 27 may include: the model and the working condition of the real mechanical equipment are built in the digital space through various simulation software, the real state synchronization with the mechanical equipment is realized through the sensor, and the intelligent monitoring and early warning of the working process of the hydraulic component are realized.

In some embodiments of the present disclosure, step 27 may include: setting up a model and an operation working condition of real mechanical equipment in a digital space through various simulation software, realizing synchronization with the real state of the mechanical equipment through a sensor, and realizing intelligent monitoring and early warning of the working process of a hydraulic component; according to historical performance degradation trend data of the hydraulic component and failure threshold indexes of the hydraulic component, the performance state of the hydraulic component is monitored on line, the performance value level of the hydraulic component in the real state of mechanical equipment is analyzed in time, the service after sales is guided, a spare part stock plan, a pre-inspection repair plan and the like are prepared in advance, the spare part to be failed is overhauled and replaced in time, the hydraulic component is enabled to be in a safe state again with minimum cost, and personal safety or economic loss caused by the failure of the hydraulic component is avoided; in addition, the key structural parameter change values of the replaced parts are measured and recorded, and data are provided for the study of performance degradation trend.

Step 28: and (5) intelligent fault diagnosis.

In some embodiments of the present disclosure, step 28 may include: by analyzing key performance parameters of mechanical equipment and combining failure threshold analysis and a fault system, the health state of the equipment is identified, and the possible faults are early-warned, so that solving measures are provided, serious consequences such as serious economic loss, personal safety endangerment and the like are avoided, and the equipment is enabled to run healthily.

In some embodiments of the present disclosure, step 28 may include at least one of steps 281-284.

Step 281, constructing a symptom set, a reason set, a weight set and a measure set of the fault system.

In some embodiments of the present disclosure, as shown in fig. 2, step 28 is performed by a fault system and an intelligent diagnostic system, wherein the fault system is composed of a symptom set, a cause set, a weight (severity coefficient) set, and a measure set, wherein the symptom set is a set of various symptoms that may be shown when a certain fault occurs according to equipment historical fault data and maintenance experience statistics, and the set composed of various different symptoms is the symptom set; the reason set is a fault reason set of each fault counted according to the historical fault data; the weight set is a weight for establishing the importance degree of the single fault of each part in the total evaluation according to the experience of expert team and combining the detection difficulty degree, occurrence probability and severity of the fault of the part to influence the equipment; the measure set is a solution measure set for carding maintenance measures according to the historical maintenance records to form a single symptom.

In step 282, the intelligent diagnostic system comprehensively determines the working state of the mechanical equipment through various performance data transmitted by the sensors on the mechanical equipment.

In some embodiments of the present disclosure, the sensor may include a pressure, flow, temperature, etc. sensor.

And step 283, the intelligent diagnosis system analyzes and judges the performance state and failure mode of the parts of the hydraulic part according to the failure threshold system under the condition that the equipment is about to fail.

And 284, the intelligent diagnosis system combines the symptom set, the fault cause set, the weight set and the measure set to judge and diagnose the action trend and the severity of the hydraulic component and the equipment correspondingly, and makes corresponding solving measures to remind operators of taking corresponding measures on the equipment, so that serious consequences such as huge economic loss, personal safety endangerment and the like are avoided, and the equipment is enabled to run healthily.

The embodiment of the disclosure provides an failure mode establishing method, which can screen failure data through single condition and compound condition combination, define failure modes, realize single failure mode and compound failure mode analysis models and complete establishment of multiple failure mode analysis models.

The embodiment of the disclosure provides a reliability analysis method for hydraulic components such as a multi-way valve, which specifically comprises eight parts including fault information collection, failure mode classification, failure case database construction, fault data distribution fitting, failure mode analysis, failure threshold analysis, mechanical equipment virtual machine and intelligent fault diagnosis, so that the functions of multi-way valve reliability analysis based on historical fault data and functions of on-line monitoring, prediction of service life of the multi-way valve, early warning of equipment faults and the like of the mechanical equipment virtual machine are realized.

FIG. 3 is a schematic diagram of some embodiments of a hydraulic component reliability analysis system of the present disclosure. As shown in fig. 3, the hydraulic component reliability analysis system execution of the present disclosure may include a fault information collection module 31, a database construction module 32, a distribution fitting module 33, and a failure mode analysis module 34, wherein:

the fault information collection module 31 is configured to collect hydraulic component fault information, where the hydraulic component fault information includes hydraulic component field fault data and hydraulic component bench test fault data.

The database construction module 32 is configured to classify failure modes of the hydraulic component according to the failure information of the hydraulic component and construct a failure case database.

In some embodiments of the present disclosure, database construction module 32 may be configured to comb hydraulic component failure information by device category, device model, failed component, failed part, and failure mode, establishing a hydraulic component failure mode network; and (3) standardizing fault information records, and establishing a hydraulic component failure case database through historical fault information and input existing fault information, so as to realize comprehensive and systematic fault data management.

In some embodiments of the present disclosure, the database construction module 32 may be configured to, in the case of carding the hydraulic component failure information by device category, device model, failed component, failed part, and failure mode, establish a hydraulic component failure mode network, card the hydraulic component failure information by at least one of device category, device model, failed component name and model, failed part name, failure mode, failure phenomenon, and operating condition, establish a typical classification in four failure modes for four failure modes of stuck, leaked, worn, and fatigued.

The distribution fitting module 33 is used for performing fitting check on the distribution form of the hydraulic component field fault data.

In some embodiments of the present disclosure, the distribution fitting module 33 may be configured to determine a study object and a failure mode under specific conditions of at least one of a device category, a device model, a failure part name and model, a failure part name, a failure mode, a failure phenomenon, and an operation condition, analyze a failure cause, and establish a maintenance record association; and carrying out fitting inspection on the distribution form of the field fault data of the hydraulic component by using a mathematical statistics method, and recommending an optimal fitting mode.

The failure mode analysis module 34 is configured to perform failure mode analysis according to the hydraulic component failure information and the fitting inspection result.

In some embodiments of the present disclosure, the failure mode analysis module 34 may be configured to perform failure mode analysis in a reliability research analysis manner in combination with sales data based on hydraulic component failure information.

In some embodiments of the present disclosure, the failure mode analysis module 34 may be configured to calculate an average failure time of the hydraulic component, predict a lifetime of the hydraulic component, find out a weak link of the hydraulic component, and guide design development and maintenance policy formulation of the hydraulic component in a product reliability analysis manner, where the failure mode analysis is performed in a reliability research analysis manner.

In some embodiments of the present disclosure, the hydraulic component reliability analysis system may also be used to determine a failure threshold range for a key parameter on the hydraulic component structure based on hydraulic component historical fault data and machine virtual machine feedback data.

In some embodiments of the disclosure, the hydraulic component reliability analysis system may be configured to, when determining a failure threshold range of a key parameter on a hydraulic component structure based on historical failure data and mechanical device virtual machine feedback data, analyze performance data of the key component before occurrence of a failure and performance data of a hydraulic component bench test based on the historical failure data, mine the failure key parameter, build a mathematical model, calculate failure threshold intervals and performance degradation trends of each component on the hydraulic component, and build a failure threshold decision rule of a failure mode corresponding to a specific component of the hydraulic component to form a failure threshold system of the hydraulic component.

In some embodiments of the disclosure, the reliability analysis system of the hydraulic component can also be used for building a model and an operation working condition of mechanical equipment, and the real state synchronization with the mechanical equipment is realized through a sensor, so that the intelligent monitoring and early warning of the working process of the hydraulic component are realized.

In some embodiments of the disclosure, the hydraulic component reliability analysis system is used for on-line monitoring of the performance state of the hydraulic component according to historical performance degradation trend data of the hydraulic component and a hydraulic component failure threshold index under the condition that the hydraulic component reliability analysis system is synchronous with the real state of the mechanical equipment through sensor realization and intelligent monitoring and early warning of the working process of the hydraulic component when a model and the working condition of the mechanical equipment are built, predicting the service life of the hydraulic component and the failure time of parts on the hydraulic component, guiding after-sale service, and preparing a spare part stock plan and a pre-inspection plan in advance; and measuring and recording the change value of the key structural parameter of the replaced part, and providing data for researching the performance degradation trend.

In some embodiments of the present disclosure, the hydraulic component reliability analysis system may also be used to identify a health status of a mechanical device by analyzing key performance parameters of the mechanical device in combination with failure threshold range and failure mode analysis data; and early warning is carried out on the impending faults, and solving measures are provided.

In some embodiments of the disclosure, the hydraulic component reliability analysis system can be used to construct a symptom set, a cause set, a weight set and a measure set of a fault system when analyzing key performance parameters of the mechanical equipment, combining failure threshold range and failure mode analysis data, identifying the health state of the mechanical equipment, pre-warning the impending fault, and providing a solution; comprehensively judging the working state of the mechanical equipment through various performance data transmitted by the sensors on the mechanical equipment; under the condition that equipment is about to fail, analyzing and judging the performance state and failure mode of parts of the hydraulic part according to the failure threshold system; and correspondingly judging and diagnosing the action trend and the severity of the hydraulic component and the equipment by combining the symptom set, the fault cause set, the weight set and the measure set, and formulating corresponding solving measures.

The embodiment of the disclosure establishes the reliability analysis method and the system of the hydraulic component, thereby effectively solving the problems that the failure rule is difficult to excavate and the reliability service life is difficult to evaluate, and simultaneously realizing data information sharing.

FIG. 4 is a schematic diagram of further embodiments of a hydraulic component reliability analysis system of the present disclosure. As shown in fig. 4, the hydraulic component reliability analysis system execution of the present disclosure may include a user management module, a hydraulic component field data fault management module, a hydraulic component bench test fault data management module, a comprehensive retrieval function management module, a failure case analysis module, and a system management module.

The server, the terminal computer or the intelligent mobile terminal is an operation platform of the engineering machinery failure mode analysis system, and user information, failure and failure data standardized filling and management of product maintenance service personnel, design development personnel, experimenters, system management personnel and the like are facilitated.

The user management module comprises user role creation, user role allocation, user authority management, user information and user login password modification, and is mainly aimed at after-sales service personnel, design developers and platform administrators, and different authorities are allocated according to different roles so as to ensure the safety of storing the fault information of the platform and reasonable use of analysis functions. The user role creation is used for inputting user basic information, including user name, department, telephone, mailbox and the like. User role allocation is confirmed by a platform manager, and user authority management mainly sets application authorities of all modules of the system, sets different display and application interfaces for different personnel, prevents information from being leaked, and ensures information security; user login password modification is carried out by a user, user login password reset is carried out by a platform administrator, and after the user login password is reset, the password is the initial password set by the system.

The hydraulic component field fault management module comprises fault information input, modification, deletion and submission sub-modules; the fault information input mainly comprises equipment, equipment model, parts, part model, fault parts, failure mode, operation working condition, repeated faults, fault defect type, fault symptoms, fault reasons, solutions, performance data of key parts before faults, key position structure data of the failure parts, reporting places and case confirmation person information input, wherein the failure mode mainly comprises leakage, clamping stagnation, abrasion and fatigue (damage or failure of functional parts); the fault information is modified, and the fault information can be modified and perfected after each maintenance in different maintenance stages according to the maintenance events processed for many times until the final maintenance is successful; the fault information deletion is used for misoperation, and invalid fault information is prevented from being input; the fault information is submitted for final confirmation of the fault information, and a basic examination link is arranged at the same time, so that the information is ensured to be correctly filled and input.

According to the embodiment of the disclosure, the on-site fault data management module of the hydraulic component is established, and standardized description and input of fault information (historical fault information and existing fault information) are realized, so that disorder of on-site collected data information can be avoided, standardized management of on-site fault information of the hydraulic component is realized, and the reliability analysis work of the hydraulic component can be supported.

The hydraulic component bench test fault management module comprises fault information input, modification, deletion and submission sub-modules; the fault information input mainly comprises test numbers, fault components, component models, application equipment models, fault parts, failure modes, fault symptoms, fault reasons, component disassembly, pre-fault test conditions, pre-fault performance test data, experimenters and the like; the fault information modification is used for modifying calculation or filling errors of partial data; the fault information deletion is used for deleting invalid data; the fault information submission is used for final confirmation of the performance test data before the fault and the fault information, and a basic examination link is arranged to ensure that the information is correctly filled.

According to the hydraulic component bench test fault data management system, the fault information collection function and the performance test data input function of different time periods before faults are set, working states of different stages of the multi-way valve are mastered, performance data and fault information of the hydraulic component in the bench test are continuously accumulated, a degradation rule of the hydraulic component is discovered, and performance degradation analysis work of the hydraulic component can be supported.

The comprehensive retrieval function management module comprises a failure mode retrieval, a failure phenomenon retrieval, an equipment retrieval, a part retrieval and a compound condition retrieval sub-module; wherein, failure mode searching, fault phenomenon searching, equipment searching and parts searching sub-modules realize single condition searching according to the user requirements; the composite condition retrieval sub-module is mainly used for retrieving different combination conditions of information such as failure modes, failure phenomena, equipment, parts, operation conditions, case confirmers and the like; in addition, for the same fault phenomenon, the function can be used for searching the history maintenance record, and guiding maintenance personnel to formulate a high-efficiency and reasonable maintenance scheme and maintenance strategy.

The embodiment of the disclosure establishes a fault information comprehensive retrieval module, and can efficiently and accurately position the user query requirement and improve the retrieval efficiency by setting the single piece retrieval and the compound condition retrieval functions of key indexes such as failure mode, fault phenomenon, equipment and parts.

The failure case analysis module comprises a region analysis, a time analysis, a fitting distribution inspection, a failure mode analysis and a failure threshold analysis sub-module; the regional analysis adopts a mathematical statistical analysis method to analyze product faults and regional distribution rules of part failure distribution in different areas and different working environments (high temperature, high cold, humidity and the like); the time analysis adopts a mathematical statistical analysis method to analyze the failure and failure time of the product, and simultaneously confirms the occurrence stages (early failure, random failure and loss period failure) of the failure by combining the design requirement of the product, and establishes different design optimization schemes and maintenance strategies aiming at different stages; the fitting distribution inspection submodule performs fitting inspection on the distribution form of the field fault data of the hydraulic component by using a mathematical statistics method, recommends a best fitting mode and improves the accuracy of the reliability analysis work of the hydraulic component; the failure mode analysis comprises the steps of firstly screening failure information through combination of single conditions and compound conditions, defining failure modes, completing establishment of a single failure mode analysis model and a multi-failure mode analysis model, then analyzing field failure data of a hydraulic component through a product reliability analysis method, firstly, calculating average failure-free time of the hydraulic component, predicting residual life of the hydraulic component, finding out weak links of the hydraulic component, guiding design development and maintenance strategy formulation of the hydraulic component, secondly, analyzing test failure data of a hydraulic component bench to obtain a performance degradation curve of the hydraulic component, finding out a performance degradation rule of the hydraulic component, and accordingly predicting life of the hydraulic component; and analyzing the structural data of the key positions of the hydraulic component failure parts by using a fuzzy theory to obtain a failure threshold interval, and providing a basis for judging the failure of the hydraulic component.

According to the embodiment of the disclosure, the hydraulic component failure case analysis module is established, the mathematical statistics method and the reliability analysis method can be used for carrying out failure data analysis, fitting distribution inspection and failure mode analysis from different dimensions such as time, region and the like, so that problems in product design are discovered, performance degradation trend of the hydraulic component and reliability analysis of the hydraulic component are researched, and service life assessment of the hydraulic component is completed.

The hydraulic component failure case analysis module of the embodiment of the disclosure simultaneously applies a reliability analysis method to analyze the test failure data of the multi-way valve bench, discover the performance degradation trend of the multi-way valve and complete the service life assessment of the multi-way valve; meanwhile, in the reliability analysis process, weak links on the multi-way valve are found, product optimization and maintenance strategy formulation are guided, and the value of the existing fault data is furthest mined.

The system management function comprises a system log, a data backup and use method submodule, wherein the system log mainly records login information and operation information of a system user; the data backup is used for regularly storing backup and update data by setting a fixed interval time period so as to prevent data loss; the using method submodule is used for explaining the functions of the system and the application of each module, guiding the user to carry out work, and ensuring standardized filling of fault information, reasonable analysis and mining of fault data.

In some embodiments of the present disclosure, the hydraulic component reliability analysis system of the embodiment of fig. 3 or 4 is used to perform operations that implement the hydraulic component reliability analysis method described in any of the embodiments described above (e.g., the embodiment of fig. 1 or 2).

The embodiment of the disclosure provides a reliability analysis system for a multi-way valve, which consists of a user management module, a multi-way valve field data fault management module, a multi-way valve bench test fault data management module, a comprehensive retrieval function management module, a failure case analysis module and a system management module. The embodiment of the disclosure realizes the reliability analysis and performance degradation trend analysis of the multi-way valve by using a mathematical statistics method and a reliability analysis method, and completes the service life evaluation of the multi-way valve. The system of the embodiment of the disclosure not only can be applied to a multi-way valve, but also can be applied to hydraulic parts (pumps, cartridge valves, motors, pilot handles, integrated valves and the like) related to engineering mechanical equipment, and falls within the protection scope of the invention.

The embodiment of the disclosure provides a multi-way valve reliability analysis system based on fault data, which effectively solves the problems that the failure rule is difficult to excavate and the reliability service life of the multi-way valve is difficult to evaluate, and simultaneously realizes data information sharing.

Fig. 5 is a schematic diagram of some embodiments of a computer device of the present disclosure. As shown in fig. 5, the computer device includes a memory 51 and a processor 52.

The memory 51 is used for storing instructions, the processor 52 is coupled to the memory 51, and the processor 52 is configured to implement the hydraulic component reliability analysis method according to any of the embodiments described above (e.g., the embodiment of fig. 1 or 2) based on the instructions stored by the memory.

As shown in fig. 5, the computer apparatus further comprises a communication interface 53 for information interaction with other devices. Meanwhile, the computer device further comprises a bus 54, and the processor 52, the communication interface 53 and the memory 51 perform communication with each other through the bus 54.

The memory 51 may comprise a high-speed RAM memory or may further comprise a non-volatile memory (non-volatile memory), such as at least one disk memory. The memory 51 may also be a memory array. The memory 51 may also be partitioned and the blocks may be combined into virtual volumes according to certain rules.

Further, the processor 52 may be a central processing unit CPU, or may be an application specific integrated circuit ASIC, or one or more integrated circuits configured to implement embodiments of the present disclosure.

According to another aspect of the present disclosure, there is provided a non-transitory computer readable storage medium storing computer instructions which, when executed by a processor, implement a hydraulic component reliability analysis method as described in any one of the embodiments (e.g., the embodiment of fig. 1 or 2).

It will be apparent to those skilled in the art that embodiments of the present disclosure may be provided as a method, apparatus, or computer program product. Accordingly, the present disclosure may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present disclosure may take the form of a computer program product embodied on one or more computer-usable non-transitory storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) having computer-usable program code embodied therein.

The present disclosure is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the disclosure. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

The hydraulic component reliability analysis system described above may be implemented as a general purpose processor, a Programmable Logic Controller (PLC), a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other programmable logic device, discrete gate or transistor logic devices, discrete hardware components, or any suitable combination thereof for performing the functions described herein.

Thus far, the present disclosure has been described in detail. In order to avoid obscuring the concepts of the present disclosure, some details known in the art are not described. How to implement the solutions disclosed herein will be fully apparent to those skilled in the art from the above description.

Those of ordinary skill in the art will appreciate that all or a portion of the steps implementing the above embodiments may be implemented by hardware, or may be implemented by a program indicating that the relevant hardware is implemented, where the program may be stored on a non-transitory computer readable storage medium, where the storage medium may be a read-only memory, a magnetic disk or optical disk, etc.

The description of the present disclosure has been presented for purposes of illustration and description, and is not intended to be exhaustive or limited to the disclosure in the form disclosed. Many modifications and variations will be apparent to those of ordinary skill in the art. The embodiments were chosen and described in order to best explain the principles of the disclosure and the practical application, and to enable others of ordinary skill in the art to understand the disclosure for various embodiments with various modifications as are suited to the particular use contemplated.

Claims

1. A method of analyzing reliability of a hydraulic component, comprising:

according to the hydraulic component fault information and the fitting test result, carrying out failure mode analysis;

by analyzing key performance parameters of the mechanical equipment and combining failure threshold range and failure mode analysis data, the health state of the mechanical equipment is identified, and early warning is carried out on the impending failure, so that a solution is provided;

the method for providing the solution to the fault comprises the steps of analyzing key performance parameters of the mechanical equipment, combining failure threshold range and failure mode analysis data, identifying the health state of the mechanical equipment, and carrying out early warning on the impending fault, wherein the step of providing the solution comprises the following steps:

2. The hydraulic component reliability analysis method according to claim 1, characterized by further comprising:

3. The hydraulic component reliability analysis method according to claim 1 or 2, characterized by further comprising:

4. The hydraulic component reliability analysis method according to claim 1 or 2, wherein the classifying the hydraulic component failure modes and constructing the failure case database based on the hydraulic component failure information includes:

5. The method of claim 4, wherein the carding the hydraulic component failure information by equipment category, equipment model, failed component, failed part, and failure mode, and establishing a hydraulic component failure mode network comprises:

6. The hydraulic component reliability analysis method according to claim 1 or 2, wherein the fitting verification of the distribution form of the hydraulic component field failure data includes:

7. The hydraulic component reliability analysis method according to claim 1 or 2, wherein the performing failure mode analysis based on the hydraulic component failure information and the fitting inspection result comprises:

8. The method of claim 7, wherein the performing failure mode analysis using a reliability research analysis method comprises:

9. The method of claim 2, wherein determining a failure threshold range of a key parameter of the hydraulic component structure based on the hydraulic component historical fault data and the mechanical device virtual machine feedback data comprises:

10. The method for analyzing the reliability of the hydraulic component according to claim 3, wherein the construction of the model and the working condition of the mechanical equipment, the synchronization with the real state of the mechanical equipment through the sensor, the intelligent monitoring and the early warning of the working process of the hydraulic component comprise:

11. A hydraulic component reliability analysis system, comprising:

the failure mode analysis module is used for carrying out failure mode analysis according to the hydraulic component fault information and the fitting test result;

the hydraulic component reliability analysis system is used for identifying the health state of the mechanical equipment by analyzing key performance parameters of the mechanical equipment and combining failure threshold range and failure mode analysis data; and early warning is carried out on the impending faults, and solving measures are provided.

The hydraulic component reliability analysis system is used for building a symptom set, a cause set, a weight set and a measure set of a fault system under the condition that the system analyzes key performance parameters of mechanical equipment, combines failure threshold range and failure mode analysis data, identifies the health state of the mechanical equipment, gives early warning to an impending fault and provides a solving measure; comprehensively judging the working state of the mechanical equipment through various performance data transmitted by the sensors on the mechanical equipment; under the condition that equipment is about to fail, analyzing and judging the performance state and failure mode of parts of the hydraulic part according to the failure threshold system; and correspondingly judging and diagnosing the action trend and the severity of the hydraulic component and the equipment by combining the symptom set, the fault cause set, the weight set and the measure set, and formulating corresponding solving measures.

12. The hydraulic component reliability analysis system of claim 11, wherein the hydraulic component reliability analysis system is configured to perform operations to implement the hydraulic component reliability analysis method of any one of claims 2-10.

13. A computer apparatus, comprising:

a memory for storing instructions;

a processor for executing the instructions, causing the computer device to perform operations implementing the hydraulic component reliability analysis method of any one of claims 1-10.

14. A non-transitory computer readable storage medium storing computer instructions which, when executed by a processor, implement the hydraulic component reliability analysis method of any one of claims 1-10.