Author(s)

Gao Jing

Corresponding Author

Gao Jing

Abstract

By detecting the failure probability of communication equipment in real time and improving the ability of performance detection and real time estimation of communication equipment, a failure probability evaluation technology of communication equipment based on statistical feature analysis is proposed. The real time data acquisition of failure probability of communication equipment is carried out by using wireless sensor technology, and the information fusion processing of the failure probability of communication equipment is carried out. Combined with big data's statistical feature analysis method, the failure probability of communication equipment is counted in real time, the spectral characteristic quantity of failure probability of communication equipment is extracted, and the time-frequency analysis and wavelet scale decomposition method are used to evaluate the failure probability of communication equipment. The simulation results show that the real-time performance of communication equipment failure probability detection is better, the failure probability is high, and the anti-interference property is good.

Keywords

Communication equipment; failure probability; big data; Evaluation