Abstract Prognostics and Health Management (PHM), including monitoring, diagnosis,
prognosis, and health management, occupies an increasingly important position in reducing …

In the modern manufacturing industry, mechanical equipment plays a crucial role.
Equipment working in harsh environments for a long time is more likely to break down …

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 …

Recently, deep learning-based intelligent fault diagnosis methods have been developed
rapidly, which rely on massive data to train the diagnosis model. However, it is usually …

Intelligent fault diagnosis of machines has long been a research hotspot and has achieved
fruitful results. However, intelligent fault diagnosis is a difficult issue in the case of a small …

Fault diagnosis is the key procedure to ensure the stability and reliability of mechanical
equipment operation. Recent works show that deep learning-based methods outperform …

Bearing health condition directly affects the reliability of mechanical equipment. Although
deep learning (DL) algorithms have achieved great results in the field of bearing fault …

The traditional fault diagnosis methods of rotating machinery based on deep learning have
made some achievements. However, the fault samples are generally difficult to collect …

Deep learning (DL) based diagnosis models have to be trained by large quantities of
monitoring data of machines. However, in real-case scenarios, machines operate under the …

Condition monitoring and diagnosis of a bearing are very important for any rotating machine
as it governs the safety while the machine is in operating condition. To construct a feature …