… a robust fault detection method in rotating machinery. The proposed method allows an online
fault diagnosis … An approach for gear fault detection, combining wavelet map patterns with …

… behind HOS and investigates their use in identifying fault conditions in rotating machinery. …
In this paper, we diagnose the condition of rotating machinery by analyzing the order …

… Chen, “A novel denoising strategy based on sparse modeling for rotating machinery fault
detection under time-varying operating conditions,” Measurement, vol. 210, Mar. 2023, Art. …

… In this paper, a new deep learning method for fault diagnosis of rotating machinery components
is proposed. Residual learning algorithm is adopted, and the deep model is expected to …

… method AARE for rotating machinery fault detection under variable speed conditions. The
core of the AARE consists of a newly developed core function and edge detection principle. …

… The fault identification problem considered in this study is a multiclass classification pattern
recognition task, with eight machine health conditions—as described in Table III. The F-score …

… a fault diagnosis system based on acoustic emission (AE) using machine learning (ML)
techniques. Our fault diagnosis … -time faults detection and classification in rotating machines. The …

… features from the nonstationary vibration signals, and then put them into the fuzzy k-NN to
make a fault identification of gearbox with multiple faults [91]. Li et al. proposed a dimension-…

… Wang, "A review of stochastic resonance in rotating machine fault detection," Mechanical …
ZJ Qiao, YG Lei, and NP Li, "Applications of stochastic resonance to machinery fault detection: …

… , fault detection in rotating machines has been widely investigated. Conventional detection
… a system for condition monitoring and fault detection in rotating machines based on a 1-D …