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Failure Diagnosis System of Continuous Miner Walking System Base on HOFNN

Journal Name:

  • Journal of Control Engineering and Technology

Publication Year:

  • 2011

Key Words:

Author NameUniversity of Author
Abstract (2. Language): 
In order to diagnose quickly and effectively fault state, reduce failure rate, save maintenance time of a continuous miner walking system and improve the reliability and productivity, enhance performances of a continuous miner, the GA-PSO hybrid optimization method of fuzzy neural network(ie HOFNN) is used in fault diagnosis of a walking system in the paper, a intelligent fault diagnosis expert system of a continuous miner walking system is designed by means of taking VC 6.0 as the programming platform, using SQL SERVER 2000 as database, embedding MATLAB7.1 in the internal. The system is simple in man-machine interface and good in man-machine conversation, capable of analyzing accurately and judging properly failures of a continuous miner walking system.
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  • English

REFERENCES

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