Abstract
In this paper we propose an approach for gear fault prognostics in presumably non-stationary and unknown operating conditions. The approach monitors the evolution of the statistical complexity of the generated vibrations envelope vis-a-vis its Renyi entropy. The statistical complexity is obtained through the wavelet coefficients calculated from the generated vibrations. Such an approach allows seamless estimation of the remaining useful life of the monitored drive without any prior information about the operating conditions and no a priori data regarding the physical characteristics of the monitored drive. The effectiveness of the approach was evaluated on experiments monitoring natural gear fault progress under variable load.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
