Intelligent fault diagnosis (IFD) refers to applications of machine learning theories to
machine fault diagnosis. This is a promising way to release the contribution from human …

Improving the reliability of engineered systems is a crucial problem in many applications in
various engineering fields, such as aerospace, nuclear energy, and water declination …

Rotating machines have been widely used in industrial engineering. The fault diagnosis of
rotating machines plays a vital important role to reduce the catastrophic failures and heavy …

In the age of industry 4.0, deep learning has attracted increasing interest for various
research applications. In recent years, deep learning models have been extensively …

Condition monitoring and fault diagnosis of bearings play important roles in production
safety and limiting the cost of maintenance on a reasonable level. Nowadays, artificial …

The demand for cost-effective, reliable and safe machinery operation requires accurate fault
detection and classification to achieve an efficient maintenance strategy and increase …

Rolling bearing fault diagnosis is a meaningful yet challengeable task. To improve the
performance of rolling bearing fault diagnosis, this paper proposes an enhanced selective …

Remaining useful life (RUL) prediction is extremely significant to ensure the safe and
reliable operation for bearing suffering from the deterioration. The main focus of the RUL …

Rolling element bearings are critical components in industrial rotating machines. Faults and
failures of bearings can cause degradation of machine performance or even a catastrophe …

Intelligent fault diagnosis techniques cross rotating machines have great significances in
theory and engineering For this purpose, this paper presents a novel method using novel …