CN109635001A - Product reliability method for improving and system based on the analysis of equipment failure data - Google Patents
Product reliability method for improving and system based on the analysis of equipment failure data Download PDFInfo
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Abstract
The invention discloses a kind of product reliability method for improving based on the analysis of equipment failure data, comprising the following steps: S1, the basic information and fault message for acquiring nuclear power generating equipment；S2, according to basic information and fault message, carry out failure mode analysis (FMA), determine the fault mode and corresponding inoperative component of each type nuclear power generating equipment；S3, according to basic information and fault message, carry out that equipment dependability calculates and part reliability calculates；S4, it generates product reliability with the data from Experience Feedback system, progress common problem analysis according to failure mode analysis (FMA) result and promotes report.The present invention is using considered repealed data as support, can more Systematic Analysis go out problem and improvement direction existing for product, the mode improved than existing support Experience Feedback, it is more accurate, it can be used as the improved basis of device manufacturer's product quality, while foundation can also be provided for lectotype selection and power plant cost budget.
Description
Technical field
The present invention relates to a kind of product reliability method for improving and system based on the analysis of equipment failure data.
Background technique
It is in-service/to be continuously increased building unit with the fast development of nuclear power.However, nuclear power generating equipment design, manufactured
Cheng Zhong, manufacturer are usually designed it according to buying demand of technical standard, but do not refer to and setting in buying technical specification
The standby function on unit, environment, failure influence, equipment Experience Feedback, leads in design process that there are blind spots, therefore is using
Design/manufacturing defect is also gradually exposed in the process.
For equipment fault defect, nuclear power station passes through preventive maintaining outline management at present or repairs after finding the problem
Processing is to solve.But in actual use, from product structure equipment, unreasonable, manufacturing quality lacks many failures
It falls into, can not be managed by preventative maintenance.And same producer or same type product fault mode are essentially identical, because
The position that power plant uses is different, and power station is not essentially by manually identification or major event Experience Feedback being gone to go to manage at present
The analysis method of system property can not formulate targeted precautionary measures as guide, and failure high frequency is caused to be retransmitted.
For manufacturer, because of the problem of can not grasping product in use, it is not known that the direction of product improvement, in turn
Product inherent reliability cannot effectively be promoted.
Summary of the invention
The purpose of the present invention is to provide a kind of product reliability method for improving based on the analysis of equipment failure data and it is
System.
The technical solution used to solve the technical problems of the present invention is that: a kind of production based on the analysis of equipment failure data is provided
Product reliability method for improving, comprising the following steps:
S1, the basic information and fault message for acquiring nuclear power generating equipment；
S2, according to the basic information and the fault message, carry out failure mode analysis (FMA), determine that each type nuclear power is set
Standby fault mode and corresponding inoperative component；
S3, according to the basic information and the fault message, carry out that equipment dependability calculates and part reliability calculates；
S4, according to the failure mode analysis (FMA) result and the data from Experience Feedback system, carry out common problem analysis,
It generates product reliability and promotes report.
In the product reliability method for improving provided by the invention based on the analysis of equipment failure data, the step S1 packet
It includes:
S11, the basic information is acquired by query facility Land account management system, the basic information includes equipment type
Number, drawing number and functional location；
S12, the fault message is acquired by inquiry work process management system, the fault message includes failure shape
State, out-of-service time, processing time, completion record.
In the product reliability method for improving provided by the invention based on the analysis of equipment failure data, the step S3 packet
It includes:
S31, according to the basic information and the fault message, calculate the annual crash rate of each type nuclear power generating equipment
And average time between failures；
S32, according to the basic information and the fault message, calculate inoperative component annual crash rate and it is average therefore
Hinder interval time.
In the product reliability method for improving provided by the invention based on the analysis of equipment failure data, the step S31
Include:
The annual failure quantity N1 of S311, each type nuclear power generating equipment of statistics, calculate the annual crash rate of equipment, draw
Annual crash rate tendency chart；
S312, the average time between failures for calculating equipment
S313, the reliability according to the average time between failures assessment equipment of equipment.
In the product reliability method for improving provided by the invention based on the analysis of equipment failure data, the step S32
Include:
S321, the annual failure quantity N2 for counting inoperative component, calculate the annual crash rate of inoperative component, and it is flat to draw year
Equal crash rate tendency chart；
S322, the average time between failures for calculating inoperative component
S323, the average time between failures according to inoperative component formulate preventative maintenance strategy
Correspondingly, the present invention also provides a kind of product reliability lifting systems based on the analysis of equipment failure data, comprising:
Data acquisition module, for acquiring the basic information and fault message of nuclear power generating equipment；
Failure mode analysis (FMA) module, for carrying out failure mode analysis (FMA) according to the basic information and the fault message,
Determine the fault mode and corresponding inoperative component of each type nuclear power generating equipment；
Calculation of Reliability module, for carrying out equipment dependability calculating according to the basic information and the fault message
It is calculated with part reliability；
Report generation module, for according to the failure mode analysis (FMA) result and the data from Experience Feedback system, into
The analysis of row common problem generates product reliability and promotes report.
In the product reliability lifting system provided by the invention based on the analysis of equipment failure data, the data acquisition
Module includes:
Basic information collection unit, it is described for acquiring the basic information by query facility Land account management system
Basic information includes device model, drawing number and functional location；
Fault information acquisition unit, it is described for acquiring the fault message by inquiry work process management system
Fault message includes failure state, out-of-service time, processing time, completion record.
In the product reliability lifting system provided by the invention based on the analysis of equipment failure data, the reliability meter
Calculating module includes:
Equipment dependability computing unit, for calculating each types of nuclear according to the basic information and the fault message
The annual crash rate and average time between failures of electric equipment；
Part reliability computing unit, for calculating inoperative component according to the basic information and the fault message
Annual crash rate and average time between failures.
In the product reliability lifting system provided by the invention based on the analysis of equipment failure data, the equipment is reliable
Property computing unit includes:
Equipment annual crash rate computing unit is counted for counting the annual failure quantity N1 of each type nuclear power generating equipment
The annual crash rate of equipment is calculated, annual crash rate tendency chart is drawn；
Equipment average time between failures computing unit, for calculating the average time between failures of equipment
Equipment dependability assessment unit, for the reliability according to the average time between failures assessment equipment of equipment.
In the product reliability lifting system provided by the invention based on the analysis of equipment failure data, the component is reliable
Property computing unit includes:
Component annual crash rate computing unit calculates failure portion for counting the annual failure quantity N2 of inoperative component
The annual crash rate of part draws annual crash rate tendency chart；
Component average time between failures computing unit, for calculating the average time between failures of inoperative component
Part reliability assessment unit formulates preventative maintenance for the average time between failures according to inoperative component
Strategy.
The product reliability method for improving analyzed based on equipment failure data of the invention and system are had below beneficial to effect
Fruit: it is provided by the invention based on equipment failure data analysis product reliability method for improving, using considered repealed data as according to
Support, by failure mode analysis (FMA), determines the chife failure models and corresponding inoperative component of equipment；Pass through equipment dependability meter
It calculates, rendering apparatus annual failure tendency chart, and the reliability of assessment equipment；It is calculated by part reliability, to crash rate height
Component formulate preventative maintenance strategy；Report is promoted by Commonness Analysis and reliability, more Systematic Analysis goes out product presence
The problem of and improvement direction.It is more accurate compared to the mode that existing support Experience Feedback improves, it can be used as equipment
The improved basis of manufacturer's product quality, while foundation can also be provided for lectotype selection and power plant cost budget.
Detailed description of the invention
Fig. 1 is the stream for the product reliability method for improving based on the analysis of equipment failure data that one embodiment of the invention provides
Cheng Tu；
Fig. 2 show certain valve invalidation type map；
Fig. 3 show certain valve annual crash rate tendency chart；
Fig. 4 is the original for the product reliability lifting system based on the analysis of equipment failure data that one embodiment of the invention provides
Reason figure.
Specific embodiment
In order to make those skilled in the art more fully understand the present invention program, below in conjunction with the embodiment of the present invention
In attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is
The embodiment of a part of the invention, instead of all the embodiments.Based on the embodiments of the present invention, ordinary skill people
The model that the present invention protects all should belong in member's every other embodiment obtained without making creative work
It encloses.
Description and claims of this specification and term " first ", " second ", " third " and " in above-mentioned attached drawing
Four " etc. are not use to describe a particular order for distinguishing different objects.In addition, term " includes " and " having " and it
Any deformation, it is intended that cover and non-exclusive include.Such as it contains the process, method of a series of steps or units, be
System, product or equipment are not limited to listed step or unit, but optionally further comprising the step of not listing or list
Member, or optionally further comprising other step or units intrinsic for these process, methods, product or equipment.
Below in conjunction with drawings and examples the present invention will be further explained explanation.
Fig. 1 is the stream for the product reliability method for improving based on the analysis of equipment failure data that one embodiment of the invention provides
Cheng Tu；As shown in Figure 1, the product reliability method for improving provided by the invention based on the analysis of equipment failure data includes following step
It is rapid:
S1, the basic information and fault message for acquiring nuclear power generating equipment；
Specifically, in an embodiment of the present invention, therefore, to be analyzed because different manufacturers design and manufacturing process are different
Nuclear power generating equipment must be the equipment of same manufacturer's production, for example, the hand stop valve of certain factory manufacture.Acquisition facility information it
Before, it is necessary first to clear analyst coverage confirms that equipment uses position (functional location) in power plant, analytical equipment structure and can
The fault mode that can occur.
Further, in an embodiment of the present invention, data acquisition mainly includes two parts: Equipment Foundations information collection
And fault information acquisition.Wherein, Equipment Foundations information includes device model, drawing number and functional location, mainly passes through query station
Account management system obtains；Fault message includes failure state, out-of-service time, processing time, completion record, mainly passes through inquiry
Work process management system obtains.
Specifically, by taking the valve of certain producer as an example, since same producer may provide multiple types valve, believed by basis
Breath acquisition, therefore the functional location of valve model and power station identification is corresponded, it is calculated for subsequent crash rate, failure analysis is done
Prepare.Fault information acquisition mainly goes out all historical records according to valve function location lookup in course of work management system,
Data volume mainly includes failure state (failure-description), out-of-service time, processing time, completion record.
Further, in an embodiment of the present invention, because the course of work management system record be all in functional location
The failure and job information occurred, and it is due to set state needs, as system suppresses dismounting, behaviour during overhaul that part, which works,
Make, cooperation sex work, identify again etc. caused by logging, non-equipment failure itself generates, and therefore, it is necessary to pick these data
It removes.Further, since the same time can generate repetition record due to staff's difference, to same failure, to avoid record from repeating
The accuracy for influencing data after only counting failure generation, does pretreated record by maintenance when handling historical data.
Therefore, after data acquisition, further include the steps that data prediction.
S2, according to the basic information and the fault message, carry out failure mode analysis (FMA), determine that each type nuclear power is set
Standby fault mode and corresponding inoperative component.
Specifically, in this step, in data equipment failure state and processing completion record information analyze, arrange
Write fault mode.For the ease of subsequent analysis inoperative component, it is proposed that fault mode column are written to component-level, by taking certain factory's valve as an example,
Acquisition data are analysed item by item, column write fault mode and inoperative component is as shown in table 1 below:
1 failure mode analysis (FMA) of table
In routine use, valve common failure pattern includes:
1, handwheel failure: handwheel locking nut loosening, pin key fracture causes idle running/stripped thread, transmission mechanism damage, every
From locking device damage, gear-box turbine and worm insufficient lubrication etc..
2, electrical header failure: output torque drift, wiring loosening, grease aging etc..
3, pneumatic actuator failure: lead to leakage, spring breakage failure, locator/electricity for air circuit vulnerable part aging
Magnet valve damage etc..
4, interior leakage: sealing element aging, flap/sealing surface of seat damage closes not in place, foreign matter bite etc..
5, it leaks outside: sealing element aging breakage, Tightening moment deficiency, sealing surface damage, water hammer etc..
6, bite: insufficient lubrication, valve rod bending, foreign matter bite, corrosion etc..
7, corrode: bolt, valve body corrosion etc..
8, limit instruction failure: limit switch damage/loosening, stroke indicate incorrect etc..
9, other: such as design and manufacture defect, Experience Feedback generaI investigation.
1 data of table are counted, obtain the dominant failure type of each model device operation so far, and draw failure type
Figure.For example, being illustrated in figure 2 the internal fault mode distribution in 10 years of certain factory's valve, major failure type is the event of handwheel executing agency
Barrier, bite, interior leakage, leakage.Completion record is analyzed, valve frequently occurs handwheel idle running, is hand through analysis main cause
There are two types of the reason of wheel causes with the fracture of valve rod connecting pin, and pin is broken is possible: 1, closing valve force is too big, is permitted more than pin
Use stress；2, pin designs defect or the strength of materials are inadequate.Subsequent by Mechanics Calculation or to be verified, it is basic to find out
Reason, to improve.
The main purpose for carrying out failure type analysis is to find out the chife failure models of all types of equipment, inoperative component, with
Just targetedly measure is formulated, the probability of this fault mode appearance is improved or reduce.
S3, according to the basic information and the fault message, carry out that equipment dependability calculates and part reliability calculates.
Specifically, in this step, comprising:
S31, according to the basic information and the fault message, calculate the annual crash rate of each type nuclear power generating equipment
And average time between failures；
S32, according to the basic information and the fault message, calculate inoperative component annual crash rate and it is average therefore
Hinder interval time.
Further, the step S31 includes:
The annual failure quantity N1 of S311, each type nuclear power generating equipment of statistics, calculate the annual crash rate of equipment, draw
Annual crash rate tendency chart；
S312, the average time between failures for calculating equipment
S313, the reliability according to the average time between failures assessment equipment of equipment.
Further, by taking certain the 3 seed type equipment of producer counted in table 2 fails quantity every year as an example, to illustrate that equipment can
The basic process calculated by property:
The first step counts each model device and fails every year quantity N1, calculate all types of equipment annuals according to acquisition data
Crash rate λ.Annual crash rate λ=failure quantity N/ valve quantity X/ running time T.
The failure quantity of table 2
Then, the highest device type of crash rate λ is found out, the high reason of its crash rate, dominant failure component and place are analyzed
Reason scheme.As shown in Table 2, the valve annual crash rate highest of model three has reached 25.5%, searches three failure type of model
Distribution, finds out its chife failure models.Then, as unit of year, the λ-T tendency chart of each model valve is drawn, it can be with from Fig. 3
It was found that the valve of model one, two, since putting equipment in service in 2010, the first three years are in running-in period, certain rising is presented in crash rate
Trend, after 3 years, crash rate declines steadily, and equipment tends to well, and model three then put into operation the 5th year beginning crash rate by
Step rises, it is therefore desirable to pay close attention to model three, analyze the reason of crash rate rises, formulate corrective measure.
By annual crash rate tendency chart, it can compare and get information about equipment dependability and change over time trend,
Emphasis is grabbed to improve.It can be used for the evaluation of producer's reliability simultaneously, calculate full longevity period cost, provided for purchasing department
Input.Wherein, the full longevity period cost=purchase cost of equipment+(manpower+spare part+unit loses indirect cost) * mean failure rate λ *
Valve quantity X* time T.
Second step according to the value of MTBF, carries out the reliability of equipment by calculating average time between failures (MTBF)
Classification, to measure each plant equipment reliability.For example, the average time between failures MTBF of the valve of model three is about
3.9 years, and the MTBF of same category of device is about 10 years, therefore the type valve reliability is lower, by the reliable of the valve of model three
Property is set as low.It should be noted that equipment dependability can be divided into multiclass according to actual needs, the present invention does not limit herein
It is fixed.
Further, the step S32 includes:
S321, the annual failure quantity N2 for counting inoperative component, calculate the annual crash rate of inoperative component, and it is flat to draw year
Equal crash rate tendency chart；
S322, the average time between failures for calculating inoperative component
S323, the average time between failures according to inoperative component formulate preventative maintenance strategy.
Specifically, part reliability data, which calculate, is mainly used for vulnerable part and the high component of crash rate, passes through early period
Dominant failure component, calculating unit mean failure rate λ 2 and component MTBF2, calculation method and equipment are found out in failure mode analysis (FMA)
Class failure analysis is consistent.For ageing component, after MTBF2 is calculated, can be used as power station formulate preventative maintenance strategy according to
According to.
S4, according to the failure mode analysis (FMA) result and the data from Experience Feedback system, carry out common problem analysis,
It generates product reliability and promotes report.
Specifically, during failure analysis early period, for the failure type repeatedly occurred, it is special to be included in common technology problem
, data are analyzed in conjunction with the existing basic reason of major event Experience Feedback system, failure cause is found, changes jointly with producer
Into reduction equipment failure rate.
Further, the common common problem of nuclear power plant equipment specifically includes that at present
1, it manufactures, examine technique unqualified.If valve body castability is poor, examination link is not rigorous, lacks quality control.
2, components selection is unreasonable.Conditions for equipment use is not accounted for, the damage of components burn into, cavitation are caused.
3, unreasonable structural design causes components random faule rate higher.
4, important component is without check criteria or standard error, such as fit clearance requires, Tightening moment is less than normal.
5, design selection is unsatisfactory for system requirements.
After carrying out common problem analysis, induction and conclusion is carried out to above step data analysis results and generates product reliability
Report is promoted, to provide direction for product improvement and maintenance policy formulation, product reliability promotes report and includes following several portions
Point:
1. Brief Introduction on Equipment introduces device model and structure type in analyst coverage.
2. chife failure models introduce each model equipment failure mode analysis based on analysis data.
3. crash rate λ and average time between failures (MTBF), failure existing for the high equipment of induction and conclusion crash rate is asked
Topic.
4. mean failure rate tendency chart λ-T, analysis crash rate and the situation that changes with time provide for maintenance program formulation
Foundation.
5. the higher components of crash rate are summarized in components failure analysis.
6. the direction summarized common problem existing for product and need to be promoted.
Product reliability method for improving provided by the invention based on the analysis of equipment failure data, with considered repealed data work
To rely on, by failure mode analysis (FMA), the chife failure models and corresponding inoperative component of equipment are determined；Pass through equipment dependability
It calculates, rendering apparatus annual failure tendency chart, and the reliability of assessment equipment；It is calculated by part reliability, to crash rate
High component formulates preventative maintenance strategy；Report is promoted by Commonness Analysis and reliability, more Systematic Analysis goes out product and deposits
The problem of and improvement direction.It is more accurate compared to the mode that existing support Experience Feedback improves, it can be used as and set
The standby improved basis of manufacturer's product quality, while foundation can also be provided for lectotype selection and power plant cost budget.
Fig. 4 is the principle of the product reliability lifting system provided in an embodiment of the present invention based on the analysis of equipment failure data
Figure；As shown in figure 4, the product reliability lifting system of the invention based on the analysis of equipment failure data includes:
Data acquisition module 410, for acquiring the basic information and fault message of nuclear power generating equipment；
Failure mode analysis (FMA) module 420, for carrying out fault mode point according to the basic information and the fault message
Analysis, determines the fault mode and corresponding inoperative component of each type nuclear power generating equipment；
Calculation of Reliability module 430, for carrying out equipment dependability meter according to the basic information and the fault message
It calculates and part reliability calculates；
Report generation module 440, for according to the failure mode analysis (FMA) result and the data from Experience Feedback system,
Common problem analysis is carried out, product reliability is generated and promotes report.
Specifically, the data acquisition module includes:
Basic information collection unit, it is described for acquiring the basic information by query facility Land account management system
Basic information includes device model, drawing number and functional location；
Fault information acquisition unit, it is described for acquiring the fault message by inquiry work process management system
Fault message includes failure state, out-of-service time, processing time, completion record.
Specifically, the Calculation of Reliability module includes:
Equipment dependability computing unit, for calculating each types of nuclear according to the basic information and the fault message
The annual crash rate and average time between failures of electric equipment；
Part reliability computing unit, for calculating inoperative component according to the basic information and the fault message
Annual crash rate and average time between failures.
Specifically, the equipment dependability computing unit includes:
Equipment annual crash rate computing unit is counted for counting the annual failure quantity N1 of each type nuclear power generating equipment
The annual crash rate of equipment is calculated, annual crash rate tendency chart is drawn；
Equipment average time between failures computing unit, for calculating the average time between failures of equipment
Equipment dependability assessment unit, for the reliability according to the average time between failures assessment equipment of equipment.
Specifically, the part reliability computing unit includes:
Component annual crash rate computing unit calculates failure portion for counting the annual failure quantity N2 of inoperative component
The annual crash rate of part draws annual crash rate tendency chart；
Component average time between failures computing unit, for calculating the average time between failures of inoperative component
Part reliability assessment unit formulates preventative maintenance for the average time between failures according to inoperative component
Strategy.
About the system in above-described embodiment, in practical application, can according to need and by above-mentioned function distribution by difference
Functional module, i.e., the internal structure of equipment is divided into different functional modules, to complete whole described above or portion
Divide function.In addition, system and method embodiment provided by the above embodiment belongs to same design, the specific implementation process side of being detailed in
The description of method embodiment, which is not described herein again.
Those of ordinary skill in the art will appreciate that realizing that all or part of the steps of above-described embodiment can pass through hardware
It completes, relevant hardware can also be instructed to complete by program, the program can store in a kind of computer-readable
In storage medium.The handoff functionality of control or realization mentioned above is realized by controller, and controller can be
Central processing unit (Central Processing Unit, CPU), can also be other general processors, Digital Signal Processing
Device (Digital Signal Processor, DSP), specific integrated circuit (Application Specific Integrated
Circuit, ASIC), ready-made programmable gate array (Field-Programmable Gate Array, FPGA) or other can
Programmed logic device, discrete gate or transistor logic, discrete hardware components etc..General processor can be microprocessor
Or the processor is also possible to any conventional processor etc..Memory mentioned above can be the storage of terminal built-in
Equipment, such as hard disk or memory.Present system further comprises memory, and the external storage that memory is also possible to system is set
It is standby, plug-in type hard disk, intelligent memory card (Smart Media Card, SMC), secure digital (Secure Digital, SD) card,
Flash card (Flash Card) etc..Memory can also both include the internal storage unit of system, also include External memory equipment,
For storing computer program and required other programs and information.Memory can be also used for temporarily storing and export
Or the information that will be exported.
The foregoing is merely presently preferred embodiments of the present invention, is not intended to limit the invention, it is all in spirit of the invention and
Within principle, any modification, equivalent replacement, improvement and so on be should all be included in the protection scope of the present invention.
Claims (10)
1. a kind of product reliability method for improving based on the analysis of equipment failure data, which comprises the following steps:
S1, the basic information and fault message for acquiring nuclear power generating equipment；
S2, according to the basic information and the fault message, carry out failure mode analysis (FMA), determine each type nuclear power generating equipment
Fault mode and corresponding inoperative component；
S3, according to the basic information and the fault message, carry out that equipment dependability calculates and part reliability calculates；
S4, according to the failure mode analysis (FMA) result and the data from Experience Feedback system, carry out common problem analysis, generate
Product reliability promotes report.
2. the product reliability method for improving according to claim 1 based on the analysis of equipment failure data, which is characterized in that
The step S1 includes:
S11, acquire the basic information by query facility Land account management system, the basic information include device model,
Drawing number and functional location；
S12, the fault message is acquired by inquiry work process management system, the fault message include failure state,
Out-of-service time, processing time, completion record.
3. the product reliability method for improving according to claim 2 based on the analysis of equipment failure data, which is characterized in that
The step S3 includes:
S31, according to the basic information and the fault message, calculate the annual crash rate peace of each type nuclear power generating equipment
Equal time between failures；
S32, according to the basic information and the fault message, calculate between the annual crash rate of inoperative component and mean failure rate
Every the time.
4. the product reliability method for improving according to claim 3 based on the analysis of equipment failure data, which is characterized in that
The step S31 includes:
The annual failure quantity N1 of S311, each type nuclear power generating equipment of statistics, calculate the annual crash rate of equipment, and it is flat to draw year
Equal crash rate tendency chart；
S312, the average time between failures for calculating equipment
S313, the reliability according to the average time between failures assessment equipment of equipment.
5. the product reliability method for improving according to claim 3 based on the analysis of equipment failure data, which is characterized in that
The step S32 includes:
S321, the annual failure quantity N2 for counting inoperative component, calculate the annual crash rate of inoperative component, draw annual and lose
Efficiency trend figure；
S322, the average time between failures for calculating inoperative component
S323, the average time between failures according to inoperative component formulate preventative maintenance strategy.
6. a kind of product reliability lifting system based on the analysis of equipment failure data characterized by comprising
Data acquisition module, for acquiring the basic information and fault message of nuclear power generating equipment；
Failure mode analysis (FMA) module is determined for carrying out failure mode analysis (FMA) according to the basic information and the fault message
The fault mode and corresponding inoperative component of each type nuclear power generating equipment；
Calculation of Reliability module, for carrying out equipment dependability calculating and portion according to the basic information and the fault message
Part Calculation of Reliability；
Report generation module, for being total to according to the failure mode analysis (FMA) result and the data from Experience Feedback system
Property case study, generate product reliability promoted report.
7. the product reliability lifting system according to claim 6 based on the analysis of equipment failure data, which is characterized in that
The data acquisition module includes:
Basic information collection unit, for acquiring the basic information, the basis by query facility Land account management system
Information includes device model, drawing number and functional location；
Fault information acquisition unit, for acquiring the fault message, the failure by inquiry work process management system
Information includes failure state, out-of-service time, processing time, completion record.
8. the product reliability lifting system according to claim 7 based on the analysis of equipment failure data, which is characterized in that
The Calculation of Reliability module includes:
Equipment dependability computing unit, for calculating each type nuclear power and setting according to the basic information and the fault message
Standby annual crash rate and average time between failures；
Part reliability computing unit, for according to the basic information and the fault message, the year for calculating inoperative component to be flat
Equal crash rate and average time between failures.
9. the product reliability lifting system according to claim 8 based on the analysis of equipment failure data, which is characterized in that
The equipment dependability computing unit includes:
Equipment annual crash rate computing unit, for counting the annual failure quantity N1 of each type nuclear power generating equipment, calculating is set
Standby annual crash rate draws annual crash rate tendency chart；
Equipment average time between failures computing unit, for calculating the average time between failures of equipment
Equipment dependability assessment unit, for the reliability according to the average time between failures assessment equipment of equipment.
10. the product reliability lifting system according to claim 8 based on the analysis of equipment failure data, feature exist
In the part reliability computing unit includes:
Component annual crash rate computing unit calculates inoperative component for counting the annual failure quantity N2 of inoperative component
Annual crash rate draws annual crash rate tendency chart；
Component average time between failures computing unit, for calculating the average time between failures of inoperative component
Part reliability assessment unit formulates preventative maintenance strategy for the average time between failures according to inoperative component.
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