JP2017151686A - Analysis data selection device and analysis data selection method - Google Patents

Abstract

PROBLEM TO BE SOLVED: To improve accuracy of reliability analysis of facilities.SOLUTION: An analysis data selection device 10 includes: a storage section 12 for storing inspection history data showing inspection data representing an inspection day and time of a component and inspection results and repair data representing a repair day and time of the component; and an analysis data selection section 130 that adopts inspection data of the component just before the repair as failure data for analysis data when inspection results just before repair of the component reaches predetermined repair standards and that adopts inspection data of the component just before the repair as non-failure data for analysis data when inspection results just before repair of the component does not reach the predetermined repair standards.SELECTED DRAWING: Figure 2

Description

  The present invention relates to an analysis data selection device and an analysis data selection method.

  In order to maintain a predetermined function in equipment and the like, confirmation of the state by inspection, replacement / repair, and the like are performed. The state of deterioration, failure, etc. of the target equipment revealed by inspection is recorded as inspection data. In particular, in the case of equipment that is frequently inspected or equipment that is used for a long period of time, if past inspection data is accumulated, the inspection data becomes time-series data, and the transition of the state of the equipment can be grasped. Such data may be used as analysis data for life determination and reliability analysis (see Non-Patent Document 1).

  In many cases, when the target equipment reaches a predetermined state (deterioration state, period of use, etc., hereinafter referred to as repair standards), repair / replacement (hereinafter referred to as repair) is performed. However, in reality, for some reason, repair may be performed at a stage before the repair standard.

  For example, when repairing a part 1 that has reached a repair standard occurring in a certain facility, repairing parts 2, 3, and 4 that do not meet the repair standard in the vicinity of the part 1 is also possible (hereinafter referred to as “repair standard”). This repair is referred to as an opportunity repair). At this time, if the inspection data is recorded for each part, the repaired parts 1, 2, 3, and 4 are recorded in the inspection history data, for example, “Repaired”.

Susumu Nakane, “Reliability Analysis of Plant Equipment for Sewage Treatment Plants-Cumulative Hazard Analysis of Equipment”, Journal of Sewerage Society 43 (522), pp95-102, 2006

  For example, in reliability analysis such as Weibull analysis, using the inspection history data as described above, calculating the average time for equipment parts to reach the repair standard may result in a time shorter than the true average time. is there. Thus, if a part inspection plan or the like is formulated with reference to the average time calculated as described above, the inspection cost may increase. Therefore, an object of the present invention is to solve the above-described problems and improve the accuracy of equipment reliability analysis.

  In order to solve the problems described above, the present invention provides a storage unit that stores inspection history data including inspection data indicating an inspection date and time and an inspection result of equipment, and repair data indicating a repair date and time of the equipment, and the inspection With reference to the history data, when the inspection result immediately before the repair of the equipment has reached a predetermined repair standard, the inspection data of the equipment immediately before the repair is adopted as analysis data in the analysis data, and An analysis data selection unit that adopts the inspection data of the equipment immediately before the repair as unfailed data in the analysis data when the inspection result immediately before the repair does not reach a predetermined repair standard. .

  According to the present invention, the accuracy of equipment reliability analysis can be improved.

FIG. 1 is a diagram illustrating an example of inspection history data. FIG. 2 is a functional block diagram of the analysis data selection device. FIG. 3 is a flowchart showing a procedure by which the analysis data selection device selects analysis data to be subjected to reliability analysis from inspection history data. FIG. 4 is a diagram illustrating a computer that executes an inspection data selection program.

  Hereinafter, embodiments (embodiments) for carrying out the present invention will be described with reference to the drawings. The present invention is not limited to this embodiment.

  In the following description, an example in which the object of inspection is a part constituting equipment such as a tunnel will be described. In addition, for the sake of brevity, it is assumed that the parts to be inspected are a large number of the same parts constituting the equipment, and these parts are constituted by a single same material or the like. In addition, depending on the installation location, this part may have a difference in the progress of deterioration for some reason.

  Here, the inspection history data handled by the analysis data selection device 10 of the present embodiment will be described. The inspection history data includes inspection data indicating the inspection date and time of the part and the inspection result (deterioration state) at the inspection date and time, and repair data indicating the repair date and time of the part.

  FIG. 1 shows an example of inspection history data. The inspection of parts shall be performed all at once according to a certain cycle, for example. Moreover, the deterioration rank which shows the deterioration state of components is set to A, B, C, D from the healthy one. Rank A indicates a state in which it is determined that there is no deterioration, and rank D is a state in which deterioration has progressed and repair should be performed promptly, that is, a state where the repair standard has been reached. When the part is repaired, a repaired flag (repair data) is recorded together with the repair date. Inspection and repair shall not be performed at the same time.

  The latest inspection is the m0 inspection, and the inspection i times before the latest inspection is the mi inspection. Parts that are determined to be D rank at the time of inspection are repaired promptly (at least until the next inspection) after the inspection, and return to the A rank state after the repair. Therefore, it is assumed that the D rank is not continuously recorded a plurality of times. In addition, unless repairs are made, the deterioration will surely progress to a bad state, and the inversion of the inspection history (for example, what was C rank in m1 inspection becomes B rank in subsequent m0 inspection) will occur. Make it not exist.

  The inspection history data of the part 1 in FIG. 1 shows a state where the m0 inspection result is D rank but has not been repaired yet. The inspection history data of the part 2 shows that the m1 inspection result is D rank, repaired thereafter, and returned to A rank at the time of m0 inspection, that is, the latest inspection. On the other hand, the inspection history data of the part 3 is the C rank in which the m1 inspection result is in the state before the repair standard, but the repaired flag is recorded thereafter, and the A rank is recorded in the next m0 inspection. In such a case, it is judged from the inspection history data whether the repair status was C rank but it was repaired by chance, or it deteriorated rapidly from the time of m1 inspection and was in the D rank status at the time of repair. Can not.

  Consider a case where reliability analysis is performed by Weibull analysis using such inspection history data. In the Weibull analysis, the latest inspection result (inspection data) is often used as analysis data from the recorded inspection history data of each part. However, as will be described later, the latest inspection result on the inspection history data may not always be appropriate as analysis data. In the Weibull analysis, the inspection data is classified into failure data (here, D rank) and non-failure data (also referred to as censored data; here, A to C rank) and adopted as analysis data.

  For example, in the Weibull analysis, in the case of the inspection history data of the part 1 shown in FIG. 1, the inspection data of the m0 inspection result is converted into the analysis data as the failure data. Adopt it. However, in the case of the inspection history data of the part 3, although a repaired flag is recorded, there is a possibility that the part has not been repaired according to the original repair standard. In such a case, it is not appropriate to use the inspection data of the m0 inspection result of the part 3 for the Weibull analysis. Therefore, as for the inspection history data of the part 3, it is necessary to determine at which point the inspection data is adopted as analysis data.

  Therefore, the analysis data selection device 10 selects which point of inspection data on the inspection history data should be adopted as analysis data. Further, the analysis data selection device 10 determines whether the inspection data adopted as analysis data is adopted as failure data or non-failure data.

(Constitution)
The configuration of the analysis data selection device 10 will be described with reference to FIG. The analysis data selection device 10 includes an input / output unit 11, a storage unit 12, and a control unit 13. The input / output unit 11 controls input / output of various data. For example, the input / output unit 11 receives input of inspection history data or outputs the result of the reliability analysis.

  The storage unit 12 stores various data for the control unit 13 to operate. The storage unit 12 stores the inspection history data, facility information, geographic information, various setting information for analysis, and the like.

  As described above, the inspection history data includes, for each part, inspection data indicating the inspection date and time of the part and the inspection result (deterioration state) at the inspection date and time, and repair data indicating the repair date and time of the part. This inspection history data is added and accumulated every time parts are inspected and repaired.

  The facility information is information indicating the specifications and model numbers of components used in the facility, the installation location of each component in the facility, and the like. The geographic information is information indicating the installation information of the equipment and the geographical information around the equipment. The various setting information for analysis is information indicating various setting information that is referred to when the analysis data selection unit 130 (described later) selects analysis data.

  The various setting information for analysis includes, for example, a rapid deterioration determination condition and a probability setting condition. The rapid degradation determination condition is information that is referred to when the analysis data selection unit 130 determines whether rapid degradation has occurred in a part. This rapid deterioration judgment condition is based on, for example, statistical information on the past inspection results of parts, conditions under which rapid deterioration has occurred or may occur (for example, the installation location of the parts, the equipment This is information indicating an installation area, component specifications, model number, and the like.

  The probability setting condition is information that is referred to when the analysis data selection unit 130 identifies a part that has rapidly deteriorated in the facility by a probability or a random value. For example, the probability setting condition includes a probability distribution applied by the analysis data selection unit 130 and a random value output method, and a component in which rapid deterioration has occurred by applying the probability distribution or random value to any equipment or component. This is information indicating whether or not to specify.

  Information in these storage units 12 is additionally accumulated or updated if there is new information.

  The control unit 13 controls the entire analysis data selection device 10. The control unit 13 includes an analysis data selection unit 130, a reliability analysis unit 136, an analysis result recording unit 137, and a display unit 138.

  The analysis data selection unit 130 selects analysis data to be subjected to reliability analysis in the reliability analysis unit 136 from the inspection history data. That is, the analysis data selection unit 130 determines which inspection date and time of the inspection history data is to be adopted as analysis data in the reliability analysis. In addition, the analysis data selection unit 130 determines whether to employ the inspection data as failure data or non-failure data when the inspection data is employed as analysis data. Details of the analysis data selection unit 130 will be described later.

  The reliability analysis unit 136 performs reliability analysis using inspection data (failure data and non-failure data) adopted as analysis data by the analysis data selection unit 130. The reliability analysis here is performed by the above-described Weibull analysis, for example.

  The analysis result recording unit 137 records the result of the reliability analysis by the reliability analysis unit 136 in the storage unit 12. Note that the analysis result recording unit 137 may record information related to the reliability analysis process in addition to the reliability analysis result.

  The display unit 138 displays the result of the reliability analysis and the analysis process on a display device (not shown) via the input / output unit 11.

  The analysis data selection unit 130 will be described in detail. The analysis data selection unit 130 includes an inspection result determination unit 131, a rapid deterioration determination unit 132, and an analysis data selection processing unit 135.

  The inspection result determination unit 131 refers to the inspection history data and determines whether or not a repaired flag is recorded in the inspection data of the parts that are candidates for analysis data. Moreover, the inspection result determination part 131 determines whether the inspection result of components has reached the repair reference | standard, when the repair completion flag is recorded on the said inspection data.

  The rapid deterioration determination unit 132 refers to the inspection history data to determine whether or not rapid deterioration has occurred in the part. The rapid deterioration determination unit 132 includes a rapid deterioration determination processing unit 133 and a probability setting unit 134.

  The rapid deterioration determination processing unit 133 refers to the rapid deterioration determination condition in the various setting information for analysis and the inspection history data to determine whether or not rapid deterioration has occurred in the part. For example, the rapid deterioration determination processing unit 133 refers to the rapid deterioration determination condition in the various setting information for analysis and the inspection history data, and whether or not rapid deterioration has occurred in the equipment after the inspection immediately before the repair of the part. Determine whether. Further, when the rapid deterioration determination processing unit 133 cannot determine whether or not rapid deterioration has occurred in a part, whether or not rapid deterioration has occurred in the part by using a predetermined probability distribution or a random value is used. Determine.

  For example, the rapid deterioration determination processing unit 133 determines that there is a possibility that rapid deterioration has occurred in any part of the equipment including the part based on the rapid deterioration determination condition, facility information, geographic information, and the like. In the case where the part in which the failure has occurred cannot be identified, the part in which the rapid degradation has occurred in the facility is identified using a predetermined probability distribution or a random value set by the probability setting unit 134. Then, the rapid deterioration determination processing unit 133 determines that rapid deterioration has occurred for the specified part among the parts of the facility, and determines that rapid deterioration has not occurred for parts other than the specified part. To do.

  The probability setting unit 134 sets a probability distribution used in the rapid deterioration determination processing unit 133, a random value output method, and the like based on the probability setting conditions in the various setting information for analysis.

  Based on the determination result by the inspection result determination unit 131 and the determination result by the rapid deterioration determination unit 132, the analysis data selection processing unit 135 employs inspection data at which inspection date and time among the inspection history data as analysis data in the reliability analysis. Select. The analysis data selection processing unit 135 determines whether to employ the inspection data as failure data or non-failure data when the inspection data is employed as analysis data.

  For example, when the inspection result determination unit 131 determines that the inspection result immediately before the repair of the part has reached a predetermined repair standard, the analysis data selection processing unit 135 obtains the inspection data of the part immediately before the repair. Adopt to analysis data as failure data. In addition, when the inspection result determination unit 131 determines that the inspection result immediately before the repair of the part does not reach the predetermined repair standard, the rapid deterioration determination unit 132 causes the rapid deterioration immediately before the repair of the part. Is determined, the analysis data selection processing unit 135 employs the inspection data of the part as failure data in the analysis data. On the other hand, when it is determined by the rapid deterioration determination unit 132 that rapid deterioration has not occurred immediately before the repair of the part, the analysis data selection processing unit 135 adopts the inspection data of the part as unfailed data in the analysis data. To do. Details of the analysis data selection processing unit 135 will be described later using a flowchart.

  The analysis data selection processing unit 135 stores analysis data determination results (inspection data employed as analysis data and whether the inspection data is failure data or non-failure data) in a predetermined area of the storage unit 12. The determination result of the analysis data is used for reliability analysis by the reliability analysis unit 136. The analysis data determination result may include data indicating a process until the analysis data selection processing unit 135 adopts the analysis data.

(Processing procedure)
Next, a procedure in which the analysis data selection device 10 selects analysis data to be subjected to reliability analysis from the inspection history data will be described with reference to FIG.

  First, when the inspection result determination unit 131 of the analysis data selection device 10 acquires inspection history data of a part that is a candidate for analysis data to be subjected to reliability analysis, whether or not there is a repaired flag in the inspection history data. Is determined (S101).

  In S101, when there is no repaired flag (No in S101), the inspection result determination unit 131 confirms that the m0 inspection data which is the latest inspection result in the inspection history data has reached the repair standard (for example, whether it is the above-mentioned D rank). It is determined whether or not (S102). If the repair standard has been reached (Yes in S102), the analysis data selection processing unit 135 adopts the m0 inspection data of the part as failure data in the analysis data (S103). On the other hand, if the repair standard has not been reached (No in S102), the analysis data selection processing unit 135 employs the m0 inspection data of the part as unfailed data in the analysis data (S104).

  When there is a repaired flag in S101 (Yes in S101), the inspection result determination unit 131 determines whether the inspection result indicated by the inspection data immediately before the latest repaired flag has reached the repair standard ( S105). If the inspection result indicated by the inspection data immediately before the latest repaired flag has reached the repair standard (Yes in S105), the inspection data is adopted as failure data in the analysis data (S106).

  In addition, when the inspection result indicated by the inspection data immediately before the latest repaired flag in S105 does not reach the repair standard (No in S105), the analysis data selection processing unit 135 determines whether to adopt the analysis data. It is determined whether or not rapid degradation is considered (S107). This determination is made depending on whether or not the various setting information for analysis in the storage unit 12 is set to take into account rapid deterioration of parts when determining the use of analysis data. In S107, when the analysis data selection processing unit 135 determines that the rapid deterioration of the component is not considered in determining the adoption of the analysis data (No in S107), the analysis data selection processing unit 135 sets the latest repaired flag. The immediately preceding inspection data is adopted as analysis data as unfailed data (S114).

  On the other hand, when the analysis data selection processing unit 135 determines that the rapid deterioration of the component is considered in determining the adoption of the analysis data (Yes in S107), the rapid deterioration determination processing unit 133 rapidly deteriorates the equipment including the component. It is determined whether or not there is a possibility of occurrence (S108). For example, the rapid deterioration determination processing unit 133 refers to the rapid deterioration determination condition in the various setting information for analysis, and determines whether or not there is a possibility that rapid deterioration has occurred in the equipment including the part.

  When the rapid deterioration determination processing unit 133 determines that there is a possibility that rapid deterioration has occurred in the equipment including the component (Yes in S108), the rapid deterioration determination processing unit 133 determines whether the rapid deterioration determination processing unit 133 has With reference to the deterioration determination condition, it is determined whether or not a component that rapidly deteriorates in the facility can be identified (S109). On the other hand, when the rapid degradation determination processing unit 133 determines that there is no possibility that rapid degradation has occurred in the equipment including the part (No in S108), the analysis data selection processing unit 135 immediately precedes the latest repaired flag. The inspection data is adopted as analysis data as unfailed data (S114).

  In S109, when it is determined that the rapid deterioration determination processing unit 133 can identify a component that rapidly deteriorates in the facility (Yes in S109), the rapid deterioration determination processing unit 133 specifies a component that rapidly deteriorates in the facility, The analysis data selection processing unit 135 considers that the identified part has failed with the latest repaired flag recording date and adopts it as failure data (S113).

  On the other hand, if the rapid deterioration determination processing unit 133 determines that a part that rapidly deteriorates in the facility cannot be specified (No in S109), whether or not to specify a part that has rapidly deteriorated based on a predetermined probability distribution or a random value. Is determined (S110).

  For example, the rapid deterioration determination processing unit 133 refers to the probability setting condition and facility information of the various setting information for analysis in S110, and the rapid deterioration occurs by applying a predetermined probability distribution or a random value for the facility. It is determined whether or not a part is specified.

  Here, when it is determined that the rapid deterioration determination processing unit 133 specifies a part in which rapid deterioration has occurred based on a predetermined probability distribution or a random value (Yes in S110), the rapid deterioration determination processing unit 133 causes the probability setting unit 134 to A part in which rapid deterioration has occurred is specified based on the set predetermined probability distribution or random value (S111). Here, when the component currently processed by the analysis data selection processing unit 135 is identified as a component that has rapidly deteriorated in S111 (Yes in S112), the analysis data selection processing unit 135 determines that the identified component is The latest repaired flag recording date / time is regarded as a failure and is adopted as failure data (S113).

  On the other hand, in S112, if the component currently processed by the analysis data selection processing unit 135 is not identified as a component that has rapidly deteriorated (No in S112), the analysis data selection processing unit 135 has the latest repair completed. The inspection data immediately before the flag is adopted as unfailed data in the analysis data (S114).

  In S110, when it is determined that the rapid deterioration determination processing unit 133 does not identify a part that has rapidly deteriorated in the facility based on a predetermined probability distribution or a random value (No in S110), the analysis data selection processing unit 135 Adopts the inspection data immediately before the latest repaired flag in the analysis data as unfailed data (S114).

  When the analysis data selection device 10 performs the above processing, the inspection data at which point on the part inspection history data should be adopted as analysis data, and the inspection data adopted as analysis data should be adopted as failure data It can be accurately determined whether the data should be adopted as non-failure data. As a result, the analysis data selection device 10 can improve the calculation accuracy such as the failure probability of the facility in the reliability analysis of the facility, rather than simply using the latest inspection result (m0 inspection data).

(Other embodiments)
Note that the determination in S107, S108, S109, and S110 in FIG. 3 may be determined by the operator of the analysis data selection device 10. Moreover, although the above-described inspection history data is the inspection history data of parts, it may be inspection history data of equipment.

(program)
Further, it can be implemented by installing a program for realizing the function of the analysis data selection apparatus 10 described in each embodiment in a desired information processing apparatus (computer). For example, the information processing apparatus can function as the analysis data selection apparatus 10 by causing the information processing apparatus to execute the program provided as package software or online software. The information processing apparatus referred to here includes a desktop or notebook personal computer. In addition, the information processing apparatus includes mobile communication terminals such as smartphones, mobile phones and PHS (Personal Handyphone System), and straight terminals such as PDA (Personal Digital Assistants). Further, the analysis data selection device 10 may be implemented as a Web server or a cloud.

  An example of a computer that executes the analysis data selection program will be described below. As shown in FIG. 4, the computer 1000 includes, for example, a memory 1010, a CPU (Central Processing Unit) 1020, a hard disk drive interface 1030, a disk drive interface 1040, a serial port interface 1050, a video adapter 1060, a network Interface 1070. These units are connected by a bus 1080.

  The memory 1010 includes a ROM (Read Only Memory) 1011 and a RAM (Random Access Memory) 1012. The ROM 1011 stores a boot program such as BIOS (Basic Input Output System). The hard disk drive interface 1030 is connected to the hard disk drive 1090. The disk drive interface 1040 is connected to the disk drive 1100. A removable storage medium such as a magnetic disk or an optical disk is inserted into the disk drive 1100, for example. For example, a mouse 1110 and a keyboard 1120 are connected to the serial port interface 1050. For example, a display 1130 is connected to the video adapter 1060.

  Here, as shown in FIG. 4, the hard disk drive 1090 stores, for example, an OS 1091, an application program 1092, a program module 1093, and program data 1094. Various data described in the above embodiment is stored in, for example, the hard disk drive 1090 or the memory 1010.

  Then, the CPU 1020 reads out the program module 1093 and the program data 1094 stored in the hard disk drive 1090 to the RAM 1012 as necessary, and executes the above-described procedures.

  The program module 1093 and the program data 1094 related to the analysis data selection program are not limited to being stored in the hard disk drive 1090. For example, the program module 1093 and the program data 1094 are stored in a removable storage medium and are stored in the removable storage medium by the CPU 1020 via the disk drive 1100 or the like. It may be read out. Alternatively, the program module 1093 and the program data 1094 related to the analysis data selection program are stored in another computer connected via a network such as a LAN (Local Area Network) or a WAN (Wide Area Network), and the network interface 1070 is stored. Via the CPU 1020.

DESCRIPTION OF SYMBOLS 10 Analysis data selection apparatus 11 Input / output part 12 Storage part 13 Control part 130 Analysis data selection part 131 Inspection result determination part 132 Rapid degradation determination part 133 Rapid degradation determination processing part 134 Probability setting part 135 Analysis data selection processing part 136 Reliability analysis Section 137 Analysis result recording section 138 Display section

Claims (7)

A storage unit for storing inspection history data including inspection data indicating the inspection date and time and the inspection result of the equipment, and repair data indicating the repair date and time of the equipment;
With reference to the inspection history data, when the inspection result immediately before the repair of the facility has reached a predetermined repair standard, the inspection data of the facility immediately before the repair is adopted as analysis data as analysis data, When the inspection result immediately before the repair of the equipment does not reach the predetermined repair standard, the analysis data selection unit that adopts the inspection data of the facility immediately before the repair as analysis data to the analysis data,
An analysis data selection device comprising: The analysis data selection device includes:
Based on the past inspection results of the equipment, further comprising a rapid deterioration determination unit that determines whether or not rapid deterioration has occurred in the equipment after the inspection immediately before the repair,
The analysis data selection unit
If the inspection result immediately before the repair of the equipment does not reach a predetermined repair standard, but the rapid deterioration determination unit determines that rapid deterioration has occurred in the equipment after the inspection immediately before the repair, When failure data that the equipment considers to have failed at the repair date and time of the repair is adopted as analysis data, and the rapid degradation determination unit determines that rapid degradation does not occur in the facility after the inspection immediately prior to the repair The analysis data selection device according to claim 1, wherein the inspection data of the equipment immediately before the repair is adopted as analysis data as unfailed data. When the rapid degradation determination unit can identify a part in which rapid degradation has occurred in the facility based on the past inspection result of the facility,
The analysis data selection unit
The rapid deterioration determination unit adopts failure data, which is regarded as a failure at the repair date and time of the part identified as having undergone rapid deterioration after inspection immediately before repair of the equipment, as analysis data. The analysis data selection device according to claim 2. The rapid deterioration determination unit
Based on the past inspection results of the equipment, if it is not possible to identify the parts that have rapidly deteriorated in the equipment, identify the parts that have rapidly deteriorated in the equipment by using a predetermined probability distribution or a random value,
The analysis data selection unit
The rapid deterioration determination unit adopts failure data, which is regarded as a failure at the repair date and time of the part identified as having undergone rapid deterioration after inspection immediately before repair of the equipment, as analysis data. The analysis data selection device according to claim 2. The analysis data selection unit
When it is determined that there is no repair data for the equipment with reference to the inspection history data, when the latest inspection result for the equipment reaches a predetermined repair standard, the latest inspection data for the equipment is determined as failure data. In the analysis data, when the latest inspection result of the equipment does not reach a predetermined repair standard, the latest inspection data of the equipment is adopted as failure data in the analysis data. The analytical data selection device described.   6. The apparatus according to claim 1, further comprising a reliability analysis unit that performs a reliability analysis of the facility using the failure data and the non-failure data adopted as the analysis data by the analysis data selection unit. The analysis data selection device according to any one of the above. Obtaining inspection history data including inspection data indicating the inspection date and time of the equipment and inspection results, and repair data indicating the repair date and time of the equipment;
With reference to the inspection history data, when the inspection result immediately before the repair of the facility has reached a predetermined repair standard, the inspection data of the facility immediately before the repair is adopted as analysis data as analysis data, If the inspection result immediately before the repair of the equipment does not reach a predetermined repair standard, the inspection data of the equipment immediately before the repair is adopted as analysis data as unfailed data; and
The analysis data selection method characterized by including.

Images