Modified multiscale weighted permutation entropy and optimized support vector machine method for rolling bearing fault diagnosis with complex signals
Z Wang, L Yao, G Chen, J Ding - ISA transactions, 2021 - Elsevier
The rolling bearing vibration signals are complex, non-linear, and non-stationary, it is difficult
to extract the sensitive features and diagnose faults by conventional signal processing …
to extract the sensitive features and diagnose faults by conventional signal processing …
Review of local mean decomposition and its application in fault diagnosis of rotating machinery
Rotating machinery is widely used in the industry. They are vulnerable to many kinds of
damages especially for those working under tough and time-varying operation conditions …
damages especially for those working under tough and time-varying operation conditions …
Multiscale symbolic fuzzy entropy: An entropy denoising method for weak feature extraction of rotating machinery
The entropy-based method has been demonstrated to be an effective approach to extract
the fault features by estimating the complexity of signals, but how to remove the strong …
the fault features by estimating the complexity of signals, but how to remove the strong …
Sound based fault diagnosis for RPMs based on multi-scale fractional permutation entropy and two-scale algorithm
Y Sun, Y Cao, G **
This paper presents an effective solution based on speech recognition to provide elderly
people, patients and disabled people with an easy control system. The goal is to build a low …
people, patients and disabled people with an easy control system. The goal is to build a low …