Li Juanjuan¹, Wang Aiming¹, Meng Guoying¹, Xie Guangming², Wang Shuai¹, Hu Liang¹ and Jia Yifan¹, ¹China University of Mining and Technology, China and ²Peking University, China

Fault diagnosis method based on the moment characteristic of system pressure data is presented in this paper. Using AMESim simulation technology, three typical faults of the brake system are studied. After the moment and the percentile characteristics of the pressure curve of the hydraulic system are extracted and used as characteristic parameter, fault information is diagnosed effectively using the BP neural network. The problem that the signal is not synchronized and the characteristic parameters can not be obtained accurately are overcome. It provides some theoretical basis for the intelligent diagnosis and predictive maintenance of the high speed deep well hoist.

Moment characteristics; Fault diagnosis; Braking system; Performance degradation; Deep mine hoist