The traditional intelligent diagnosis methods of rotating machinery generally require feature
extraction of the raw signals in advance. However, it is a very time-consuming and laborious …

Rolling element bearings and gears are the most common machine elements. As they are
extensively used in rotating machinery, their health conditions are crucial to the safe …

The rolling bearings play a vital role in mechanical production and transportation. However,
when it appears abnormal, the fault characteristics are weak and different to be extracted in …

Fault diagnosis is an important part of the health management of many pieces of equipment.
It is an effective means to reduce equipment failure rate and shutdown loss. In engineering …

In recent years, deep learning based diagnostic approaches have become more attractive.
However, most of these methods are supervised diagnostic approaches. Developing a …

Accurate fault diagnosis is critical to the safe and reliable operation of rotating machinery.
Intelligent fault diagnosis techniques based on deep learning have recently gained …

Fault diagnosis for rolling elements in rotating machinery persistently receives high research
interest due to the said machinery's prevalence in a broad range of applications. State-of-the …

Fault diagnosis of rotating machinery is essential for maintaining system performance and
ensuring the operation safety. Deep learning (DL) has been recently developed rapidly and …

In the case of a compound fault diagnosis of rotating machinery, when two failures with
unequal severity occur in distinct parts of the system, the detection of a minor fault is a …

In this paper, an explainable AI-based fault diagnosis model for bearings is proposed with
five stages, ie,(1) a data preprocessing method based on the Stockwell Transformation …