Fault diagnosis method used for downhole draining system

A technology for drainage system and fault diagnosis, applied in pump control, non-variable-capacity pump, machine/engine, etc., can solve problems such as large data volume, weak network liberalization ability, and poor convergence speed.

Inactive Publication Date: 2017-03-22
SHANDONG UNIV OF SCI & TECH
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Problems solved by technology

However, in the case of multi-dimensionality, the amount of data is huge, and it is difficult to calculate and solve; it needs to be established on the basis of a large number of sample libraries,

Method used

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  • Fault diagnosis method used for downhole draining system
  • Fault diagnosis method used for downhole draining system
  • Fault diagnosis method used for downhole draining system

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Embodiment Construction

[0054] The basic idea of ​​the present invention is: on the basis of analyzing the characteristics of fault propagation, a new Petri net model is established. There are two ways to establish the Petri net model for fault diagnosis: one is to model according to the logical relationship of the system, that is, to model the relationship between fault symptoms and faults; the other is to model according to the rules of transition to simulate the occurrence of faults. Dynamic Process. The present invention combines two modeling methods, establishes a diagnostic model based on the relationship between fault symptoms and faults, and uses transition rules to simulate the dynamic operation process of faults. Its advantage is that it can simulate the system while describing the structure of the system. Applied to the drainage system, it can not only describe the relationship between faults and fault symptoms, but also dynamically show the process of fault occurrence.

[0055] Below in co...

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Abstract

The invention discloses a fault diagnosis method used for a downhole draining system. Fault information is measured through a draining equipment data monitoring system, and a fault feature vector reflecting the fault information is obtained through preprocessing. Then, fuzzy processing is carried out on the fault feature vector, a fuzzy value adapting to a Petri net input feature is obtained, and a fuzzy Petri net fault diagnosis model of the draining system is established according to the fuzzy value. Then, a BP algorithm in a neural network is adopted on the fault diagnosis model to carry out network optimization training on parameters, such as weight, threshold and confidence, an error is minimized, and the optimized parameters are used as the final running parameters of the fault diagnosis model. By analyzing the embodiment, the method can relatively accurately and rapidly find fault reasons, has great accuracy, rapidness and adaptability, and can be used for diagnosing the fault of the downhole draining system and have a relatively better effect.

Description

technical field [0001] The invention belongs to the technical field of fault diagnosis, and in particular relates to a fault diagnosis method for an underground drainage system. Background technique [0002] Whether the operation status of the underground drainage system is normal or not is directly related to the performance of the underground drainage, and the performance of the underground drainage directly affects the safety of coal mine production. It is of great significance for the stable operation of the drainage system to detect and solve the fault problem of power electromechanical equipment early. [0003] At present, there are many methods for drainage system fault diagnosis at home and abroad, but each method has its own scope of application and limited conditions, and it is difficult to obtain good diagnostic results. The main methods are as follows: [0004] (1) Fault diagnosis method based on expert knowledge: [0005] The composition of an expert system g...

Claims

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Application Information

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IPC IPC(8): F04D15/00
CPCF04D15/0088F05D2260/80
Inventor 高正中李世光赵晨晖马凡凡刘同国
Owner SHANDONG UNIV OF SCI & TECH
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