Bearing early fault detection and degradation tracking based on support tensor data description with feature tensor
Author:
Funder
National Natural Science Foundation of China
Publisher
Elsevier BV
Subject
Acoustics and Ultrasonics
Reference35 articles.
1. Anomaly detection and fault prognosis for bearings;Jin;IEEE Trans Instrum Meas,2016
2. Bearing performance degradation assessment based on time-frequency code features and SOM network;Zhang;Meas Sci Technol,2017
3. Short-time matrix series based singular value decomposition for rolling bearing fault diagnosis;Cong;Mech Syst Signal Process,2013
4. A fault diagnosis scheme of rolling element bearing based on near-field acoustic holography and gray level co-occurrence matrix;Lu;J Sound Vib,2012
5. Bearing fault diagnosis based on subband time-frequency texture tensor;Bo;IEEE Access,2019
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