CN101393543A - Failure analysis and diagnosis method and system - Google Patents
Failure analysis and diagnosis method and system Download PDFInfo
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- CN101393543A CN101393543A CNA2007101528255A CN200710152825A CN101393543A CN 101393543 A CN101393543 A CN 101393543A CN A2007101528255 A CNA2007101528255 A CN A2007101528255A CN 200710152825 A CN200710152825 A CN 200710152825A CN 101393543 A CN101393543 A CN 101393543A
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- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B23/00—Testing or monitoring of control systems or parts thereof
- G05B23/02—Electric testing or monitoring
- G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
- G05B23/0259—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterized by the response to fault detection
- G05B23/0275—Fault isolation and identification, e.g. classify fault; estimate cause or root of failure
- G05B23/0281—Quantitative, e.g. mathematical distance; Clustering; Neural networks; Statistical analysis
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- G—PHYSICS
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- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B23/00—Testing or monitoring of control systems or parts thereof
- G05B23/02—Electric testing or monitoring
- G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
- G05B23/0218—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults
- G05B23/0224—Process history based detection method, e.g. whereby history implies the availability of large amounts of data
- G05B23/024—Quantitative history assessment, e.g. mathematical relationships between available data; Functions therefor; Principal component analysis [PCA]; Partial least square [PLS]; Statistical classifiers, e.g. Bayesian networks, linear regression or correlation analysis; Neural networks
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Abstract
The invention discloses a method for analyzing and diagnosing failure. The method comprises the following steps: acquiring failure diagnosing information and data information of the adopted analysis method, wherein the failure diagnosing information comprises a diagnosing object and a failure reason; providing the failure diagnosing information for a maintenance terminal, and receiving feedback information determining whether the failure diagnosing information is correct from the maintenance terminal; and according to the feedback information, counting and storing the data information comprising the analysis method and the failure diagnosing information. In addition, the invention also discloses a system for analyzing and diagnosing the failure. The technical proposal can improve the efficiency of analyzing and diagnosing the failure.
Description
Technical field
The present invention relates to the maintenance of machine field, relate in particular to the method and system of a kind of fault analysis and diagnosis.
Background technology
In order to optimize mechanical property, to reduce the stop time that barrier for some reason causes, need constantly safeguard to plant equipment, various data are carried out analytic statistics etc.Comprehensively understand for current plant equipment being had accurately, the plant equipment analytic process generally includes: data and the relevant priori of understanding each state aspect of plant equipment; From the several data source, select one group of related data of institute care aspect; Utilize suitable method that selected data are analyzed; Obtain the information of plant equipment each side according to the data analysis result.
Generally speaking, in order to obtain the relevant information of each side such as plant equipment each side physical property, combination property, need constantly repeat above-mentioned plant equipment analytic process, if a plurality of people analyze this plant equipment simultaneously, then everyone may pay close attention to different aspects, and utilize specific method that performance evaluation is carried out in the aspect of being paid close attention to, reach a conclusion according to data analysis result and priori.
At present, the technology of machine performance test, data pre-service and storage is very ripe, but fault analysis and diagnosis remain a urgent problem.Most of behaviors in analysis and diagnostic procedure can only rely on individual's priori and experience accumulation, even if some diagnostic system provides some automatic diagnostic function modules based on database that sets in advance or model, but when mechanical fault shows by various aspects, often not enough based on the automatic diagnostic function module that specific failure problems and manifestation mode are set, make and can't be diagnosed when plant equipment breaks down.In addition, some diagnostic system provides a platform that carries out video conference, real-time discussion for the user, the multi-user can diagnose mechanical fault, and can exchange separately suggestion and diagnostic result, but because this process mostly is the world-of-mouth communication process, therefore intermediate result of discussing and relevant information can't be stored also as analyzing in the future and the reference of diagnosing.
As seen, in the prior art, neither one effective method and system realize faults analysis and diagnosis, for example the current state of tracking data analysis and mechanical fault diagnosis, preserve relevant intermediate result, conclude diagnosis and collect the maintainer to the feedback of diagnosis etc.; The also platform at the fault analysis and the diagnosis of same plant equipment of neither one many people truly user customizable that can participate in, provide support with the experience of collecting and preserving accumulation and to the diagnosis in future, therefore make that the efficient of fault analysis and diagnosis is lower.
Summary of the invention
One aspect of the present invention provides the method for a kind of fault analysis and diagnosis, and the system of a kind of fault analysis and diagnosis is provided on the other hand, so that collect and preserve the experience of accumulation, thereby improves the efficient of fault analysis later on and diagnostic procedure.
The method of fault analysis provided by the invention and diagnosis comprises:
Obtain the data message that comprises the failure diagnosis information and the analytical approach that adopts; Wherein, described failure diagnosis information comprises diagnosis object and failure cause;
Described failure diagnosis information is offered maintenance terminal, receive from maintenance terminal, to the feedback information of the correctness of failure diagnosis information;
According to described feedback information the data message that comprises analytical approach and failure diagnosis information is added up storage.
Preferably, described obtaining before the data message that comprises the failure diagnosis information and the analytical approach that adopts further comprises: receive the data analysis request at the particular analysis method of user's input; Finish data analysis according to described data analysis request, the data analysis result who obtains is offered the user;
Described failure diagnosis information is: the failure diagnosis information that draws according to described data analysis result.
Preferably, before the data analysis request at the particular analysis method of described reception user input, further comprise: the information that will finish each data analysis tool of different pieces of information analytic function offers the user;
The data analysis request at the particular analysis method of each user of described reception input is: receive the data analysis request that the user imports after at particular analysis method selected data analysis tool;
Describedly finish data analysis according to the data analysis request and be:, finish data analysis by corresponding data analysis tool according to described data analysis request.
Wherein, the described information that will finish each data analysis tool of different pieces of information analytic function offers the user: function, input and output information to each described data analysis tool are described, generate the self-described file of each data analysis tool, according to described self-described file, generate the graphic interface that comprises described data analysis tool information and present to the user;
The data analysis request at the particular analysis method of described reception user input is: receive function, input and the output information of user according to described each data analysis tool, comprise the data analysis tool required input in interior data analysis request at what import behind the selected data analysis tool of particular analysis method.
Preferably, describedly draw before the failure diagnosis information according to the data analysis result, further comprise: the failure diagnosis information tabulation that comprises diagnosis object and corresponding failure cause thereof that will set in advance offers the user;
The described failure diagnosis information that draws according to the data analysis result is: the user selects corresponding failure diagnosis information from the failure diagnosis information tabulation of the failure cause of described diagnosis object and correspondence thereof, described failure diagnosis information comprises: the possible and/or eliminable failure cause of diagnosis object and this diagnosis object.
This method further comprises: the corresponding relation of storing data analysis result and failure diagnosis information in advance;
The described failure diagnosis information that draws according to the data analysis result is: according to the corresponding relation of described data analysis result and described data analysis result and failure diagnosis information, the failure diagnosis information that obtains.
Preferably, this method further comprises: after receiving the user's data analysis request, create the interim form of user at each plant equipment, follow the trail of and in described interim form each user of record each plant equipment is being carried out data message in fault analysis and the diagnostic procedure.
Preferably, this method further comprises: according to the interim form of described user, the data message that comprises diagnosis object and intermediate data in fault analysis and the diagnostic procedure is offered the user, receive the data analysis request that the user imports on the basis of described data message, and return and carry out the described step of finishing data analysis according to the data analysis request.
Wherein, describedly failure diagnosis information is offered maintenance terminal be: according to the interim form of described user, failure diagnosis information is concluded, generate and comprise failure diagnosis information and feedback information and fill the form of safeguarding of field and offer maintenance terminal;
Described reception from maintenance terminal, to the feedback information of the correctness of failure diagnosis information be: receive maintenance terminal described feedback information fill import in the field, to the feedback information of the correctness of failure diagnosis information.
Wherein, described according to feedback information to the data message that comprises analytical approach and failure diagnosis information add up the storage comprise:
A, judge whether there be the feedback information correct in the described feedback information to the diagnosis of failure diagnosis information, if exist, then, generate the case form of the idagnostic logout that comprises analytical approach, failure diagnosis information and feedback information at least according to the interim form of described user;
B, to every idagnostic logout in the described case form, judge whether to exist the analytical approach identical and the knowledge record of failure diagnosis information with described idagnostic logout, if exist, execution in step C then; Otherwise, execution in step D;
C, judge that whether the feedback information of described idagnostic logout is the correct feedback information of diagnosis, if, and finish the treatment scheme of this idagnostic logout then for the diagnosis weights of described knowledge record add one; Otherwise,, and finish the treatment scheme of this idagnostic logout for the diagnosis weights of described knowledge record subtract one;
D, judge that whether the feedback information of described idagnostic logout is the correct feedback information of diagnosis, if then described idagnostic logout is stored as knowledge record; Otherwise, abandon this idagnostic logout.
Preferably, this method further comprises: extract the data message that comprises analytical approach and failure diagnosis information at selected diagnosis object, described data message is offered the user.
Wherein, described extraction at the data message that comprises analytical approach and failure diagnosis information of selected diagnosis object is: extract the highest data message that comprises analytical approach and failure diagnosis information of diagnosis weights at selected diagnosis object;
Perhaps be:, extract the data message that comprises analytical approach and failure diagnosis information successively according to diagnosis weights order from high to low at selected diagnosis object;
Perhaps be:, extract the data message that comprises analytical approach and failure diagnosis information successively according to diagnosis weights order from low to high at selected diagnosis object.
Wherein, the data analysis request at the particular analysis method of described reception user input is: receive the data analysis request at particular analysis method of user according to the data message input that comprises analytical approach and failure diagnosis information of described extraction.
The system of fault analysis provided by the invention and diagnosis comprises:
The user profile interactive module is used for carrying out information interaction between user and fault analysis and diagnostic module;
Fault analysis and diagnostic module are used to obtain the data message that comprises the failure diagnosis information and the analytical approach that adopts, and wherein, failure diagnosis information comprises diagnosis object and failure cause; Described failure diagnosis information is offered maintenance terminal by the user profile interactive module, receive maintenance terminal by the input of user profile interactive module, to the feedback information of the correctness of failure diagnosis information, according to described feedback information the data message that comprises analytical approach and failure diagnosis information is added up storage.
Preferably, described fault analysis and diagnostic module are further used for: receive the data analysis request at particular analysis method of user by the input of user profile interactive module, finish data analysis according to described data analysis request, the data analysis result who obtains is offered the user, be used for the user and draw failure diagnosis information according to described data analysis result.
Wherein, described fault analysis and diagnostic module comprise:
The machine performance data memory module is used to obtain the also machine performance data of each state of store mechanical equipment;
The process data memory module is used for the data message of storage failure analysis and diagnostic procedure;
The knowledge data memory module is used for the data message after storage failure analysis and diagnosis are finished;
Data analysis module is used for obtaining the machine performance data according to the user's data analysis request from the process management module from mechanical status data memory module, finishes data analysis, and the data analysis result who obtains is offered the process management module;
The process management module is used to receive the data analysis request of user by the input of user profile interactive module; Described data analysis request is offered described data analysis module, and the data analysis result that data analysis module is returned offers the user by the user profile interactive module; Receive the user according to the failure diagnosis information that comprise diagnosis object and failure cause of data analysis result by the input of user profile interactive module; Failure diagnosis information is offered maintenance terminal by the user profile interactive module, receive maintenance terminal by the input of user profile interactive module, to the feedback information of the correctness of failure diagnosis information, according to described feedback information, the data message that comprises analytical approach and failure diagnosis information in the process data memory module is added up, with the statistics after data information memory in the knowledge data memory module; Trace fault is analyzed and diagnostic procedure, and the data information memory in fault analysis and the diagnostic procedure has been number of passes according in the memory module.
Preferably, described process management module is further used for: will comprise the data message of diagnosis object and intermediate data in the fault analysis of storing in the process data memory module and the diagnostic procedure, offer the user by described user profile interactive module, receive the user on the basis of described data message, by the data analysis request of user profile interactive module input.
Preferably, described process management module is further used for: extract the data message that comprises analytical approach and failure diagnosis information at selected diagnosis object from the knowledge data memory module, described data message is offered the user by the user profile interactive module.
Wherein, described data analysis module comprises a plurality of data analysis submodules, and each data analysis submodule is used for finishing data analysis according to presetting method.
From such scheme as can be seen, the fault analysis and the diagnostic platform of Gong the multi-user participation of a unification are provided in the embodiment of the invention, in fault analysis and diagnostic procedure, data analysis is finished in data analysis request according to the user's input that is received, the data analysis result who obtains is offered the user, and receive the failure diagnosis information that draws according to the data analysis result; Then, failure diagnosis information is offered maintenance terminal, reception is from the feedback information to the correctness of failure diagnosis information of maintenance terminal, thereby finished the collection of feedback information, according to feedback information the data message that comprises diagnosis object and failure diagnosis information has been added up storage afterwards.As seen, the fault analysis and the diagnostic platform that provide in the embodiment of the invention comprise: tracking data analysis, obtain failure diagnosis information, collect the feedback information of maintenance terminal to failure diagnosis information, and the data message in data analysis and the failure diagnostic process is added up storage according to feedback information, thereby finished the accumulation of experience, make the user to obtain priori, for follow-up fault analysis and diagnosis are offered help according to the experience accumulation of front.
Further, among the present invention by from accumulating experience of collecting and preserve, extraction is at the data analysis and the fault diagnosis data message of selected diagnosis object, and the data message that is extracted offered the user, so that when the user analyzes, can import new data analysis request with reference to the data message that is extracted, thereby improve the efficient of data analysis and failure diagnostic process.
Description of drawings
To make the clearer above-mentioned and other feature and advantage of the present invention of those of ordinary skill in the art by describe exemplary embodiment of the present invention in detail with reference to accompanying drawing below, in the accompanying drawing:
Fig. 1 is the exemplary process diagram of the method for fault analysis and diagnosis in the embodiment of the invention;
Fig. 2 is the synoptic diagram that a kind of failure diagnosis information is selected the interface in the embodiment of the invention;
Fig. 3 is the process flow diagram of a kind of specific implementation process of step 105 shown in Figure 1;
Fig. 4 is the analysis situation map of each state of plant equipment in the embodiment of the invention;
Fig. 5 is the detailed stretch-out view of analysis situation of each state of plant equipment in the embodiment of the invention;
Fig. 6 is the exemplary block diagram of the system of fault analysis and diagnosis in the embodiment of the invention;
Fig. 7 is the cut-away view of fault analysis and diagnostic module in the system shown in Figure 6.
Embodiment
In the embodiment of the invention, receive the data analysis request of user's input; Finish data analysis according to this data analysis request, the data analysis result who obtains is offered the user; The failure diagnosis information that reception draws according to the data analysis result; Then, failure diagnosis information is offered maintenance terminal, receive from maintenance terminal, to the feedback information of the correctness of failure diagnosis information; According to feedback information the data message in data analysis and the failure diagnostic process is added up storage, so that provide reference for fault analysis and diagnosis.
For making purpose of the present invention, technical scheme and advantage clearer, below with reference to the accompanying drawing embodiment that develops simultaneously, the present invention is described in more detail.
Fig. 1 is the exemplary process diagram of the method for fault analysis and diagnosis in the embodiment of the invention.As shown in Figure 1, this flow process comprises the steps:
Step 101 receives the data analysis request at the particular analysis method of user's input.
In the present embodiment, can be accomplished in several ways fault analysis and diagnosis that one or more users participate in, realize as the structure that can adopt browser/server (B/S), also can adopt the structure of client/server (C/S) to realize, perhaps can also adopt the two mode realization that combines etc.
In the present embodiment, receive before the data analysis request of user's input, can set in advance the different data analysis tools of finishing various data analysis functions, as MATLAB (a kind of instrument that carries out linear algebra calculating), the various data analysis tools of LabView (a kind of patterned programming tool) etc., and in advance the information of each data analysis tool is offered the user.During specific implementation, multiple implementation can be arranged, only enumerate a kind of specific implementation below:
Utilize descriptive language (as extend markup language (XML) etc.) that function, input and the output information etc. of each data analysis tool are described, generate the self-described file of each data analysis tool, generate the graphic interface that comprises data analysis tool information according to this self-described file and present to the user.
Wherein, the input information of each data analysis tool can comprise the parameter of needs input and the configuration information of parameter.
Wherein, the data analysis request of user's input can be: the user is at the particular analysis method, function, input and output information etc. according to each data analysis tool, select required data analysis tool for use, and input comprises this data analysis tool required input parameter and data association message to be analyzed in interior data analysis request.Wherein, data to be analyzed are to analyze partial data in the relevant machine performance data with this.Wherein, the machine performance data can comprise: voltage, electric current, moment of torsion, stroke range, positional information etc.
In addition, during specific implementation, also can need not the information of data analysis tool is offered the user, and directly receive the data analysis request of certain analysis of carrying out of user input, at this moment, the user can directly import the request that desire carries out data analysis to which aspect of plant equipment and gets final product.
Further, after receiving data analysis request first at certain specific mechanical equipment from certain user, can be this plant equipment and create the interim form of user, be used for when following the trail of each user, each user being recorded in the interim form of the user who is set up at the data message of this plant equipment in carrying out fault analysis and diagnostic procedure to the whole fault analysis of this plant equipment and diagnostic procedure.Wherein, the data message in fault analysis and the diagnostic procedure can comprise: failure diagnosis information that user name, analysis time, used data analysing method and user make etc.Wherein, the interim form of user can be stored in the process data memory module that sets in advance.
In this step, the analytical approach that the user adopts can be known according to the user's data analysis request in system, and can carry out record to this analytical approach.
Step 102 is finished data analysis according to above-mentioned data analysis request, and the data analysis result who obtains is offered the user.
In this step, for first kind of cited in the step 101 situation, after receiving the data analysis request of above-mentioned user at selected data analysis tool input, according to the relevant machine performance data of data analysis acquisition request and finish data analysis, afterwards the data analysis result who obtains is offered the user by corresponding data analysis tool.
Further, because some analytic process is complicated, and can produce a large amount of intermediate data, as the intermediate result that produces in the MATLAB algorithm etc., these intermediate data also are very important for fault diagnosis sometimes, therefore can carry out reference for the user; Perhaps the user proceeds to analyze on the basis of data between also can be in these, to save the data-analysis time.For this reason, these intermediate data can be stored.For example, in data analysis process, generate the journal file of data analysis, when June 27 was carried out wavelet analysis as 2007, corresponding important intermediate data etc. will be saved, but and the journal file of spanned file by name " small echo 20070627 ", certainly, the filename of this journal file also can generate other filename according to user's custom or demand, in addition, the type of journal file then can be decided according to actual conditions, as being the WORD type, also can be the XML type.Wherein, storable intermediate data can comprise in the journal file: the data to be analyzed of the part in the machine performance data, the needed input of data analysis tool and output information etc., and can further comprise the information such as intermediate result which data is analyzed, which data is not analyzed and analyze.This journal file also can record in the interim form of user.
Carry out the data analysis request of certain analysis for cited direct reception user input in the step 101 at the particular analysis method, after receiving above-mentioned data analysis request, automatically choose the suitable data analysis tool according to this data analysis request, reach the mechanical related data of obtaining in real time by this data analysis tool and finish data analysis, afterwards the data analysis result who obtains is offered the user.
Step 103 receives the failure diagnosis information of user according to data analysis result input.
In the present embodiment, failure diagnosis information comprises diagnosis object and failure cause at least.For the ease of handling each user's failure diagnosis information, can be in advance to the failure diagnosis information unified standard, and all failure diagnosis informations are offered the user, therefrom select by the user, so just can carry out standardization and structurized statistics and storage the failure diagnosis information that all users draw.Wherein, standardized failure diagnosis information can upgrade at any time.
For example, can set in advance the failure diagnosis information tabulation of the failure cause that comprises diagnosis object and correspondence thereof, this failure diagnosis information tabulation is offered the user, simultaneously, corresponding possible failure diagnosis information can be set fill tabulation, in this tabulation, import the possible failure cause that it is thought by the user.Further, consider that when fault diagnosis, there is unascertainable failure cause in the user, but also have eliminable failure cause simultaneously, therefore corresponding eliminable failure diagnosis information also can be set fill tabulation.
Correspondingly receiving the user according to the failure diagnosis information that the data analysis result imports is: receive the user from the information list of the failure cause of above-mentioned diagnosis object and correspondence thereof, the diagnosis object of selection and this diagnosis object failure diagnosis information possible and/or eliminable failure cause.
In addition, if according to fault analysis and diagnostic procedure in the past, stored the corresponding relation of mass data analysis result and failure diagnosis information in advance, then in step 103, also can according to the data analysis result and with the described corresponding relation of failure diagnosis information, obtain corresponding failure diagnosis information.
Fig. 2 shows a kind of inputting interface synoptic diagram of failure diagnosis information.As shown in Figure 2, in two tabulations wherein, listed the failure cause of each diagnosis object and each diagnosis object respectively, i.e. mechanical component among the figure and component faults.Wherein, the left list has been listed each diagnosis object (mechanical component), and each diagnosis object in the present embodiment comprises: guide rail, ball bearing, leading screw, gear, bearing and hydraulic system, tool changing system etc.When clicking one of them diagnosis object, ball bearing for example, the right-hand column tabular goes out all failure causes (component faults) of this diagnosis object, and in the present embodiment, the failure cause of ball bearing comprises: pollution, wearing and tearing, gap, lubricated not enough and improper connection etc.From all failure causes, select a failure cause, gap for example, then if click "〉on right side〉" icon, then this diagnosis object is filled in the possible failure diagnosis information filling tabulation (possible mechanical fault) of below, the rightmost side together with the failure diagnosis information of this failure cause, i.e. ball bearing gap among the figure; If the click right side "＜＜" icon, then this diagnosis object connects the eliminable failure diagnosis information that this failure diagnosis information with failure cause is filled into rightmost side top and fills in the tabulation (eliminable mechanical fault), and is lubricated not enough as the ball bearing among the figure of previous click.Wherein, reference when eliminable failure diagnosis information can carry out fault analysis and diagnosis for other users, thus save fault analysis and diagnostic process.
Further, coverage for the failure diagnosis information tabulation of enriching constantly, this failure diagnosis information tabulation can be upgraded at any time, when the user finds to have new failure diagnosis information, can add in the failure diagnosis information tabulation by above-mentioned inputting interface, perhaps when the user can not find the diagnosis object self thought and failure cause in failure diagnosis information tabulation, also can add diagnosis object and the failure cause self thought.During the consequent malfunction diagnosis, the failure diagnosis information tabulation after the renewal will be provided for the user.
In addition, during specific implementation, also can only provide the dialog box of user's input fault diagnostic message, then the user imports this dialog box according to the data analysis result with failure diagnosis information, afterwards the content in this dialog box is received.
After above-mentioned steps was finished, the content in the interim form of creating for No. 1 plant equipment in the step 101 of user can be as shown in Table 1:
Table one
Sequence number user name analytical approach analysis time journal file name failure diagnosis information
1 user A 2007-6-27 wavelet analysis small echo 20070627.XML bearing inner race fault
…… …… …… …… …… ……
…… …… …… …… …… ……
For each user has set up a record, and can comprise in every record in the table one: address name, analysis time, used analytical approach, journal file name and the failure diagnosis information of being created.For example, article one record shows that user A once utilized wavelet analysis method that No. 1 plant equipment has been carried out data analysis on June 27th, 2007, and has generated journal file small echo 20070627.XML, and failure diagnosis information is the bearing inner race fault.
Step 104 offers maintenance terminal with failure diagnosis information, receives the feedback information to the correctness of failure diagnosis information from maintenance terminal.
In the present embodiment, maintenance terminal can be the maintainer, then can be according to the interim form of user, failure diagnosis information is offered the maintainer to safeguard forms such as form, in order to receive maintainer's feedback information, can safeguard that the feedback information that can fill feedback information is set in the form fills field at this, then the maintainer fills the feedback information of importing in the field the correctness of failure diagnosis information according to the result that safeguards of reality at described feedback information.
For example, can be as shown in Table 2 for the content of safeguarding form of No. 1 plant equipment:
Table two
Sequence number mechanical component failure cause feedback information
1 ball bearing wearing and tearing √
2 ball bearing are lubricated not enough *
…… …… …… ……
From table two as seen, this safeguards that the failure diagnosis information in the form comprises diagnosis object and possible failure cause, diagnosis object in the table two comprises: ball bearing etc., when ball bearing was diagnosed, the possible failure cause that draws comprised: wearing and tearing and lubricated not enough etc.
In addition, this safeguards and comprises also in the form that feedback information fills field, and the maintainer is according in the maintenance process, the mechanical component of plant equipment and component faults, feedback information fill in the field to the failure diagnosis information mark " to " or the information of " mistake ".For example, correct with " √ " expression failure diagnosis information, with " * " expression failure diagnosis information mistake.Feedback information from table two as can be seen, the failure cause of ball bearing should be wearing and tearing.
Step 105 is added up storage according to feedback information to the data message that comprises analytical approach and failure diagnosis information.
In this step, the method of the data message that comprises analytical approach and failure diagnosis information in fault analysis and the diagnostic procedure being added up storage according to feedback information can have multiple, for example, can be to there being all data messages of feedback information, with the diagnosis object is key word, and all data messages that will be relevant with this diagnosis object are concluded storage together; Perhaps, be key word with diagnosis object, failure cause, all data messages of same diagnostic object and same fault reason are concluded storage together; Or, be key word with diagnosis object, failure cause and analytical approach, all data messages of same diagnostic object, same fault reason and same analysis method are concluded storage together etc.Only enumerating a kind of example below is described in detail the specific implementation of the data message in fault analysis and the diagnostic procedure being added up storage according to feedback information.
Fig. 3 shows the process flow diagram of a kind of specific implementation process of step 105, for convenience the data message in fault analysis and the diagnostic procedure is added up storage in this flow process, can set in advance the knowledge data memory block, and the fault analysis of being stored and the data message in the diagnostic procedure are called knowledge record.Wherein, the knowledge data memory block can be the knowledge data memory module.As shown in Figure 3, this flow process comprises the steps:
Step 105a judges in all feedback informations in this fault analysis and the diagnostic procedure, whether has the correct feedback information of failure diagnosis information, if existence, then execution in step 105b; Otherwise, but execution in step 105c promptly abandons the data message in this fault analysis and the diagnostic procedure, and accordingly can be with the interim form deletion of user.
Step 105b according to interim form of user and feedback information, generates the case form.The case form is made up of the idagnostic logout that comprises feedback information, analytical approach and failure diagnosis information at least.Accordingly, can be with the interim form deletion of user.Afterwards, execution in step 105d.
During specific implementation, the case form can be as shown in Table 3:
Table three
Daily record is analyzed in the case creation sizing
Number time device sequence number method filename
1 2007-6-27,21 wavelet analysis wavelet analysis 20070627.XML do not have
1 2007-6-27,22 trend analysis trend analysis 20070627.XML
1 2007-6-27,23 correlation analysis correlation analysis 20070627.XML
…… …… …… …… …… …… …… ……
In the table three, every idagnostic logout of this case form comprises Case No., creation-time, plant equipment number, analyzes sequence number, analytical approach, journal file name, failure diagnosis information and feedback information.From above-mentioned table three, as seen, wavelet analysis, trend analysis and three kinds of analytical approachs of correlation analysis have been carried out respectively for No. 2 plant equipment.Wherein, when utilizing wavelet analysis, do not provide failure diagnosis information; When utilizing trend analysis method to analyze, drawing failure diagnosis information is the bearing inner race fault, and this failure diagnosis information is correct; When utilizing relative analysis method, drawing failure diagnosis information is that bearing pollutes, and this failure diagnosis information mistake.
Step 105d reads the current idagnostic logout of feedback information from the case form.
For the second idagnostic logout in the table three, then whether there is the record that adopts trend analysis and be diagnosed as the bearing inner race fault in the judgemental knowledge data storage area, if existence, then execution in step 105f; Otherwise, execution in step 105i.
Whether step 105f, the feedback information of judging this idagnostic logout are the correct feedback information of diagnosis, if, execution in step 105g then; Otherwise, execution in step 105h.
Step 105g is for the diagnosis weights of this knowledge record add one, execution in step 1051.
Whether step 105i, the feedback information of judging this idagnostic logout are the correct feedback information of diagnosis, if, execution in step 105j then; Otherwise, but execution in step 105k promptly abandons this idagnostic logout.
Afterwards, when the user need diagnose once more, when perhaps the user wants to understand the certain situation of this diagnosis, the user can import the particular diagnosis object of desire diagnosis or monitoring, whether search exists the knowledge record of this diagnosis object from the knowledge data memory block, if exist, then therefrom extract this knowledge record information, the knowledge record information of being extracted is offered the user, so that the user can be according to the data message that comprises analytical approach and failure diagnosis information in the fault analysis of described extraction and the diagnostic procedure, input data analysis request.
When specifically extracting data message, can be: from the knowledge data memory block, extract data message at the highest knowledge record of the diagnosis weights of selected diagnosis object; Or: from the knowledge data memory block,, extract the data message of knowledge record successively according to diagnosis weights order from high to low at selected diagnosis object; Or be: from the knowledge data memory block,, extract the data message of knowledge record successively according to diagnosis weights order from low to high at selected diagnosis object.
In addition, because in this method, stored the user in the interim form of user and carried out data in fault analysis and the diagnostic procedure, when therefore in the user is carrying out the process of fault analysis and diagnosis, withdrawing from, can also continue on this basis next time, and perhaps other users also can continue on this basis.During specific implementation, can be according to the interim form of user of storage, the data message that comprises diagnosis object and intermediate data at least in fault analysis and the diagnostic procedure is offered the user, receive the user on the basis of this data message, the data analysis request of input, and the operation of data analysis is finished in execution according to the data analysis request, thereby on the one hand improved the dirigibility that the user carries out fault analysis and diagnosis, also shorten the time that the user carries out fault analysis and diagnosis on the other hand, improved efficient.
For example, in order to make the user understand the fault analysis and the diagnosis situation of current each state of plant equipment, can be as in the present embodiment shown in Figure 4, Fig. 4 shows the fault analysis and the diagnosis situation of each state of plant equipment, and wherein different colors or font are used for characterizing the present analysis state of conditions of machine tool data.Represent the lathe data analyzed with light color among Fig. 4,, represent this data present with runic with default colour specification data to be analyzed.As for No. 1 plant equipment, the peak torque in the constant speed shaft test, the pressure parameter of programmable logic controller (PLC) (PLC) and numerical control (NC) data were all analyzed; And average torque and the counter among the PLC in the constant speed shaft test are to be analyzed; The data of minimal torque and circumference test are then just analyzed.
In addition, also can be by in the present embodiment shown in Figure 5, Fig. 5 is the fault analysis and the detailed stretch-out view of diagnosis situation of each state of plant equipment.List relevant treatment state among Fig. 5 in detail, as can be seen, user A has analyzed current No. 1 plant equipment, and has adopted wavelet analysis method, comprising input, output information and conclusion, i.e. failure diagnosis information.Wherein output comprises: approach part and detail section.Afterwards, before this diagnosis was all finished, oneself on the basis of detail section, had adopted the fourier transform analysis method again, has obtained output and conclusion, i.e. failure diagnosis information.And user B has adopted trend statistical analysis technique and trend pattern analysis method again, and has drawn failure diagnosis information on the basis of approaching part.
In the said method, related process data memory module and knowledge data memory module etc., can realize by database, perhaps also can realize by other method, and can be not by the data in interim accounting logging fault analysis of user and the diagnostic procedure, and by the alternate manner record, as file etc.
Said method embodiment is a preferred embodiment of the present invention, the process of obtaining analytical approach and failure diagnosis information in the foregoing description is: the analytical approach that the data analysis acquisition request user who imports by the user is adopted, and finish data analysis according to the data analysis request, obtain the data analysis result, and receive the failure diagnosis information that draws according to the data analysis result.During specific implementation, also can omit above-mentioned steps 101 in the native system to step 102, and directly obtain the data message that comprises the failure diagnosis information and the analytical approach that adopts.At this moment, the process of obtaining data message can be the user after adopting the particular analysis method to draw the failure diagnosis information that comprises diagnosis object and failure cause on other platform, the data message that comprises analytical approach and failure diagnosis information of input.
More than the method for fault analysis in the embodiment of the invention and diagnosis is described in detail, again the system of fault analysis in the embodiment of the invention and diagnosis is described in detail below.
Fig. 6 is the exemplary block diagram of the system of fault analysis and diagnosis in the embodiment of the invention.As shown in Figure 6, this system comprises: user profile interactive module 610 and fault analysis and diagnostic module 620.
Wherein, user profile interactive module 610 is used for carrying out information interaction between one or more users and fault analysis and diagnostic module.
Fault analysis and diagnostic module 620 are used to obtain the data message that comprises the failure diagnosis information and the analytical approach that adopts, and wherein, failure diagnosis information comprises diagnosis object and failure cause; Described failure diagnosis information is offered maintenance terminal by user profile interactive module 610, receive maintenance terminal by 610 inputs of user profile interactive module, to the feedback information of the correctness of failure diagnosis information, according to described feedback information the data message that comprises analytical approach and failure diagnosis information is added up storage.
Wherein, the process that fault analysis and diagnostic module 620 obtain the data message that comprises the failure diagnosis information and the analytical approach that adopts can be to receive the user after adopting the particular analysis method to draw the failure diagnosis information that comprises diagnosis object and failure cause on other platform, the data message that comprises analytical approach and failure diagnosis information of input.Perhaps further, fault analysis and diagnostic module 620 also can be used for: receive the data analysis request at particular analysis method of user by 610 inputs of user profile interactive module, finish data analysis according to described data analysis request, the data analysis result who obtains is offered the user, be used for the user and draw failure diagnosis information according to described data analysis result.At this moment, fault analysis and diagnostic module 620 are used for finishing data analysis according to the user by the data analysis request of user profile interactive module 610 inputs, receive the failure diagnosis information that comprises diagnosis object and failure cause that draws according to the data analysis result; After diagnosis is finished, failure diagnosis information is offered maintenance terminal by user profile interactive module 610, receive maintenance terminal by 610 inputs of user profile interactive module, to the feedback information of the correctness of failure diagnosis information, according to feedback information the data message that comprises analytical approach and failure diagnosis information is added up storage.
Wherein, fault analysis and diagnostic module 620 can offer the user by user profile interactive module 610 with the data analysis result who obtains; Receive the user according to the failure diagnosis information of data analysis result by 610 inputs of user profile interactive module.Perhaps, if store the corresponding relation of data analysis result and failure diagnosis information in fault analysis and the diagnostic module 620, then according to the data analysis result and with the corresponding relation of failure diagnosis information, obtain failure diagnosis information.
Wherein, during specific implementation, fault analysis and diagnostic module 620 can have multiple specific implementation form, only enumerate wherein a kind of specific implementation to fault analysis and diagnostic module 620 below and are described in detail.
Fig. 7 is a kind of inner structure synoptic diagram of fault analysis and diagnostic module 620.As shown in Figure 7, fault analysis and diagnostic module 620 comprise: machine performance data memory module 621, process data memory module 622, knowledge data memory module 623, data analysis module 624 and process management module 625.
Wherein, machine performance data memory module 621 is used for obtaining in real time the also data message of each state of store mechanical equipment.
Process data memory module 622 is used for the data message of storage failure analysis and diagnostic procedure.
The data message that knowledge data memory module 623 is used for storage failure analysis and diagnosis after finishing.
Process management module 625 is used for the information of data analysis module 624 is offered the user by user profile interactive module 610, receive the data analysis request of user by 610 inputs of user profile interactive module, the data analysis request that is received is offered data analysis module 624, and the data analysis result that data analysis module 624 is returned offers the user by user profile interactive module 610; Receive the user according to the failure diagnosis information that comprise diagnosis object and failure cause of data analysis result by 610 inputs of user profile interactive module; Trace fault is analyzed and diagnostic procedure, and the data information memory in fault analysis and the diagnostic procedure has been number of passes according in the memory module 622, further, can also sort out statistics etc. to these data messages; Failure diagnosis information is offered maintenance terminal by user profile interactive module 610, receive maintenance terminal by 610 inputs of user profile interactive module, to the feedback information of the correctness of failure diagnosis information, according to feedback information, the data message that comprises analytical approach and failure diagnosis information in the process data memory module 622 is concluded screening and statistics, to conclude data information memory after screening and the statistics in knowledge data memory module 623, for fault analysis and diagnosis provide reference.Wherein, the method for concluding screening and statistics can be consistent with the method for description in the step 105 shown in Figure 1, perhaps also can adopt other the conclusion screening and the method for statistics.
Further, process management module 625 also is used for and will comprises that the data message of diagnosis object and intermediate data carries out offering the user by user profile interactive module 610 behind the inductive statistics in the fault analysis of process data memory module 622 storages and the diagnostic procedure, receive the user on the basis of this data message, by the data analysis request of user profile interactive module 610 inputs.
Further, process management module 610 also is used for extracting at the data message that comprises analytical approach and failure diagnosis information the fault analysis of selected diagnosis object and the diagnostic procedure from knowledge data memory module 623, the data message that is extracted is offered the user by user profile interactive module 610, be used for the user and obtain experimental knowledge according to this data message, and according to the experimental knowledge of being obtained, by the data analysis request of user profile interactive module 610 inputs at the particular analysis method.
Wherein, data analysis module 624 comprises a plurality of data analysis submodules, and each data analysis submodule is used for finishing data analysis according to presetting method.When then process management module 625 information with data analysis module 624 offer the user, can be that the information with the data analysis submodule in the data analysis module 624 offers the user by user profile interactive module 610.Afterwards, receive the data analysis request of user by 610 inputs of user profile interactive module, the data analysis request that is received is offered corresponding data analysis submodule in the data analysis module 624, and the data analysis result that the data analysis submodule is returned offers the user by user profile interactive module 610.
Wherein, machine performance data memory module 621, process data memory module 622 and knowledge data memory module 623 can realize by database, also can realize by other method.
In addition, also can need not to be provided with data analysis module 624 in the system shown in Figure 7, at this moment, process management module 625 is used to receive the data message that comprise failure diagnosis information and adopt analytical approach of user by 610 inputs of user profile interactive module, wherein, failure diagnosis information comprises diagnosis object and failure cause; Trace fault is analyzed and diagnostic procedure, and the data information memory in fault analysis and the diagnostic procedure has been number of passes according in the memory module 622; Failure diagnosis information is offered maintenance terminal by user profile interactive module 610, receive maintenance terminal by 610 inputs of user profile interactive module, to the feedback information of the correctness of failure diagnosis information, according to feedback information, the data message that comprises analytical approach and failure diagnosis information in the process data memory module 622 is concluded screening and statistics, to conclude data information memory after screening and the statistics in knowledge data memory module 623, for fault analysis and diagnosis provide reference.Wherein, the method for concluding screening and statistics can be consistent with the method for description in the step 105 shown in Figure 1, perhaps also can adopt other the conclusion screening and the method for statistics.At this moment, process management module 610 further, also be used for extracting at the data message that comprises analytical approach and failure diagnosis information the fault analysis of selected diagnosis object and the diagnostic procedure from knowledge data memory module 623, the data message that is extracted is offered the user by user profile interactive module 610, be used for the user and obtain experimental knowledge according to this data message, and according to the experimental knowledge of being obtained, by the data analysis request of user profile interactive module 610 inputs at the particular analysis method.
The specific operation process of each module all can be consistent with the corresponding steps in the method flow shown in Figure 2 in the said system, gives unnecessary details no longer one by one herein.
By above each embodiment, the technical scheme among the present invention has following advantage as can be known:
But 1, fault analysis and the diagnostic platform by providing the multi-user to use realized the sharing synchronously of information, unified structure information and automated procedure is followed the trail of and management, improved the validity of fault analysis and diagnostic procedure.
2, by collecting the feedback information of maintenance terminal, and according to the data message that writes down in the feedback information of maintenance terminal and fault analysis and the diagnostic procedure, the case form of generating structureization, after then summary being concluded in the record in the case form, relevant information is stored as the knowledge experience, for use in the fault analysis in the future and the reference of diagnosis, finish the process of knowledge accumulation by this platform, then can obtain to enrich diagnostic knowledge at short notice for the abundant personnel of experience.
3, when the relevant information in the case form is stored, by the principle that adopts the diagnosis weights to calculate, make the technical scheme among the present invention will offer the user to image diagnosis weights the highest data analysis and fault diagnosis data message at particular diagnosis, or according to the image diagnosis weights from high to low or order from low to high at particular diagnosis, offer the user successively, make user's effective method that comes into plain view in fault analysis and the diagnostic procedure, shortened the time that the user carries out fault analysis and diagnosis.
The above is preferred embodiment of the present invention only, is not to be used to limit protection scope of the present invention.Within the spirit and principles in the present invention all, any modification of being done, be equal to and replace and improvement etc., all should be included within protection scope of the present invention.
Claims (19)
1, the method for a kind of fault analysis and diagnosis is characterized in that, this method comprises:
Obtain the data message that comprises the failure diagnosis information and the analytical approach that adopts; Wherein, described failure diagnosis information comprises diagnosis object and failure cause;
Described failure diagnosis information is offered maintenance terminal, receive from maintenance terminal, to the feedback information of the correctness of failure diagnosis information;
According to described feedback information the data message that comprises analytical approach and failure diagnosis information is added up storage.
2, the method for claim 1 is characterized in that, described obtaining before the data message that comprises the failure diagnosis information and the analytical approach that adopts further comprises: receive the data analysis request at the particular analysis method of user's input; Finish data analysis according to described data analysis request, the data analysis result who obtains is offered the user;
Described failure diagnosis information is: the failure diagnosis information that draws according to described data analysis result.
3, method as claimed in claim 2 is characterized in that, before the data analysis request at the particular analysis method of described reception user input, further comprise: the information that will finish each data analysis tool of different pieces of information analytic function offers the user;
The data analysis request at the particular analysis method of each user of described reception input is: receive the data analysis request that the user imports after at particular analysis method selected data analysis tool;
Describedly finish data analysis according to the data analysis request and be:, finish data analysis by corresponding data analysis tool according to described data analysis request.
4, method as claimed in claim 3, it is characterized in that, the described information that will finish each data analysis tool of different pieces of information analytic function offers the user: function, input and output information to each described data analysis tool are described, generate the self-described file of each data analysis tool, according to described self-described file, generate the graphic interface that comprises described data analysis tool information and present to the user;
The data analysis request at the particular analysis method of described reception user input is: receive function, input and the output information of user according to described each data analysis tool, comprise the data analysis tool required input in interior data analysis request at what import after the particular analysis method selected data analysis tool.
5, method as claimed in claim 2, it is characterized in that, describedly draw before the failure diagnosis information according to the data analysis result, further comprise: the failure diagnosis information tabulation that comprises diagnosis object and corresponding failure cause thereof that will set in advance offers the user;
The described failure diagnosis information that draws according to the data analysis result is: the user selects corresponding failure diagnosis information from the failure diagnosis information tabulation of the failure cause of described diagnosis object and correspondence thereof, described failure diagnosis information comprises: the possible and/or eliminable failure cause of diagnosis object and this diagnosis object.
6, method as claimed in claim 2 is characterized in that, this method further comprises: the corresponding relation of storing data analysis result and failure diagnosis information in advance;
The described failure diagnosis information that draws according to the data analysis result is: according to the corresponding relation of described data analysis result and described data analysis result and failure diagnosis information, the failure diagnosis information that obtains.
7, method as claimed in claim 2, it is characterized in that, this method further comprises: after receiving the user's data analysis request, create the interim form of user at each plant equipment, follow the trail of and in described interim form each user of record each plant equipment is being carried out data message in fault analysis and the diagnostic procedure.
8, method as claimed in claim 7, it is characterized in that, this method further comprises: according to the interim form of described user, the data message that comprises diagnosis object and intermediate data in fault analysis and the diagnostic procedure is offered the user, receive the data analysis request that the user imports on the basis of described data message, and return and carry out the described step of finishing data analysis according to the data analysis request.
9, method as claimed in claim 7, it is characterized in that, describedly failure diagnosis information is offered maintenance terminal be: according to the interim form of described user, failure diagnosis information is concluded, generate the form of safeguarding that comprises failure diagnosis information and feedback information filling field and offer maintenance terminal;
Described reception from maintenance terminal, to the feedback information of the correctness of failure diagnosis information be: receive maintenance terminal described feedback information fill import in the field, to the feedback information of the correctness of failure diagnosis information.
10, method as claimed in claim 7 is characterized in that, described according to feedback information to the data message that comprises analytical approach and failure diagnosis information add up the storage comprise:
A, judge whether there be the feedback information correct in the described feedback information to the diagnosis of failure diagnosis information, if exist, then, generate the case form of the idagnostic logout that comprises analytical approach, failure diagnosis information and feedback information at least according to the interim form of described user;
B, to every idagnostic logout in the described case form, judge whether to exist the analytical approach identical and the knowledge record of failure diagnosis information with described idagnostic logout, if exist, execution in step C then; Otherwise, execution in step D;
C, judge that whether the feedback information of described idagnostic logout is the correct feedback information of diagnosis, if, and finish the treatment scheme of this idagnostic logout then for the diagnosis weights of described knowledge record add one; Otherwise,, and finish the treatment scheme of this idagnostic logout for the diagnosis weights of described knowledge record subtract one;
D, judge that whether the feedback information of described idagnostic logout is the correct feedback information of diagnosis, if then described idagnostic logout is stored as knowledge record; Otherwise, abandon this idagnostic logout.
11, method as claimed in claim 10 is characterized in that, this method further comprises: extract the data message that comprises analytical approach and failure diagnosis information at selected diagnosis object, described data message is offered the user.
12, method as claimed in claim 11, it is characterized in that described extraction at the data message that comprises analytical approach and failure diagnosis information of selected diagnosis object is: extract the highest data message that comprises analytical approach and failure diagnosis information of diagnosis weights at selected diagnosis object;
Perhaps be:, extract the data message that comprises analytical approach and failure diagnosis information successively according to diagnosis weights order from high to low at selected diagnosis object;
Perhaps be:, extract the data message that comprises analytical approach and failure diagnosis information successively according to diagnosis weights order from low to high at selected diagnosis object.
13, as claim 11 or 12 described methods, it is characterized in that the data analysis request at the particular analysis method of described reception user input is: receive the data analysis request at particular analysis method of user according to the data message input that comprises analytical approach and failure diagnosis information of described extraction.
14, the system of a kind of fault analysis and diagnosis is characterized in that, this system comprises:
User profile interactive module (610) is used for carrying out information interaction between user and fault analysis and diagnostic module;
Fault analysis and diagnostic module (620) are used to obtain the data message that comprises the failure diagnosis information and the analytical approach that adopts, and wherein, failure diagnosis information comprises diagnosis object and failure cause; Described failure diagnosis information is offered maintenance terminal by user profile interactive module (610), receive maintenance terminal by user profile interactive module (610) input, to the feedback information of the correctness of failure diagnosis information, according to described feedback information the data message that comprises analytical approach and failure diagnosis information is added up storage.
15, system as claimed in claim 14, it is characterized in that, described fault analysis and diagnostic module (620) are further used for: receive the data analysis request at particular analysis method of user by user profile interactive module (610) input, finish data analysis according to described data analysis request, the data analysis result who obtains is offered the user, be used for the user and draw failure diagnosis information according to described data analysis result.
16, system as claimed in claim 15 is characterized in that, described fault analysis and diagnostic module (620) comprising:
Machine performance data memory module (621) is used to obtain the also machine performance data of each state of store mechanical equipment;
Process data memory module (622) is used for the data message of storage failure analysis and diagnostic procedure;
Knowledge data memory module (623) is used for the data message after storage failure analysis and diagnosis are finished;
Data analysis module (624), be used for according to user's data analysis request from the process management module, from mechanical status data memory module (621), obtain the machine performance data, finish data analysis, the data analysis result who obtains is offered the process management module;
Process management module (625) is used to receive the data analysis request of user by user profile interactive module (610) input; Described data analysis request is offered described data analysis module (624), and the data analysis result that data analysis module (624) is returned offers the user by user profile interactive module (610); Receive the user according to the failure diagnosis information that comprise diagnosis object and failure cause of data analysis result by user profile interactive module (610) input; Failure diagnosis information is offered maintenance terminal by user profile interactive module (610), receive maintenance terminal by user profile interactive module (610) input, to the feedback information of the correctness of failure diagnosis information, according to described feedback information, the data message that comprises analytical approach and failure diagnosis information in the process data memory module (622) is added up, with the statistics after data information memory in knowledge data memory module (623); Trace fault is analyzed and diagnostic procedure, and the data information memory in fault analysis and the diagnostic procedure has been number of passes according in the memory module (622).
17, system as claimed in claim 16, it is characterized in that, described process management module (625) is further used for: will comprise the data message of diagnosis object and intermediate data in middle fault analysis of storing of process data memory module (622) and the diagnostic procedure, offer the user by described user profile interactive module (610), receive the user on the basis of described data message, by the data analysis request of user profile interactive module (610) input.
18, system as claimed in claim 16, it is characterized in that, described process management module (625) is further used for: extract the data message that comprises analytical approach and failure diagnosis information at selected diagnosis object from knowledge data memory module (623), described data message is offered the user by user profile interactive module (610).
As each described system in the claim 16 to 18, it is characterized in that 19, described data analysis module (624) comprises a plurality of data analysis submodules, each data analysis submodule is used for finishing data analysis according to presetting method.
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| PCT/EP2008/061314 WO2009037084A1 (en) | 2007-09-18 | 2008-08-28 | A method and system for failure analysis and diagnosis |
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| CNA2007101528255A CN101393543A (en) | 2007-09-18 | 2007-09-18 | Failure analysis and diagnosis method and system |
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