CN113933707B

CN113933707B - Self-adjusting method for judging reliability of fault cause of generator set

Info

Publication number: CN113933707B
Application number: CN202111186278.9A
Authority: CN
Inventors: 孙永鑫; 高洪军; 杨世海; 冯超; 魏立华
Original assignee: Harbin Electric Machinery Co Ltd; Huaneng Yarlung Tsangpo River Hydropower Development Investment Co Ltd
Current assignee: Harbin Electric Machinery Co Ltd; Huaneng Yarlung Tsangpo River Hydropower Development Investment Co Ltd
Priority date: 2021-10-12
Filing date: 2021-10-12
Publication date: 2023-09-19
Anticipated expiration: 2041-10-12
Also published as: CN113933707A

Abstract

The application discloses a self-adjusting method for judging reliability of a fault cause of a generator set, and belongs to the field of intelligent operation and maintenance of generator sets. According to the online monitoring point data in the fault diagnosis process of the generator set, the fault cause criterion result in the fault diagnosis system is determined, and the reliability of fault cause judgment is automatically corrected and updated in real time through a self-adjusting algorithm. The application has the advantages of clear principle, simple structure, accurate calculation and high operation efficiency, can continuously self-regulate the reliability of each fault cause judgment according to the operation monitoring data of the generator, ensures that the reliability is consistent with the unit degradation degree, improves the accuracy of the fault diagnosis cause probability, and provides scientific and effective technical support for realizing the automation and the intellectualization of the fault diagnosis of the generator unit.

Description

Self-adjusting method for judging reliability of fault cause of generator set

Technical Field

The application relates to the field of intelligent operation and maintenance of generator sets, in particular to a self-adjusting method for judging reliability of fault reasons of generator sets.

Background

Fault diagnosis and cause judgment are important components in the field of intelligent operation and maintenance of generator sets. Accurate fault diagnosis and reason judgment can ensure that the reason of the fault is rapidly positioned when the generator set has problems, and corresponding treatment measures and schemes are formulated to provide powerful support for intelligent overhaul decisions of the generator set.

In the judgment of the cause of the failure of the generator set, the reliability of the judgment result is an important index for determining the correctness of the reasoning result. In the conventional fault cause diagnosis method, the reliability of the decision structure is usually a fixed value, which is determined according to expert experience, and is not changed by a random set of operation parameters. The method can obtain the probability of the failure cause of the unit, but can not establish direct connection with the running state of the unit, so that the reasoning result and the actual working condition have larger difference.

In view of this, there is a need to develop a self-adjusting method for determining the reliability of the failure cause of the generator set. The method needs to consider the influence of the measurement point data on the fault cause judgment reliability when the unit operates, the more normal the measurement point data is, the smaller the fault cause judgment reliability is, the more abnormal the measurement point data is, the greater the fault cause judgment reliability is, the strong correlation between the unit operating condition and the fault cause judgment reliability is achieved, the fault cause judgment reliability is automatically adjusted and updated in real time along with the measurement point data, and the condition that the generator unit fault diagnosis cause judgment result is consistent with the unit operating state is ensured.

Disclosure of Invention

The application aims to provide a self-adjusting method for judging reliability of fault reasons of a generator set, and the technical scheme of the application comprises the following steps:

step one: according to the design and operation principle of the generator set, a judging method of each fault cause of the generator set is established, and k fault cause criteria are determined for one fault cause A, namely c respectively ₁ 、c ₂ 、…、c _k For 1.ltoreq.i.ltoreq.k, when all k cause criteria c _i If they are true, the failure cause A is true, and if any one of the cause criteria c _i If the fault is false, the fault reason A is false;

step two: for each failure cause criterion c _i The unified logic determination modes of (a) are L _i1 ≤T _i ≤L _i2 Wherein T is _i Criterion c for indicating failure cause _i Corresponding measurement point data of L _i1 Representing measurement point data T _i Lower limit of L _i2 Representing measurement point data T _i When all k cause criteria c _i When all are true, the cause criterion c _i And corresponding judgmentAccording to the value L _i Performing linear normalization processing to obtain a criterion value L _i Expressed as:

step three: setting the reliability lower limit of failure cause A judgment as R ₁ The upper limit of reliability of the failure cause A judgment is R ₂ According to each fault cause criterion c in the second step _i Criterion value L of (2) _i The reliability R when the failure cause a is judged to be true is obtained as:

step four: and repeating the first step, the second step and the third step to obtain the credibility of each fault reason when the fault reason is judged to be true, and further comprehensively obtaining the occurrence probability of each fault reason.

In the self-adjusting method of the reliability of the failure cause judgment of the generator set, in the second step, each failure cause criterion c _i With and only one corresponding site data T _i 。

In the self-adjusting method of the reliability of the failure cause judgment of the generator set, in the second step, the cause criterion c _i Corresponding criterion value L _i Satisfy 0<L _i ≤1。

In the above self-adjustment method for determining reliability of failure cause of generator set, in the third step, the reliability R when the failure cause a is determined to be true satisfies R ₁ <R≤R ₂ 。

The beneficial effects of the application are as follows:

the self-adjusting method for judging the reliability of the fault cause of the generator set provided by the application has the following technical effects that:

1. the reliability of fault cause judgment is adapted to the state of the unit. In the fault cause judgment reliability determination process, the influence of the unit state monitoring data on the reliability is considered, and the reliability change trend is adapted to the unit state.

2. And adjusting the fault cause judgment reliability result in real time. And the unit state monitoring data is refreshed in real time, so that the automatic adjustment and the real-time updating of the reliability of fault cause judgment are realized, and the fault diagnosis result is ensured to meet the requirement of the dynamic change of the unit.

Drawings

FIG. 1 is a flow chart of a self-adjusting method of judging reliability of a fault cause of a generator set.

Detailed Description

The application is further described below with reference to the accompanying drawings. The following examples are only for more clearly illustrating the technical aspects of the present application, and are not intended to limit the scope of the present application.

A self-adjusting method for judging reliability of fault reasons of a generator set comprises the following steps:

step one: according to the design and operation principle of the generator set, a judging method of each fault cause of the generator set is established, and k fault cause criteria are determined for one fault cause A, namely c respectively ₁ 、c ₂ 、…、c _k For 1.ltoreq.i.ltoreq.k, when all k cause criteria c _i If they are true, the failure cause A is true, and if any one of the cause criteria c _i If the fault is false, the fault reason A is false; in this step c _i If false, c can be determined as a criterion _i Conversion into self complement as a cause criterion to ensure all c _i The true time fault reason A is true.

Step two: for each failure cause criterion c _i The unified logic determination modes of (a) are L _i1 ≤T _i ≤L _i2 Wherein T is _i Criterion c for indicating failure cause _i Corresponding measurement point data of L _i1 Representing measurement point data T _i Lower limit of L _i2 Representing measurement point data T _i When all k cause criteria c _i When all are true, the cause criterion c _i And corresponding criterion value L _i Performing linear normalization processing to obtain a criterion value L _i Expressed as:

each fault cause criterion c in this step _i With and only one corresponding site data T _i Cause criterion c _i Corresponding criterion value L _i Satisfy 0<L _i Is less than or equal to 1; the purpose of this step is to establish a criterion value L _i And measurement point data T _i The relation between the data T of the measuring points _i The larger the value, the higher the degree of deterioration, the criterion value L _i The larger.

the reliability R of the failure cause A in this step when it is judged to be true satisfies R ₁ <R≤R ₂ The method comprises the steps of carrying out a first treatment on the surface of the The purpose of this step is to adjust the reliability R using all the criterion values determined by the failure cause a, the larger each criterion value is, the larger the adjusted reliability R is, and the higher the occurrence probability of the failure cause a is.

Step four: and repeating the first step, the second step and the third step to obtain the credibility of each fault reason when the fault reason is judged to be true, and further comprehensively obtaining the occurrence probability of each fault reason. The method aims to realize self-adjustment of the reliability of the fault cause judgment of the generator set at each moment, ensure the dynamic change of the reliability of the fault cause judgment and be consistent with the running condition of the generator set.

The present application is merely illustrative of the present application and not limited to the scope thereof, and those skilled in the art can make modifications thereto without departing from the spirit of the application.

Claims

1. A self-adjusting method for judging reliability of fault reasons of a generator set is characterized by comprising the following steps:

2. The self-adjusting method of the reliability of the failure cause judgment of the generator set according to claim 1, characterized by comprising the steps of: in the second step, each failure cause criterion c _i With and only one corresponding site data T _i 。

3. The self-adjusting method of the reliability of the failure cause judgment of the generator set according to claim 1, characterized by comprising the steps of: in the second step, the reason criterion c _i Corresponding criterion value L _i Satisfy 0<L _i ≤1。

4. The self-adjusting method of the reliability of the failure cause judgment of the generator set according to claim 1, characterized by comprising the steps of: in the third step, the reliability R when the failure cause a is determined to be true satisfies R ₁ <R≤R ₂ 。