Time Encoded Signal Processing and Recognition of incipient bearing faults

Numerous techniques for rolling bearing monitoring have been presented recently but the challenge lies in finding a reliable and price efficient monitoring system capable of providing an early alarm of bearing defects, thus, the purpose of this paper is to develop a more advanced approach using vibration signal to bearings monitoring based on TESPAR (Time Encoded Signal Processing and Recognition), the results show that TESPAR analysis when applied on its own to raw data vibration signal from different bearing conditions does not produce significant results, however, when combined with envelope signal provides an enhanced and novel method for detection of incipient bearing faults