A Comparative Study of Adaptive Order Tracking Techniques for Rotating Machinery Analysis: Computer Experiments and Practical Implementations

DOI10.1142/S2424922X16500121zbMath1368.90055OpenAlexW2557917113MaRDI QIDQ4977880

Dejan Ž. Veljković, P. Todorovic

Publication date: 17 August 2017

Published in: Advances in Data Science and Adaptive Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1142/s2424922x16500121

zbMATH Keywords

fault diagnosisLMS algorithmRLS algorithmindustrial applicationsleast mean-square (LMS) methodorder trackingVold-Kalman filters

Mathematics Subject Classification ID

Order statistics; empirical distribution functions (62G30) Reliability, availability, maintenance, inspection in operations research (90B25) Reliability and life testing (62N05)

Cites Work

• Vold-Kalman Filter Order Tracking in Vibration Monitoring of Electrical Machines
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