The application of information entropy theory on the fault diagnosis and the evaluation of the performance of hydraulic generator sets

The fault diagnosis and the evaluation of the performance of hydraulic generator sets (HGSs) is a hotspot of the research on hydraulic system. In this paper, the parameters correlating with the performance of HGSs are analyzed primarily. The index of evaluation of general performance is established on information entropy by fused information of time, frequency domain, fault probability and running condition. These indexes are applied in the evaluation of performance of HGSs,. It is proved that these productions are effective to the evaluation of machine sets steadiness.