Optimal Selection Method of Monitoring Parameters in Diesel Engine Fault Diagnosis Based on Genetic Algorithm

A genetic algorithm and fault diagnosis technology, applied in the direction of genetic law, internal combustion engine testing, genetic model, etc., to reduce the difficulty and improve the optimization efficiency.

Active Publication Date: 2021-12-07
HARBIN ENG UNIV
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Problems solved by technology

[0006] The purpose of the invention is to propose a method for optimizing the selection of monitoring parameters in diesel engine fault diagnosis based on genetic algorithm, to solve the problem of optimal selection of monitoring parameters in existing diesel engine fault diagnosis

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  • Optimal Selection Method of Monitoring Parameters in Diesel Engine Fault Diagnosis Based on Genetic Algorithm
  • Optimal Selection Method of Monitoring Parameters in Diesel Engine Fault Diagnosis Based on Genetic Algorithm
  • Optimal Selection Method of Monitoring Parameters in Diesel Engine Fault Diagnosis Based on Genetic Algorithm

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[0039] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0040] refer to figure 1 Shown, the monitoring parameter optimization selection method in the diesel engine fault diagnosis based on genetic algorithm, described selection method comprises the following steps:

[0041] Step 1, using the expert system to obtain the causal relationship between the fault and the abnormal monitoring parameters in the diesel engine system, and expressing it in the form of a fault characteristic matrix;

[0042] Step 2, using the con...

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Abstract

The invention relates to a method for optimizing and selecting monitoring parameters in diesel engine fault diagnosis based on a genetic algorithm, and belongs to the field of optimizing and selecting monitoring parameters for diesel engines. The present invention firstly uses the fault feature matrix to describe the causal relationship between the fault and the abnormal monitoring parameters; then uses the conditional entropy to screen out the monitoring parameters necessary for fault differentiation, and calculates the attribute importance of the remaining monitoring parameters; Coding; according to the requirements of the optimization goal, combined with the conditional entropy and attribute importance, construct the fitness function of the genetic algorithm; design the three operators of selection, crossover and mutation in the genetic operation, realize the optimal calculation, and obtain the optimal sensor layout scheme . Based on the genetic algorithm, the invention realizes the optimal selection of the monitoring parameters of the diesel engine system, greatly reduces the difficulty of preparatory work and improves the optimization efficiency.

Description

technical field [0001] The invention relates to a method for optimizing and selecting monitoring parameters in diesel engine fault diagnosis based on a genetic algorithm, and belongs to the technical field of optimizing and selecting monitoring parameters for diesel engines. Background technique [0002] With the continuous improvement of diesel engine automation and work performance, it has become one of the most important power equipment, and it plays an extremely important role in the fields of ship transportation, construction machinery, railway machinery, and fixed power stations. While improving product quality, reducing economic costs and improving labor efficiency, we should realize that once a diesel engine breaks down, if it cannot be dealt with in time, it will bring huge economic losses, and in severe cases, it will even cause machine crashes and fatalities. major safety accidents. Therefore, ensuring the safe, reliable and efficient operation of diesel engines ...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06N3/12G01M15/04
CPCG01M15/04G06N3/126
Inventor 王忠巍张驰徐荣冯力东马龙倪小明
Owner HARBIN ENG UNIV
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