Intelligent fault diagnosis methods based on deep learning becomes a research hotspot in
the fault diagnosis field. Automatically and accurately identifying the incipient micro-fault of …

Intelligent Fault Diagnosis and Remaining Useful Life Prediction of Rotating Machinery
provides a comprehensive introduction of intelligent fault diagnosis and RUL prediction …

The condition monitoring of rotating machinery systems based on effective and intelligent
fault diagnosis has been widely accepted. Traditional signal processing (SP) methods are …

This paper presents a convolutional neural network (CNN) based approach for fault
diagnosis of rotating machinery. The proposed approach incorporates sensor fusion by …

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 …

Rotating machinery is a very important mechanical device widely used in critical industrial
applications. Efficient fault detection and diagnosis are key challenges in the maintenance …

Accurate and reliable fault diagnosis for rotating machinery, especially under variable
working conditions remains a great challenge. Existing deep learning methods which extract …

Aiming to promptly process the massive fault data and automatically provide accurate
diagnosis results, numerous studies have been conducted on intelligent fault diagnosis of …

In view of the limitations of existing rotating machine fault diagnosis methods in single-scale
signal analysis, a fault diagnosis method based on multi-scale permutation entropy (MPE) …

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 …