Improved bat algorithm optimization ELM-based fault diagnosis method of engine fuel system

A fuel system and bat algorithm technology, which is applied in the field of engine fuel system fault diagnosis, can solve the problems of low accuracy and long time of diagnosis results

Inactive Publication Date: 2019-01-08
KUNMING UNIV OF SCI & TECH
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Problems solved by technology

However, this diagnostic method is not only affected by uncertain human factors, but

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  • Improved bat algorithm optimization ELM-based fault diagnosis method of engine fuel system
  • Improved bat algorithm optimization ELM-based fault diagnosis method of engine fuel system
  • Improved bat algorithm optimization ELM-based fault diagnosis method of engine fuel system

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Embodiment 1

[0055] Embodiment 1: A kind of engine fuel system fault diagnosis method based on the improved bat algorithm optimization ELM, first utilize sensor to collect the vibration signal of fuel system in real time and extract its characteristic vector; Then use bat algorithm to optimize the weight of extreme learning machine and threshold, build the network structure of the optimized extreme learning machine; then input the extracted feature vector into the optimized extreme learning machine for training to obtain the engine fuel system fault diagnosis model; finally use the engine fuel system fault diagnosis model to carry out engine Fuel system fault diagnosis.

[0056] Taking the fuel system of a certain type of diesel engine as the research object, the sensor is used to collect the fault signal, and Matlab2010b is used as the experimental platform. The original signal is decomposed and reconstructed by wavelet 3-layer decomposition, and finally 8 characteristic parameters are ob...

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Abstract

The invention relates to an improved bat algorithm optimization ELM-based fault diagnosis method of an engine fuel system, and belongs to the technical field of mechanical engineering automation. Thefault diagnosis method comprises the steps of acquiring a vibration signal of the fuel system in real time by a sensor, and extracting a characteristic vector of the sensor; optimizing a weight and athreshold of an extreme learning machine by employing a bat algorithm, and building a network structure of the optimized extreme learning machine; and inputting the characteristic vector obtained by extraction to the optimized extreme learning machine for training to obtain a fault diagnosis model of the engine fuel system, and performing fault diagnosis of the engine fuel system. The fault diagnosis method has the advantages that the classification speed is rapid, and the fault diagnosis accuracy of the engine fuel system is improved.

Description

technical field [0001] The invention relates to a fault diagnosis method of an engine fuel system based on an improved bat algorithm optimization ELM, belonging to the technical field of mechanical engineering automation. Background technique [0002] The engine is the "heart" of the entire mechanical equipment, and the fuel system of the engine determines the working performance of the engine to a large extent. Due to the complex structure of the fuel system, it is also a frequent component of failure. According to statistics from authoritative organizations, among the various failures of diesel engines, the failure of the fuel system accounts for as high as 27% of the total. It can be seen that once the fuel system breaks down, the economic and other losses it brings are relatively serious. [0003] Early fault diagnosis mostly relied on personal experience, and sometimes some relatively simple instruments were used to assist judgment. However, this diagnostic method is...

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Application Information

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IPC IPC(8): G01M15/04
CPCG01M15/04
Inventor 王海瑞靖婉婷林雅慧
Owner KUNMING UNIV OF SCI & TECH
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