Health evaluation method of power plant operation equipment and related device

Abstract

The invention discloses a health evaluation method of power plant operation equipment and a related device, and belongs to the technical field of equipment operation evaluation. The method comprises the following steps: obtaining a health evaluation system according to each operating device of a power plant, determining each index weight in the health evaluation system, and constructing a health evaluation model of the operating devices of the power plant; acquiring historical data of each operation device of the power plant and performing standardization processing to obtain standardized historical data; and inputting the standardized historical data into a health evaluation model of the power plant operation equipment to obtain a health evaluation coefficient of the power plant operation equipment. The health evaluation coefficient of the power plant operation equipment is output through the health evaluation model of the power plant operation equipment, and comprehensive and accurate evaluation of the health of the power plant operation equipment is realized. And powerful support can be provided for full-life-cycle management of power plant operation equipment.

Description

TECHNICAL FIELD

[0001] The present application belongs to the technical field of equipment operation evaluation, and relates to a health evaluation method for power plant operation equipment and a related device. BACKGROUND

[0002] In the modern power industry system, power plants, as the core hub of energy conversion and supply, their stable and efficient operation is directly related to the normal order of social production and life and the security of energy supply. Power plant operation equipment covers many key facilities such as boilers, steam turbines, generators, transformers, various pumps and fans, etc. These devices are continuously operated under complex and harsh conditions such as high temperature, high pressure, high speed, strong electromagnetic field, etc., and long-term bear the interaction of mechanical stress, thermal stress, electrical stress and chemical corrosion, etc. The performance of the equipment will inevitably deteriorate with the accumulation of running time, and the risk of failure will also increase.

[0003] The health status of power plant operation equipment directly determines the continuity and reliability of power production. Once the key equipment fails, not only will the unit shut down, but it may even cause a power outage accident in the entire power plant, and then cause a large area of power supply interruption, causing great losses to industrial production, commercial operation and residents' life.

[0004] Traditional equipment maintenance methods mainly include two modes of post-maintenance and regular maintenance. Post-maintenance is to repair the equipment after it fails. Although this method has lower maintenance cost in the early stage, the shutdown loss caused by equipment failure, equipment damage repair cost and possible secondary disaster loss are often very huge. Regular maintenance is to overhaul the equipment according to the predetermined time interval, regardless of the actual operating condition of the equipment, a large amount of manpower, material resources and financial resources will be invested in maintenance work, which is easy to cause over-maintenance and increase unnecessary maintenance cost. Compared with the above two methods, the condition-based maintenance (CBM) mode based on equipment health evaluation can accurately determine the maintenance time and content according to the actual health status of the equipment, and timely intervene when the equipment shows signs of failure, which not only avoids the huge loss caused by post-maintenance, but also reduces the over-maintenance phenomenon in regular maintenance, thereby effectively reducing the maintenance cost of the equipment throughout its life cycle.

[0005] Most of the existing equipment health evaluation methods focus on a single aspect of the index, ignoring the integrity of the equipment as a complex system and the interrelation between the parts. This single-index evaluation method is easy to cause misjudgment and omission of the equipment health status, and cannot comprehensively and accurately reflect the actual health level of the equipment. Therefore, there is an urgent need for a comprehensive, comprehensive and accurate evaluation system to meet the needs of modern power plant equipment health management. SUMMARY

[0006] The present application aims to provide a health evaluation method and related device of power plant operation equipment, so as to solve the technical problem that the prior art mainly focuses on the health evaluation of an index in a certain aspect, and cannot comprehensively and accurately reflect the actual health level of the equipment.

[0007] To achieve the above-mentioned purpose, the present application adopts the following technical solutions:

[0008] In a first aspect, the present application provides a health evaluation method of power plant operation equipment, comprising the following steps:

[0009] According to the health evaluation system of each operation equipment of the power plant, the weight of each index in the health evaluation system is determined, and a health evaluation model of the operation equipment of the power plant is constructed;

[0010] The historical data of each operation equipment of the power plant is obtained and standardized, and the standardized historical data is obtained;

[0011] The standardized historical data is input into the health evaluation model of the operation equipment of the power plant, and the health evaluation coefficient of the operation equipment of the power plant is obtained.

[0012] Further, the step of obtaining the health evaluation system according to each operation equipment of the power plant, determining the weight of each index in the health evaluation system, and constructing the health evaluation model of the operation equipment of the power plant, specifically comprises:

[0013] The interaction relationship and potential law between the health of the equipment and the construction of power generation and the operation cost are analyzed, and the health evaluation system is obtained;

[0014] Each index in the health evaluation system is converted into a principal component which is not related to each other, and the variance contribution rate of each principal component is calculated; the calculation formula of the variance contribution rate of the kth principal component is:

[0015]

[0016] In the formula, λ k is the kth eigenvalue, representing the variance of the principal component;

[0017] The original index is inversely mapped, and the principal component loading matrix L is extracted; each element l kj of the principal component loading matrix L represents the correlation between the jth original index and the kth principal component, and the specific calculation formula is:

[0018]

[0019] In the formula, v kj is the jth component of the eigenvector;

[0020] The weight of each health evaluation index is calculated according to the variance contribution rate of each principal component and the loading matrix, and the specific calculation formula is:

[0021]

[0022] In the formula, w j represents the weight of the jth index;

[0023] Based on the health evaluation indexes and the weights, a health evaluation model of the power plant operation equipment is constructed.

[0024] Further, the health evaluation system comprises a target layer, a criterion layer and an index layer connected in sequence; the criterion layer comprises general equipment and power generation equipment; the indexes corresponding to the general equipment in the index layer comprise mean time between failures, availability, mean time to repair, mean time between failures and failure rate; the indexes corresponding to the power generation equipment in the index layer comprise availability coefficient, unplanned outage coefficient, equivalent availability coefficient, forced outage rate and unplanned outage times.

[0025] Further, the calculation formula of the mean time between failures is:

[0026]

[0027] In the formula, MTTF represents the mean time between failures; ∑t represents the total running time of the equipment in the period; N failures represents the number of failures of the equipment in a period;

[0028] The calculation formula of the availability is:

[0029]

[0030] In the formula, availability represents the availability; MTBF represents the mean time between failures; MTTR represents the mean time to repair;

[0031] The calculation formula of the mean time to repair is:

[0032]

[0033] In the formula, MTTR represents the mean time to repair; ∑t repair represents the total repair time of the equipment in the period; N represents the number of failures of the equipment in a period;

[0034] The calculation formula of the mean time between failures is:

[0035]

[0036] N represents the number of failures of the equipment in a period of time; ∑t represents the total running time of the equipment in the period of time;

[0037] The calculation formula of the failure rate is:

[0038]

[0039] λ represents the failure rate.

[0040] Further, the calculation formula of the available coefficient is:

[0041]

[0042] AF represents the available coefficient; AH represents the available time; PH represents the total time; SH represents the running time; and RH represents the standby time.

[0043] The calculation formula of the unscheduled outage coefficient is:

[0044]

[0045] UOF represents the unscheduled outage coefficient; UOH represents the time during which the equipment cannot run due to unscheduled downtime.

[0046] The calculation formula of the equivalent available coefficient is:

[0047]

[0048] EUF represents the equivalent available coefficient; EUNDH represents the equivalent reduced power hours; ESDH represents the equivalent seasonal reduced power hours of the unit; D i represents the number of times of reduced power of the unit in the statistical period; T i represents the running and standby time of each time of reduced power;

[0049] The calculation formula of the forced outage rate is:

[0050]

[0051] FOR represents the forced outage rate; FOH represents the time during which the equipment is stopped due to failure or other unscheduled factors.

[0052] Further, the step of obtaining historical data of each running equipment of the power plant and performing standardized processing to obtain standardized historical data specifically includes:

[0053] The historical data of each running equipment of the power plant is obtained and standardized processing is performed to eliminate dimensional differences;

[0054] The data after eliminating dimensional differences is subjected to outlier elimination, and then missing value filling is performed to obtain standardized historical data.

[0055] Further, the outlier elimination process adopts Z-Score method or interquartile range method.

[0056] In the second aspect, the present application provides a health evaluation system of power plant operation equipment, comprising:

[0057] A model construction module is configured to obtain a health evaluation system according to each operation equipment of the power plant, determine the weight of each index in the health evaluation system, and construct a health evaluation model of the operation equipment of the power plant.

[0058] A data processing module is configured to obtain historical data of each operation equipment of the power plant and perform standardization processing to obtain standardized historical data.

[0059] An evaluation module is configured to input the standardized historical data into the health evaluation model of the operation equipment of the power plant to obtain a health evaluation coefficient of the operation equipment of the power plant.

[0060] In the third aspect, the present application provides a computer device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the health evaluation method of the operation equipment of the power plant when executing the computer program.

[0061] In the fourth aspect, the present application provides a computer readable storage medium, wherein the computer readable storage medium stores a computer program, and the computer program is executable by a processor to implement the steps of the health evaluation method of the operation equipment of the power plant.

[0062] Compared with the prior art, the present application has the following beneficial effects:

[0063] The present application discloses a health evaluation method and related device of power plant operation equipment, which constructs a health evaluation system according to the actual characteristics of each operation equipment of the power plant, and can comprehensively cover the key factors affecting the health state in the equipment operation process. Then, the weight of each index in the health evaluation system is determined to construct a health evaluation model of the operation equipment of the power plant. The obtained historical data of each operation equipment of the power plant is subjected to standardization processing, which can eliminate the influence of different dimensions and orders of magnitude on the data. The health evaluation coefficient of the operation equipment of the power plant is output through the health evaluation model of the operation equipment of the power plant to realize comprehensive and accurate evaluation of the health of the operation equipment of the power plant. BRIEF DESCRIPTION OF DRAWINGS

[0064] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following will briefly introduce the drawings needed to be used in the embodiments. It should be understood that the following drawings only show some of the embodiments of the present application, and therefore should not be regarded as a limitation on the scope, and for those skilled in the art, other related drawings can also be obtained without creative labor.

[0065] Figure 1 The flow chart of the method of the present application;

[0066] Figure 2 The principle diagram of the system of the present application;

[0067] Figure 3 The structural schematic diagram of the health evaluation system of the embodiment of the present application;

[0068] Figure 4 The structural schematic diagram of the computer equipment of the present application. DETAILED DESCRIPTION

[0069] The present application will be described in detail below with reference to the drawings and in combination with the embodiments. It should be noted that the embodiments in the present application and the features in the embodiments can be combined with each other without conflict.

[0070] The following detailed description is exemplary description, which aims to provide further detailed description of the present application. Unless otherwise specified, all technical terms used in the present application have the same meaning as that generally understood by the general technical personnel in the field to which the present application belongs. The terms used in the present application are only for the purpose of describing the specific embodiments, and are not intended to limit the exemplary embodiments according to the present application.

[0071] Referring to Figure 1 The embodiment of the present application discloses a health evaluation method of power plant operation equipment, comprising the following steps:

[0072] S1, obtaining a health evaluation system according to each operation equipment of the power plant, determining the weight of each index in the health evaluation system, and constructing a health evaluation model of the power plant operation equipment;

[0073] S101, obtaining a health evaluation system by analyzing the interaction and potential law between the equipment health and the power generation construction and the operation cost;

[0074] S102, converting each index in the health evaluation system into a principal component which is not related to each other, and calculating the variance contribution rate of each principal component; the calculation formula of the variance contribution rate of the kth principal component is:

[0075]

[0076] In the formula, λ kis the variance of the kth principal component;

[0077] S103, the original index is reversely mapped, and a principal component load matrix L is extracted; each element l of the principal component load matrix L kj represents the correlation between the jth original index and the kth principal component, and the specific calculation formula is:

[0078]

[0079] In the formula, v kj is the jth component of the eigenvector;

[0080] S104, the weight of each health evaluation index is calculated by combining the variance contribution rate of each principal component and the load matrix, and the specific calculation formula is:

[0081]

[0082] In the formula, w j represents the weight of the jth index;

[0083] S105, based on the health evaluation indexes and their weights, a health evaluation model of the power plant operation equipment is constructed.

[0084] S2, historical data of each operation equipment of the power plant is obtained and standardized to obtain standardized historical data;

[0085] S201, historical data of each operation equipment of the power plant is obtained, and standardized to eliminate dimensional differences; and the data after standardized treatment has similar distribution characteristics and numerical range, which can make the model converge to the optimal solution faster, improve the generalization ability of the model, and enable it to give accurate evaluation results when facing new and unseen data.

[0086] S202, the data after eliminating dimensional differences is subjected to outlier rejection, and then subjected to missing value filling to obtain standardized historical data. In the process of operation of the power plant equipment, due to factors such as sensor failure, data acquisition system abnormality, external interference, etc., there may be abnormal values in the collected historical data. These abnormal values will seriously deviate from the normal data distribution range, and mislead the equipment health evaluation. Through the outlier rejection method such as Z-Score method or interquartile range method, these abnormal values can be effectively identified and rejected, the data noise is reduced, the data more truly reflects the actual operation state of the equipment, and the reliability of the equipment health evaluation is improved.

[0087] S3, the standardized historical data is input into the health evaluation model of the power plant operation equipment to obtain the health evaluation coefficient of the power plant operation equipment.

[0088] The application can accurately evaluate the health state of power plant operation equipment. In the equipment operation stage, the change trend of the health evaluation coefficient is continuously monitored, the performance degradation signs of the equipment can be found in time, the reasonable preventive maintenance plan is made, and the service life of the equipment is prolonged. In the equipment scrap stage, the residual value of the equipment is evaluated according to the health evaluation coefficient, and the scientific basis for the equipment replacement is provided.

[0089] Referring to Figure 3 In a feasible embodiment of the application, the health evaluation system comprises a target layer, a criterion layer and an index layer connected in sequence; the criterion layer comprises general equipment and power generation equipment; the corresponding indexes of the general equipment in the index layer comprise mean time between failures, availability, mean time to repair, mean time between failures and failure rate; the corresponding indexes of the power generation equipment in the index layer comprise availability coefficient, unplanned outage coefficient, equivalent availability coefficient, forced outage rate and unplanned outage times.

[0090] The calculation formula of the mean time between failures is:

[0091]

[0092] In the formula, MTTF represents the mean time between failures; ∑t represents the total running time of the equipment in the period; N represents the number of failures of the equipment in the period. failures

[0093] The calculation formula of the availability is:

[0094]

[0095] In the formula, availability represents the availability; MTBF represents the mean time between failures; MTTR represents the mean time to repair.

[0096] The calculation formula of the mean time to repair is:

[0097]

[0098] In the formula, MTTR represents the mean time to repair; ∑t represents the total repair time of the equipment in the period; N represents the number of failures of the equipment in the period. repair

[0099] The calculation formula of the mean time between failures is:

[0100]

[0101] In the formula, N represents the number of failures of the equipment in the period; ∑t represents the total running time of the equipment in the period.

[0102] ​​The calculation formula of the failure rate is:

[0103]

[0104] In the formula, λ represents the failure rate.

[0105] The calculation formula of the available coefficient is:

[0106]

[0107] In the formula, AF represents the available coefficient; AH represents the available time; PH represents the total time; SH represents the running time; and RH represents the standby time.

[0108] The calculation formula of the unplanned outage coefficient is:

[0109]

[0110] In the formula, UOF represents the unplanned outage coefficient; UOH represents the time during which the equipment cannot run due to unplanned shutdown;

[0111] The calculation formula of the equivalent available coefficient is:

[0112]

[0113] In the formula, EUF represents the equivalent available coefficient; EUNDH represents the equivalent reduced power hours; ESDH represents the equivalent seasonal reduced power hours of the unit; D i represents the number of times of reduced power of the unit in the statistical period; T i represents the running and standby time of each time of reduced power;

[0114] The calculation formula of the forced outage rate is:

[0115]

[0116] In the formula, FOR represents the forced outage rate; FOH represents the time during which the equipment is shut down due to failure or other non-planned factors.

[0117] Referring to Figure 2 The embodiment of the present application discloses a health evaluation system for power plant operation equipment, characterized by comprising a model construction module, a data processing module and an evaluation module.

[0118] The model building module is used to obtain a health evaluation system based on the health evaluation system of each operating equipment in the power plant, determine the weight of each indicator in the health evaluation system, and construct a health evaluation model for the operating equipment of the power plant; the data processing module is used to acquire historical data of each operating equipment in the power plant and perform standardization processing to obtain standardized historical data; the evaluation module is used to input the standardized historical data into the health evaluation model of the operating equipment of the power plant to obtain the health evaluation coefficient of the operating equipment of the power plant.

[0119] In one embodiment of the invention, see [link to embodiment]. Figure 4 A computer device is provided, comprising a processor and a memory. The memory stores a computer program, which includes program instructions. The processor executes the program instructions stored in the computer storage medium. The processor may be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. It is the computing and control core of the terminal, suitable for implementing one or more instructions, specifically suitable for loading and executing one or more instructions from the computer storage medium to achieve a corresponding method flow or function. The processor described in this embodiment can be used in the operation of a health evaluation method for power plant operating equipment.

[0120] The present application further provides a storage medium, specifically a computer readable storage medium (Memory), which is a memory device in a computer device, used for storing programs and data. It can be understood that the computer readable storage medium herein can include an internal storage medium in the computer device, and of course can also include an extended storage medium supported by the computer device. The computer readable storage medium provides a storage space, which stores an operating system of the terminal. In addition, one or more instructions suitable for being loaded and executed by the processor are also stored in the storage space, and the instructions can be one or more computer programs (including program codes). It should be noted that the computer readable storage medium herein can be a high-speed RAM memory, or a non-volatile memory such as at least one disk memory. One or more instructions stored in the computer readable storage medium can be loaded and executed by the processor to realize the corresponding steps of the health evaluation method of the power plant operation device in the above embodiments.

[0121] Those skilled in the art should understand that the embodiments of the present application can be provided as a method, a system, or a computer program product. Therefore, the present application can take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can take the form of a computer program product implemented on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROMs, optical storage, etc.) containing computer-usable program code.

[0122] The present application is described with reference to flowcharts and / or block diagrams of the method, device (system), and computer program product according to the embodiments of the present application. It should be understood that each flow and / or block in the flowcharts and / or block diagrams, and the combination of the flows and / or blocks in the flowcharts and / or block diagrams can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device produce a device that implements the functions specified in the flowcharts and / or block diagrams. Figure 1 one or more flows and / or blocks Figure 1 means for performing the functions specified in the flowchart

[0123] These computer program instructions can also be stored in a computer readable memory capable of directing the computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce a manufactured product including instruction means, which implements the functions specified in the flowcharts and / or block diagrams. Figure 1 one or more flows and / or blocks Figure 1the function specified in the one or more blocks.

[0124] These computer program instructions can also be loaded into computer or other programmable data processing devices, so that a series of operation steps are performed on the computer or other programmable data processing devices to generate computer-implemented processes, so that the instructions executed on the computer or other programmable devices provide processes for implementing the flow Figure 1 one or more flows and / or blocks Figure 1 the steps of the function specified in the one or more blocks.

[0125] Finally, it should be noted that: the above examples are only used to illustrate the technical solutions of the present application, but not to limit it, although the above embodiments of the present application have been described in detail, those skilled in the art should understand: the specific embodiments of the present application can be modified or replaced by the same, without departing from the spirit and scope of the present application, any modification or equivalent replacement, which should be covered in the protection scope of the claims of the present application.

Claims

1. A method of health assessment of a power plant operation equipment, characterized by, The method comprises the following steps: obtaining a health evaluation system of each operation equipment of the power plant, determining the weight of each index in the health evaluation system, and constructing a health evaluation model of the operation equipment of the power plant; obtaining historical data of each operation equipment of the power plant and performing standardization processing to obtain standardized historical data; inputting the standardized historical data into the health evaluation model of the operation equipment of the power plant to obtain a health evaluation coefficient of the operation equipment of the power plant.

2. The method of claim 1, wherein The step of obtaining the health evaluation system of each operation equipment of the power plant, determining the weight of each index in the health evaluation system, and constructing the health evaluation model of the operation equipment of the power plant comprises the following steps: obtaining the health evaluation system by analyzing the interaction relationship and potential law between the health of the equipment and the construction and operation cost of power generation; converting each index in the health evaluation system into a principal component irrelevant to each other, and calculating the variance contribution rate of each principal component; the calculation formula of the variance contribution rate of the kth principal component is: where λk k is the kth eigenvalue, representing the variance of the principal component; Reverse mapping the original index, extracting the principal component loading matrix L; each element l of the principal component loading matrix L kj represents the correlation between the jth original index and the kth principal component, and the specific calculation formula is: where v kj is the jth component of the feature vector; combining the variance contribution rate of each principal component and the loading matrix to calculate the weight of each health evaluation index; the specific calculation formula is: In the formula, w j represents the weight of the jth index; based on each health evaluation index and the weight thereof, the health evaluation model of the operation equipment of the power plant is constructed.

3. The method of claim 1, wherein The health evaluation system comprises a target layer, a criterion layer and an index layer connected in sequence; the criterion layer comprises general equipment and power generation equipment; the indexes corresponding to the index layer of the general equipment comprise mean time between failures, availability, mean time to repair, mean time between failures and failure rate; the indexes corresponding to the index layer of the power generation equipment comprise availability coefficient, unplanned outage coefficient, equivalent availability coefficient, forced outage rate and unplanned outage times.

4. The method of claim 3, wherein The calculation formula of the mean time between failures is: where MTTF represents the mean time between failures; ∑t represents the total operating time of the equipment over the period; N failures represents the number of failures that occurred over a period of time; The calculation formula of the availability is: In the formula, availability represents availability; MTBF represents mean time between failures; and MTTR represents mean time to repair. The calculation formula of the mean time to repair is: wherein MTTR represents the average repair time;∑t repair represents the total repair time of the equipment in that period of time; and N represents the number of failures of the equipment in a period of time. The calculation formula of the mean time between failures is: In the formula, N represents the number of failures of the equipment in a period of time; and ∑t represents the total running time of the equipment in the period of time. The calculation formula of the failure rate is: In the formula, λ represents the failure rate.

5. The method of claim 3, wherein the health assessment of the power plant operation equipment is performed by a computer system. The calculation formula of the availability coefficient is: In the formula, AF represents the availability coefficient; AH represents available time; PH represents total time; SH represents running time; and RH represents standby time. The calculation formula of the unplanned outage coefficient is: In the formula, UOF represents the unplanned outage coefficient; and UOH represents the time during which the equipment cannot run due to unplanned shutdown. The calculation formula of the equivalent availability coefficient is: wherein EUF represents equivalent available factor; EUNDH represents equivalent reduced capacity hours; ESDH represents equivalent seasonal reduced capacity hours; D i represents the number of reduced capacity hours of the unit in the statistical period; T i represents the operation and standby time of each reduced capacity hours. The calculation formula of the forced outage rate is: In the formula, FOR represents the forced outage rate; and FOH represents the time during which the equipment stops running due to failure or other non-planned factors.

6. The method of claim 1, wherein, The step of obtaining the historical data of each operation equipment of the power plant and performing standardization processing to obtain standardized historical data comprises the following steps: obtaining the historical data of each operation equipment of the power plant and performing standardization processing to eliminate dimensional differences; performing outlier rejection on the data after eliminating dimensional differences, and then performing missing value filling to obtain standardized historical data.

7. The method of claim 1, wherein, The process of the abnormal value elimination adopts Z-Score method or quartile distance method.

8. A health assessment system for a power plant operation equipment, characterized by, Comprise: The model construction module is used for obtaining a health evaluation system according to each operation equipment of the power plant, determining the weight of each index in the health evaluation system, and constructing a health evaluation model of the operation equipment of the power plant. The data processing module is used for acquiring historical data of each operation equipment of the power plant and performing standardization processing to obtain standardized historical data. The evaluation module is used for inputting the standardized historical data into the health evaluation model of the operation equipment of the power plant to obtain a health evaluation coefficient of the operation equipment of the power plant.

9. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, The processor executes the computer program to realize the steps of the health evaluation method of the operation equipment of the power plant according to any one of claims 1-7.

10. A computer-readable storage medium storing a computer program, the computer program comprising instructions that, when executed by a computer, cause the computer to perform the method of any one of claims 1-9. The computer program is executed by the processor to realize the steps of the health evaluation method of the operation equipment of the power plant according to any one of claims 1-7.

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