PHM technology is vital in industrial production and maintenance, identifying and predicting
potential equipment failures and damages. This enables proactive maintenance measures …

Fault diagnosis of rolling element bearings (REBs), one type of essential mechanical
element, has been actively researched; recent research has focused on the use of deep …

In recent years, deep learning (DL)-based fault diagnosis methods have witnessed
significant advancements and successful applications in engineering practice. However, the …

Deep-learning-based methods used for fault diagnosis show remarkable performance, and
these methods primarily learn features based on the time or frequency domain. Generally …

Domain adaptive fault diagnosis methods of bearing have made extraordinary
achievements in recent years. Among these methods, the vast majority of machine learning …

In practical engineering, the features of rolling bearing vibration signals often vary in
distribution under different working conditions, and obtaining sample labels for target …

The accurate detection of faults in diesel engines is crucial for extending their operational
lifespan, ensuring safety, and yielding significant economic and societal benefits. However …

The fault diagnosis method of bearing-rotor system based on infrared thermography can
reflect the global fault information of the equipment, which is an advanced non-contact …

The monitoring of the health of Rolling Element Bearings (REBs) in the rolling mill process
was recently automated through signal processing and machine learning technologies …

Bearing fault diagnosis is essential for ensuring the safety and reliability of industrial
systems. Recently, deep learning approaches, especially the convolutional neural network …