A review of stochastic resonance in rotating machine fault detection
Condition-based monitoring and machine fault detection play important roles in industry as
they can ensure safety and reduce breakdown loss. Weak signal detection is an essential …
they can ensure safety and reduce breakdown loss. Weak signal detection is an essential …
Applications of stochastic resonance to machinery fault detection: A review and tutorial
Fault detection is a key tool to ensure the safety and reliability of machinery. In machinery
fault detection, signal processing methods are extensively applied to extract fault …
fault detection, signal processing methods are extensively applied to extract fault …
Multi-layer domain adaptation method for rolling bearing fault diagnosis
In the past years, data-driven approaches such as deep learning have been widely applied
on machinery signal processing to develop intelligent fault diagnosis systems. In real-world …
on machinery signal processing to develop intelligent fault diagnosis systems. In real-world …
Understanding and improving deep learning-based rolling bearing fault diagnosis with attention mechanism
In the recent years, deep learning-based intelligent fault diagnosis methods of rolling
bearings have been widely and successfully developed. However, the data-driven method …
bearings have been widely and successfully developed. However, the data-driven method …
Deep residual learning-based fault diagnosis method for rotating machinery
Effective fault diagnosis of rotating machinery has always been an important issue in real
industries. In the recent years, data-driven fault diagnosis methods such as neural networks …
industries. In the recent years, data-driven fault diagnosis methods such as neural networks …
A robust intelligent fault diagnosis method for rolling element bearings based on deep distance metric learning
Intelligent data-driven fault diagnosis methods for rolling element bearings have been
widely developed in the recent years. In real industries, the collected machinery signals are …
widely developed in the recent years. In real industries, the collected machinery signals are …
Hidden Markov model based stochastic resonance and its application to bearing fault diagnosis
Rolling bearings are crucial components in rotating machinery and the detection of damage
at early stages is pivotal to ensure the life of the machine. Thus, developing accurate …
at early stages is pivotal to ensure the life of the machine. Thus, developing accurate …
A novel adaptive stochastic resonance method based on coupled bistable systems and its application in rolling bearing fault diagnosis
J Li, J Zhang, M Li, Y Zhang - Mechanical Systems and Signal Processing, 2019 - Elsevier
Stochastic resonance (SR), as a typical noise-assisted signal processing method, has been
extensively studied in weak signal detection by virtue of the advantage of using noise to …
extensively studied in weak signal detection by virtue of the advantage of using noise to …
Positive role of bifurcation on stochastic resonance and its application in fault diagnosis under time-varying rotational speed
Stochastic resonance (SR) is mainly produced by the synergistic effect of noise, nonlinear
system, and signals. This converts a part of the noise energy into useful signal energy …
system, and signals. This converts a part of the noise energy into useful signal energy …
Sound-aided vibration weak signal enhancement for bearing fault detection by using adaptive stochastic resonance
Adaptive stochastic resonance (ASR) has been proven effective in enhancing weak periodic
signals that are submerged in heavy background noise. Given such benefit, ARS has also …
signals that are submerged in heavy background noise. Given such benefit, ARS has also …