The task of condition monitoring and fault diagnosis of rotating machinery faults is both
significant and important but is often cumbersome and labour intensive. Automating the …

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 …

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 …

Over the past two decades, condition monitoring and faults diagnosis in rotating machinery
have been widely studied and reported. In the present paper an algorithm for fault diagnosis …

To predict potential problems and avoid an unexpected breakdown of rotating machinery, a
rule-based classifier ensemble approach is presented. Feature reduction was first …

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

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

Fault diagnosis of various rotating equipment plays a significant role in industries as it
guarantees safety, reliability and prevents breakdown and loss of any source of energy …

Rotating machines are commonly used mechanical equipment in various industrial
applications. These machines are subjected to dynamic and harsh operating conditions over …

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 …