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Maintenance decision-making method based on power generation equipment operation state comprehensive evaluation model

A technology of power generation equipment and operating status, which is applied in the direction of calculation models, instruments, data processing applications, etc., and can solve problems such as unsatisfactory equipment operation and maintenance decisions, single status division levels, etc.

Inactive Publication Date: 2020-02-21
HUADIAN ZOUXIAN POWER GENERATION CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The state classification level of equipment is also relatively simple, generally divided into normal state and fault state. With the increase of equipment complexity, simple state evaluation methods can no longer meet the requirements of equipment operation and maintenance decision-making.

Method used

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  • Maintenance decision-making method based on power generation equipment operation state comprehensive evaluation model
  • Maintenance decision-making method based on power generation equipment operation state comprehensive evaluation model
  • Maintenance decision-making method based on power generation equipment operation state comprehensive evaluation model

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Experimental program
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Effect test

Embodiment 1

[0057] The invention relates to a maintenance decision-making method based on a comprehensive evaluation model of the operating state of power generation equipment, including the state of the power generation equipment, where n mutually independent characteristic values ​​representing the state of the power generation equipment are respectively x 1 (t),x 2 (t),...,x n (t), since they come from the same object, they are considered together as a whole, and they form an m-dimensional vector, called the state feature vector of the device, denoted as

[0058] x=[x 1 ,x 2 ,...,x n ] T

[0059] The n-dimensional space formed by all possible values ​​of the state feature vector x at time t is called the state feature space, denoted as X n ;

[0060] The power generation equipment status consists of the following categories of characteristics:

[0061] 1) The characteristics of the output parameters, which reflect the current operating status of the equipment. Such characteris...

Embodiment 2

[0066] On the basis of Embodiment 1, it also includes the establishment of a state evaluation model for power generation equipment. In order to accurately describe the state of the equipment, quantitative indicators are used to describe different degradation states. After the equipment state feature space is established, the state evaluation is based on some It can reflect the characteristic index of the working performance of the equipment, and adopt an appropriate model to determine the current deterioration degree of the equipment.

Embodiment 3

[0068] On the basis of Embodiment 1-2, it also includes the determination of the state evaluation index of power generation equipment—deterioration degree, each equipment has a series of state parameters x that characterize its ability to achieve specific performance 1 ,x 2 ,...,x n , and they are functions of time, which can be written as x i (t), the ability of the device to achieve its specific performance can be considered as n characteristic parameters x i (t) the set of normal states determined, while faults and failures are x i (t) A set that exceeds the limit of the normal state. According to the reliability theory, the degree of deterioration can be used to indicate that the equipment deviates from the normal state x i (t) degree, denoted as d i , and its value range is [0,1]. When the degree of deterioration is 1, the surface equipment is in a fault state; when the degree of deterioration is 0, it indicates that the equipment is in the optimal state. According to...

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Abstract

The invention discloses a maintenance decision-making method based on a power generation equipment operation state comprehensive evaluation model. Power generation equipment status is included, wherein the power generation equipment status comprises n mutually independent characteristic quantity values x1(t), x2(t),..., xn(t)representing the power generation equipment status respectively; x1(t), x2(t),..., xn(t) come from the same object, so that the x1(t), x2(t),..., xn(t) are considered as a whole to form an m-dimensional vector which is called as a status feature vector of the equipment, and an n-dimensional space formed by all possible values of the state feature vector x at the moment t is called as a state feature space. The invention discloses a maintenance decision-making method based on a power generation equipment operation state comprehensive evaluation model. The deterioration degree of comprehensive characteristic parameters representing the equipment status is used for representing the health condition of the equipment, the comprehensive characteristic parameters comprise vibration time threshold signal characteristics, vibration frequency spectrum characteristics andvibration change trend characteristics, and the accuracy of describing the health condition of the equipment can be effectively improved through the method.

Description

technical field [0001] The invention relates to the field of generating equipment maintenance, in particular to a maintenance decision-making method based on a comprehensive evaluation model of the operating state of the generating equipment. Background technique [0002] The equipment of power generation enterprises is becoming larger and more complex, and the maintenance requirements for equipment are getting higher and higher. At present, most power generation enterprises still use the traditional planned maintenance to prevent equipment failures. The planned maintenance will easily lead to over-repair or disrepair of equipment, resulting in a huge waste of enterprise maintenance resources. [0003] During the operation of the power generation equipment, at a certain moment, the internal characteristics of the equipment determined by the different combinations of the external working conditions of the equipment and the internal factors of the equipment are called the stat...

Claims

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Application Information

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IPC IPC(8): G06Q10/00G06Q50/06G06N20/00
CPCG06Q10/20G06Q50/06G06N20/00Y04S10/50
Inventor 尤华刘恩生吴建勋陈炜何修年宗珂林西国柏立昌冀长坤杜承德刘元振王丽英
Owner HUADIAN ZOUXIAN POWER GENERATION CO LTD
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