CN112711858B - FMEA-MSR analysis method and device - Google Patents
FMEA-MSR analysis method and device Download PDFInfo
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- CN112711858B CN112711858B CN202110031985.4A CN202110031985A CN112711858B CN 112711858 B CN112711858 B CN 112711858B CN 202110031985 A CN202110031985 A CN 202110031985A CN 112711858 B CN112711858 B CN 112711858B
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Abstract
The application discloses a FMEA-MSR analysis method and a device, wherein the method comprises the following steps: the failure mode meeting the preset conditions in the DFMEA, the failure reason and the failure result are brought into a structure tree of an FMEA-MSR page; grading the selected measures on an FMEA-MSR page to obtain the grading of the occurrence frequency F and the grading of the monitoring capability M, re-identifying the most serious consequence of the failure mode according to the selected measures, and determining the new severity S; generating an AP risk matrix according to the S/F/M rating, marking an optimized risk item, adding an optimization measure to an optimized risk item failure mode and a failure reason thereof to generate an optimization measure table, distributing an optimization task according to a responsibility authority in the optimization measure table, and generating an FMEA-MSR report after verifying the effectiveness of the optimization measure. According to the FMEA-MSR analysis method, the failure mode meeting the preset conditions in the DFMEA, the failure reasons and the failure consequences are automatically generated into the FMEA-MSR structural content, the association of the DFMEA and the FMEA-MSR is achieved, the analysis result is fully utilized, and the risk influencing safety and regulatory compliance is prevented.
Description
Technical Field
The application relates to the technical field of failure analysis, in particular to an FMEA-MSR analysis method and device.
Background
Supplementary FMEA for Monitoring and System Response is present in the AIAG & VDA FMEA manual (FMEA-MSR (FMEA for Monitoring and System Response)).
However, after learning the manual, the enterprise still cannot clearly realize the association between DFMEA (Design Failure Mode and Effects Analysis) and FMEA-MSR, and how to apply the Analysis result of DFMEA in FMEA-MSR, and cannot be practically utilized, so that the risk affecting safety and regulatory compliance cannot be effectively identified and prevented, and a solution is needed.
Content of application
The present invention is directed to solving, at least to some extent, one of the technical problems in the related art.
Therefore, the first purpose of the invention is to provide a method for realizing specific FMEA-MSR Analysis by software operation, which automatically generates the structural content of FMEA-MSR by the Failure Mode, the Failure reason and the Failure result which meet the preset conditions in DFMEA (Design Failure Mode and Effects Analysis), realizes the association of DFMEA and FMEA-MSR, analyzes the potential Failure and the system and vehicle influence result under the customer operation condition, finds the Failure in the customer operation process, and can avoid the initial Failure Mode by the degradation operation; the MSR result documentation is realized, the analysis result is effectively utilized, and the risk influencing the safety and the regulatory compliance is prevented.
The second purpose of the invention is to provide a FMEA-MSR analysis device.
A third object of the invention is to propose an electronic device.
A fourth object of the invention is to propose a computer-readable storage medium.
In order to achieve the above object, an embodiment of the first aspect of the present application provides a FMEA-MSR analysis method, including the following steps:
substituting a failure mode meeting preset conditions in the DFMEA, a failure reason and a failure result thereof into a structure tree of an FMEA-MSR page;
grading the selected measures on the FMEA-MSR page to obtain an occurrence frequency F grade and a monitoring capacity M grade; re-identifying the most severe consequence of the failure mode according to the selected measure, determining a new severity S and determining a failure risk degree according to the new severity S, the F rating and the M rating;
and determining an AP risk matrix according to the new severity S, the F rating and the M rating, marking a risk item to be optimized, adding an optimization measure to a failure mode and a failure reason of the risk item to be optimized, generating an optimization measure plan with clear responsibility authority, and automatically generating an FMEA-MSR report after verifying the effectiveness of the optimization measure plan.
In addition, the FMEA-MSR analysis method according to the above embodiment of the present invention may have the following additional technical features:
optionally, before being included in the structure tree of the FMEA-MSR page, the method further includes:
receiving an adding instruction of a user;
and acquiring the failure mode, the failure reason and the failure consequence which are added in the DFMEA failure analysis table according to the adding instruction.
Optionally, the rating the selected measure on the FMEA-MSR page comprises:
and calling preset knowledge base contents and/or preset scoring rules to analyze the severity, frequency and monitoring capability of the selected measures.
Optionally, after marking the risk items to be optimized, further comprising:
and synchronously marking failure reasons to be optimized on the structure tree.
In order to achieve the above object, a second aspect of the present application provides an FMEA-MSR analyzer, comprising:
the bringing-in module is used for bringing the failure mode meeting the preset conditions in the DFMEA, the failure reason and the failure result into a structure tree of an FMEA-MSR page;
the generating module is used for grading the selected measures on the FMEA-MSR page to obtain an occurrence frequency F grade and a monitoring capacity M grade; re-identifying the most severe consequence of the failure mode according to the selected measure, determining a new severity S and determining a failure risk degree according to the new severity S, the F rating and the M rating;
and the analysis module is used for determining an AP risk matrix according to the new severity S, the F rating and the M rating, marking a risk item to be optimized, adding an optimization measure to a failure mode of the risk item to be optimized and a failure reason thereof, generating an optimization measure plan with clear responsibility authority, and automatically generating an FMEA-MSR report after verifying the effectiveness of the optimization measure plan.
Optionally, before being brought into the structure tree of the FMEA-MSR page, the bring-in module is further configured to:
receiving an adding instruction of a user;
and acquiring the failure mode, the failure reason and the failure consequence which are added in the DFMEA failure analysis table according to the adding instruction.
Optionally, the generating module is specifically configured to:
and calling preset knowledge base content and/or preset scoring rules to analyze the severity, frequency and monitoring capability of the selected measures.
Optionally, after marking the risk items to be optimized, the analysis module is further configured to:
and synchronously marking failure reasons to be optimized on the structure tree.
To achieve the above object, an embodiment of a third aspect of the present application provides an electronic device, including: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor and configured to perform the FMEA-MSR analysis method as described in the above embodiments.
To achieve the above object, a fourth aspect of the present application provides a computer-readable storage medium storing computer instructions for causing a computer to execute a FMEA-MSR analysis method as described in the above embodiments.
Therefore, the failure mode meeting the preset conditions in the DFMEA, the failure reason and the failure result thereof can be brought into a structure tree of an FMEA-MSR page, and the selected measures are graded on the FMEA-MSR page to obtain an occurrence frequency F grade and a monitoring capacity M grade; re-identifying the most severe consequence of the failure mode according to the selected measure, determining a new severity S and determining a failure risk degree according to the new severity S, the F rating and the M rating; and determining an AP risk matrix according to the new severity S, the F rating and the M rating, marking a risk item to be optimized, adding an optimization measure to a failure mode and a failure reason of the risk item to be optimized, generating an optimization measure plan with clear responsibility authority, and finally automatically generating an FMEA-MSR report. Therefore, the failure mode meeting the preset conditions in the DFMEA, the failure reason and the failure result thereof automatically generate the FMEA-MSR structural content, the association of the DFMEA and the FMEA-MSR is realized, the potential failure under the customer operation condition and the influence result of a system and a vehicle are analyzed, the failure is found in the customer operation process, and the initial failure mode can be avoided through the degraded operation; and (4) fully utilizing the analysis result, and preventing risks influencing safety and regulatory compliance.
Additional aspects and advantages of the present application will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the present application.
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The above and/or additional aspects and advantages of the present application will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
FIG. 1 is a flow chart of a method for FMEA-MSR analysis according to an embodiment of the present application;
FIG. 2 is a schematic diagram of the switching operation of FMEA-MSR and DFMEA according to one embodiment of the present application;
FIG. 3 is a schematic illustration of a fault presentation according to one embodiment of the present application;
FIG. 4 is an exemplary diagram of manually adding causes of failure and failure modes, consequences to FMEA-MSR according to one embodiment of the present application;
FIG. 5 is a schematic illustration of a FMEA-MSR page frequency ranking according to one embodiment of the application;
FIG. 6 is a diagram illustrating an evaluation edit frequency rating for an incremental measure according to one embodiment of the present application;
FIG. 7 is a schematic diagram of generating a risk assignment matrix according to one embodiment of the present application;
FIG. 8 is a schematic diagram of marking optimized reasons for failure according to one embodiment of the present application;
FIG. 9 is a schematic diagram representing a completed optimization according to one embodiment of the present application;
FIG. 10 is an exemplary diagram of identifying an assessment after adding a diagnostic monitoring measure according to one embodiment of the present application;
FIG. 11 is an exemplary diagram of generating a FMEA-MSR report according to one embodiment of the application;
FIG. 12 is an exemplary diagram of an FMEA-MSR analysis device according to an embodiment of the present application;
fig. 13 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
Reference will now be made in detail to embodiments of the present application, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the drawings are exemplary and intended to be used for explaining the present application and should not be construed as limiting the present application.
Hereinafter, a method and an apparatus for FMEA-MSR analysis according to an embodiment of the present invention will be described with reference to the accompanying drawings, and first, a method for FMEA-MSR analysis according to an embodiment of the present invention will be described with reference to the accompanying drawings.
Specifically, fig. 1 is a schematic flow chart of an FMEA-MSR analysis method provided in an embodiment of the present application.
As shown in fig. 1, the FMEA-MSR analysis method includes the steps of:
in step S101, the failure mode satisfying the preset condition in the DFMEA, and the failure cause and the failure result thereof are brought into the structure tree of the FMEA-MSR page.
Wherein FMEA-MSR, i.e. the monitoring and system response, maintains functional safety by analyzing diagnostic Monitoring and System Response (MSR). The MSR comprises at least sensors, control units and drives and the monitoring and response of the system is achieved by software. Wherein the research object of FMEA-MSR may be a software system, an electronic system or an electromechanical system comprising at least one sensor, a control unit and an actuator, or a subset thereof. It analyzes the results regarding potential failures under customer operating conditions, and the impact on the system and vehicle by considering whether the system or driver has detected a failure; customer operations are to be understood as end-user operations, or service operations and maintenance operations, including vehicle driving, maintenance, repair, software upgrade, etc.; and failures are discovered during the operation of the client, the driver can be informed by switching to the degraded operation, and/or Diagnostic Trouble Codes (DTCs) can be written into the control unit to achieve the service purpose, thereby avoiding the initial failure mode.
It should be understood that the preset condition may be that the severity of the failure consequence S is 9/10, where the severity of the failure consequence may be obtained according to a scoring rule of the FMEA manual or a scoring rule within a company, and details are not described herein to avoid redundancy.
Specifically, as shown in fig. 2, the DFMEA and FMEA-MSR analysis interfaces can be switched by one key, and the embodiment of the present application can bring the failure mode satisfying the failure consequence severity S of 9/10, the failure cause thereof, and the failure consequence into the structure tree of the FMEA-MSR page.
For example, as shown in fig. 3, it can be seen from the ship main propulsion control system software that a rectifier fails and a CPU (Central Processing Unit) fails, where in the rectifier failure, the severity of failure consequence of propeller switch disconnection is 10, in the CPU failure, a frequency converter trips, and the severity of failure consequence of propeller stop is 9, and thus, in the embodiment of the present application, the propeller switch and the frequency converter trips, and the failure mode of propeller stop, and the failure cause and the failure consequence thereof may be brought into the structure tree of the FMEA-MSR page.
Optionally, in some embodiments, before being included in the structure tree of the FMEA-MSR page, the method further includes: receiving an adding instruction of a user; and acquiring the failure mode added in the DFMEA failure analysis table according to the adding instruction, the failure reason and the failure consequence thereof.
It is understood that the embodiments of the present application can also add the failure reason and failure mode and consequence to the structure tree of the FMEA-MSR page manually in the DFMEA failure analysis table.
That is, as shown in fig. 4, in the embodiment of the present application, the user is allowed to manually add to the FMEA-MSR for performing the supplementary analysis, and the failure mode and the consequence associated with the current failure cause after the manual addition are also added to the FMEA-MSR.
In step S102, grading the selected measures on an FMEA-MSR page to obtain an occurrence frequency F grade and a monitoring capacity M grade; the most severe consequence of the failure mode is re-identified according to the selected measures, a new severity S is determined and the failure risk level is determined according to the new severity S, F rating and the M rating.
Optionally, in some embodiments, the selected measures are rated on the FMEA-MSR page, including: and calling preset knowledge base content and/or preset scoring rules to analyze the severity, frequency and monitoring level of the selected measures.
It should be understood that the embodiment of the present application may automatically display the content in the knowledge base in a pop-up box when the FMEA-MSR page is subjected to frequency rating, diagnostic monitoring measures and system response measures are added, and may select by double-clicking in conjunction with fig. 5 and 6, so that the content of the knowledge base may be called, measures may be added, and the editing frequency rating (F) and the monitoring rating (M) may be evaluated. At the selected measure and the newly created measure, the selected measure may be ranked according to a scoring rule.
It should be noted that the risk analysis step is intended to assess the risk of failure by assessing severity, frequency and monitoring, and to prioritize the need to take risk-reducing measures.
In step S103, an AP risk matrix is determined according to the new severity S, F rating and the M rating, a risk item to be optimized is marked, an optimization measure is added to a failure mode of the risk item to be optimized and a failure cause thereof, an optimization measure plan with clear responsibility authority is generated, and after the validity of the optimization measure plan is verified, an FMEA-MSR report is automatically generated.
It can be understood that, as shown in fig. 7, the risk analysis page in the embodiment of the present application automatically generates a risk arrangement matrix, and can identify risk item tagging optimization. Moreover, the failure cause after the mark optimization is identified on the structure tree by different colors (such as yellow), as shown in fig. 8, the "internal fault (F: 5, m 5)" in the box is the content of the identification.
Optionally, in some embodiments, after marking the risk item to be optimized, further comprising: and synchronously marking the failure reason to be optimized on the structure tree.
That is, the embodiment of the present application may also allow assigning a responsible person to the optimization measure, planning a completion date, and modifying the status of the optimization measure, where the completed optimization measure is embodied as another color (e.g., green) base, as shown in a block in fig. 9.
Further, as shown in fig. 10, the embodiment of the present application may identify the most serious result that the failure mode may cause after the diagnostic monitoring measure is added, and evaluate the S value, as shown in fig. 11, the system may further automatically generate an FMEA-MSR report, may derive a PDF \ excel format, and support chinese and english.
According to the FMEA-MSR analysis method provided by the embodiment of the application, the failure mode meeting the preset conditions in the DFMEA, the failure reason and the failure consequence of the failure mode can be brought into a structure tree of an FMEA-MSR page, the selected measures are graded on the FMEA-MSR page, the editing frequency grade and the monitoring grade are obtained, the risk degree is determined, the priority sequence of the measures lower than the preset degree is generated according to the risk degree, the risk arrangement matrix is generated according to the priority sequence, the risk item mark is optimized, the optimization measures of the failure mode and the failure reason of the failure mode are generated, the most serious consequence of the failure mode is identified, and an FMEA-MSR report is generated. Therefore, the failure mode meeting the preset conditions in the DFMEA, the failure reason and the failure result thereof automatically generate the FMEA-MSR structural content, the association of the DFMEA and the FMEA-MSR is realized, the potential failure under the customer operation condition and the influence result of a system and a vehicle are analyzed, the failure is found in the customer operation process, and the initial failure mode can be avoided through the degraded operation; and the analysis result is fully utilized to prevent risks influencing safety and regulatory compliance.
Next, a FMEA-MSR analysis apparatus according to an embodiment of the present application will be described with reference to the accompanying drawings.
FIG. 12 is a block diagram of an FMEA-MSR analysis device according to an embodiment of the present application.
As shown in fig. 12, the FMEA-MSR analyzer 10 includes: an inlining module 100, a generating module 200 and an analyzing module 300.
The bringing-in module 100 is used for bringing a failure mode meeting a preset condition in the DFMEA, a failure reason and a failure result thereof into a structure tree of an FMEA-MSR page;
the generation module 200 is used for grading the selected measures on the FMEA-MSR page to obtain an occurrence frequency F grade and a monitoring capability M grade; re-identifying the most severe consequence of the failure mode according to the selected measure, determining a new severity S and determining a failure risk degree according to the new severity S, the F rating and the M rating;
the analysis module 300 is configured to determine an AP risk matrix according to the new severity S, the F rating, and the M rating, mark a risk item to be optimized, add an optimization measure to a failure mode of the risk item to be optimized and a failure cause thereof, generate an optimization measure plan with clear responsibility authority, and automatically generate an FMEA-MSR report after verifying validity of the optimization measure plan.
Optionally, in some embodiments, before being brought into the structure tree of the FMEA-MSR page, the bring-in module 100 is further configured to:
receiving an adding instruction of a user;
and acquiring the failure mode added in the DFMEA failure analysis table according to the adding instruction, the failure reason and the failure result thereof.
Optionally, in some embodiments, the generating module 200 is specifically configured to:
and calling preset knowledge base contents and/or preset scoring rules to analyze the severity, frequency and monitoring capability of the selected measures.
Optionally, in some embodiments, after marking the risk items to be optimized, the analysis module 300 is further for:
and synchronously marking failure reasons to be optimized on the structure tree.
It should be noted that the above explanation of the embodiment of the FMEA-MSR analysis method is also applicable to the FMEA-MSR analysis apparatus of this embodiment, and is not repeated here.
According to the FMEA-MSR analysis device provided by the embodiment of the application, the failure mode meeting the preset conditions in the DFMEA, the failure reason and the failure result of the DFMEA can be brought into the structure tree of the FMEA-MSR page, the selected measures are graded on the FMEA-MSR page, the editing frequency grade and the monitoring grade are obtained, the risk degree is determined, the priority sequence of the measures lower than the preset degree is generated according to the risk degree, the risk arrangement matrix is generated according to the priority sequence, the risk item mark is optimized, the optimization measures of the failure mode and the failure reason of the failure mode are generated, the most serious result of the failure mode is identified, and the FMEA-MSR report is generated. Therefore, the failure mode meeting the preset conditions in the DFMEA, the failure reason and the failure result thereof automatically generate the FMEA-MSR structural content, the association of the DFMEA and the FMEA-MSR is realized, the potential failure under the customer operation condition and the influence result of a system and a vehicle are analyzed, the failure is found in the customer operation process, and the initial failure mode can be avoided through the degraded operation; and the analysis result is fully utilized to prevent risks influencing safety and regulatory compliance.
Fig. 13 is a schematic structural diagram of an electronic device according to an embodiment of the present application. The electronic device may include:
The processor 1302, when executing the program, implements the FMEA-MSR analysis method provided in the above embodiments.
Further, the electronic device further includes:
a communication interface 1303 for communication between the memory 1301 and the processor 1302.
A memory 1301 for storing a computer program that is executable on the processor 1302.
If the memory 1301, the processor 1302, and the communication interface 1303 are implemented independently, the communication interface 1303, the memory 1301, and the processor 1302 may be connected to each other through a bus and perform communication with each other. The bus may be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, an Extended ISA (EISA) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one thick line is shown in FIG. 13, but this is not intended to represent only one bus or type of bus.
Optionally, in a specific implementation, if the memory 1301, the processor 1302, and the communication interface 1303 are integrated on one chip, the memory 1301, the processor 1302, and the communication interface 1303 may complete mutual communication through an internal interface.
The present embodiment also provides a computer readable storage medium having stored thereon a computer program, wherein the program, when executed by a processor, implements the FMEA-MSR analysis method as above.
In the description of the present specification, reference to the description of "one embodiment," "some embodiments," "an example," "a specific example," or "some examples" or the like means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present application. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or N embodiments or examples. Moreover, various embodiments or examples and features of various embodiments or examples described in this specification can be combined and combined by one skilled in the art without being mutually inconsistent.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of the present application, "N" means at least two, e.g., two, three, etc., unless explicitly defined otherwise.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more N executable instructions for implementing steps of a custom logic function or process, and alternate implementations are included within the scope of the preferred embodiment of the present application in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the embodiments of the present application.
The logic and/or steps represented in the flowcharts or otherwise described herein, e.g., an ordered listing of executable instructions that can be considered to implement logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or N wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium could even be paper or another suitable medium upon which the program is printed, as the program can be electronically captured, via for instance optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner if necessary, and then stored in a computer memory.
It should be understood that portions of the present application may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the N steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. If implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, and when the program is executed, the program includes one or a combination of the steps of the method embodiments.
In addition, functional units in the embodiments of the present application may be integrated into one processing module, or each unit may exist alone physically, or two or more units are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. The integrated module, if implemented in the form of a software functional module and sold or used as a separate product, may also be stored in a computer-readable storage medium.
The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc. While embodiments of the present application have been shown and described above, it will be understood that the above embodiments are exemplary and should not be construed as limiting the present application and that changes, modifications, substitutions and alterations in the above embodiments may be made by those of ordinary skill in the art within the scope of the present application.
Claims (6)
1. An FMEA-MSR analysis method is characterized by comprising the following steps:
receiving an adding instruction of a user; acquiring a failure mode added in the DFMEA failure analysis table according to the adding instruction, and failure reasons and failure results of the failure mode; the failure mode meeting the preset conditions in the DFMEA, the failure reason and the failure result are brought into a structure tree of an FMEA-MSR page;
re-identifying the most serious consequence of a failure mode according to the selected measure, determining a new severity S and determining the failure risk degree according to the new severity S, the F rating and the M rating;
determining an AP risk matrix according to the new severity S, the F rating and the M rating, marking a risk item to be optimized, and synchronously marking a failure reason to be optimized on the structural tree; and adding optimization measures to the failure mode of the risk item to be optimized and the failure reason thereof, generating an optimization measure plan with clear responsibility authority, and automatically generating an FMEA-MSR report after verifying the effectiveness of the optimization measure plan.
2. The method of claim 1, wherein ranking the selected measures on the FMEA-MSR page comprises:
and calling preset knowledge base content and/or preset scoring rules to analyze the severity, frequency and monitoring capability of the selected measures.
3. An FMEA-MSR analysis apparatus, comprising:
the carrying-in module is used for receiving an adding instruction of a user; acquiring a failure mode added in the DFMEA failure analysis table according to the adding instruction, and failure reasons and failure results of the failure mode; the failure mode meeting the preset conditions in the DFMEA, the failure reason and the failure result are brought into a structure tree of an FMEA-MSR page;
the generating module is used for grading the selected measures on the FMEA-MSR page to obtain an occurrence frequency F grade and a monitoring capability M grade, re-identifying the most serious consequence of the failure mode according to the selected measures, determining a new severity S, and determining the failure risk degree according to the new severity S, the F grade and the M grade;
the analysis module is used for determining an AP risk matrix according to the new severity S, the F rating and the M rating, marking risk items to be optimized, and synchronously marking failure reasons to be optimized on the structural tree; and adding optimization measures to the failure mode of the risk item to be optimized and the failure reason thereof, generating an optimization measure plan with clear responsibility authority, and automatically generating an FMEA-MSR report after verifying the effectiveness of the optimization measure plan.
4. The apparatus of claim 3, wherein the generating module is specifically configured to:
and calling preset knowledge base content and/or preset scoring rules to analyze the severity S, the frequency F and the monitoring capability M of the selected measures.
5. An electronic device, comprising: memory, processor and computer program stored on the memory and executable on the processor, the processor executing the program to implement the FMEA-MSR analysis method as claimed in any one of claims 1-2.
6. A computer readable storage medium having stored thereon a computer program, characterized in that the program is executed by a processor for implementing a FMEA-MSR analysis method according to any of claims 1-2.
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