Fault feature extraction plays an important role in rotating machinery fault diagnosis. With
progress in the development of signal processing methods, more and more features can be …

Fault diagnosis methods based on machine learning have made great progress for rotating
machinery. The main steps of the machine learning process involve feature extraction …

Feature extraction plays a key role in fault diagnosis of rotating machinery. Many methods
reported in the literature are based on masses of labeled data and need much prior …

Accurate and efficient rotating machinery fault diagnosis is crucial for industries to guarantee
the productivity and reduce the maintenance cost. This paper systematically proposes a new …

Fault diagnosis of rotating machinery is receiving more and more attentions. Vibration
signals of rotating machinery are commonly analyzed to extract features of faults, and the …

Intelligent fault diagnosis of complex machinery is crucial for industries to reduce the
maintenance cost and to improve fault prediction performance. Acoustic signal is an ideal …

To better equip with a non-expert to carry out the diagnosis operations, a new method for
intelligent fault identification of rotating machinery based on the empirical mode …

Intelligent fault diagnosis of rotating machinery is vital for industries to improve fault
prediction performance and reduce the maintenance cost. The new fault diagnostic …

Fault feature extraction is crucial to detect failures as earlier as possible in fault diagnosis of
rotating machinery. Due to the influence of environment noise and interference, the signal to …

The key to fault diagnosis of rotating machinery is to extract fault features effectively and
select the appropriate classification algorithm. As a common signal decomposition method …