Robust post-processing time frequency technology and its application to mechanical fault diagnosis

• Published in: Scientific reports Vol. 14; no. 1; pp. 20456 - 30
• Main Authors: Long, Junbo, Deng, Changshou, Wang, Haibin
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 03.09.2024; Nature Publishing Group; Nature Portfolio
• Subjects: 639/166; 639/705; Fault diagnosis; Feature extraction; Fuzzy energy; Humanities and Social Sciences; Infinite variance process; Multi-synchrosqueezing; multidisciplinary; Science; Science (multidisciplinary); Signal processing; Statistical models; Synchrosqueezing extracting; Infinite variance process; Feature extraction; Multi-synchrosqueezing; Synchrosqueezing extracting; Fuzzy energy

Post-processing synchrosqueezing transform and synchroextracting transform methods can improve TFR resolution for fault diagnosis. The normal and fault signal can be described by infinite variance process, and 1 < α ≤ 2, even the background noise belongs to the process under complex conditions. T...