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Coal mining machine online fault diagnosis system based on swarm intelligence optimization

A technology of fault diagnosis system and coal mining machine, applied in the direction of computer components, instruments, characters and pattern recognition, etc., can solve problems such as low precision, easy to be affected by human factors, etc., to improve efficiency and accuracy, overcome The effects of poor measurement accuracy

Inactive Publication Date: 2019-06-11
ZHEJIANG UNIV
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Problems solved by technology

[0005] In order to overcome the shortcomings of the current existing coal shearer fault diagnosis accuracy is not high, easily affected by human factors, the purpose of the present invention is to provide an online fault diagnosis system for coal shearers based on group intelligence optimization, which can realize coal mining Online diagnosis of shearer faults, online parameter optimization, and automatic model update to improve the efficiency and accuracy of shearer fault diagnosis

Method used

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  • Coal mining machine online fault diagnosis system based on swarm intelligence optimization
  • Coal mining machine online fault diagnosis system based on swarm intelligence optimization
  • Coal mining machine online fault diagnosis system based on swarm intelligence optimization

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Embodiment Construction

[0048] The present invention will be further described below in conjunction with the accompanying drawings. The embodiments of the present invention are used to explain the present invention, rather than to limit the present invention. Within the spirit of the present invention and the protection scope of the claims, any modification and change made to the present invention will fall into the protection scope of the present invention.

[0049] refer tofigure 1 and figure 2 , an online fault diagnosis system 5 for coal shearers based on swarm intelligence optimization, which is used for diagnosing the faults that occur during the operation process 1 of electric traction coal shearers, including data preprocessing module 7, random forest model module 8, automatic Adapt to the swarm intelligence optimization module 9 and the model update module 10 .

[0050] Further, the data preprocessing module 7 takes the operation process 1 of the electric traction shearer as the diagnostic...

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Abstract

The invention discloses a coal mining machine online fault diagnosis system based on swarm intelligence optimization, which is used for diagnosing faults appearing in the operation process of a coal mining machine and comprises a data preprocessing module, a random forest model module, a self-adaptive swarm intelligence optimization module and a model updating module. According to the method, faults in the coal mining machine can be quickly and accurately diagnosed, online measurement, online parameter optimization and automatic model updating are achieved, and the fault diagnosis efficiency and accuracy of the coal mining machine are improved.

Description

technical field [0001] The invention relates to the fields of fault diagnosis, machine learning and swarm intelligence optimization algorithm, in particular to an online fault diagnosis system for coal shearers based on swarm intelligence optimization. Background technique [0002] my country is a big energy consumption country. With the development of the national economy, the demand for energy is increasing. As the raw material of industrial power fuel and chemical industry, coal is the main source of energy, and coal is the most abundant fossil fuel in the world. It is necessary to make full use of abundant coal resources. However, the coal industry is a double-edged sword. If it does not follow the path of scientific development, it will bring a series of problems such as pollution and safety. Therefore, according to my country's national energy conditions, the rational mining and utilization of coal resources will be an important research topic in the future. [0003]...

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Application Information

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IPC IPC(8): G06K9/62
Inventor 刘兴高吕露陈红梅张泽银徐志鹏
Owner ZHEJIANG UNIV
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