Research on fault diagnosis method of local ventilation equipment system in coal mine

MA Sheng-li · Coal Engineering · 2006

For solving the gas excess problem of local ventilation system,an approach of combining the rough set theory with the genetic algorithms is used to study the fault diagnosis method of local ventilation equipment system in this paper.The fault model tree is established,the algorithms and software of fault diagnosis rule acquirement of system key cell is analyzed and developed,and ware applied to coal mine practice.The achievement can provide a new method and prototype software tool for the fault diagnosis of ventilation equipment system.

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