Rotating machinery is widely applied in various types of industrial applications. As a
promising field for reliability of modern industrial systems, early fault diagnosis (EFD) …

Compound fault, as a primary failure leading to unexpected downtime of rotating machinery,
dramatically increases the difficulty in fault diagnosis. To deal with the difficulty encountered …

Artificial intelligence (AI)-based rotor fault diagnosis (RFD) poses a variety of challenges to
the prognostics and health management (PHM) of the Industry 4.0 revolution. Rotor faults …

Fault diagnosis of rotating machinery plays a significant role for the reliability and safety of
modern industrial systems. As an emerging field in industrial applications and an effective …

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

Early fault detection (EFD) is vital for mechanical systems to reduce downtime and increase
stability. The main challenge of EFD for rotating machines is to extract discriminative …

Safety, reliability, efficiency and performance of rotating machinery in all industrial
applications are the main concerns. Rotating machines are widely used in various industrial …

This paper presents a new approach to intelligent fault diagnosis based on statistics
analysis, an improved distance evaluation technique and adaptive neuro-fuzzy inference …

The fault monitoring and diagnosis of industrial machineries are very significant in Industry
4.0 revolution but are often complicated and labour intensive. The application of artificial …

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 …