Rotating machinery is widely applied in various types of industrial applications. As a
promising field for reliability of modern industrial systems, early fault diagnosis (EFD) …

Machinery fault diagnosis has progressed over the past decades with the evolution of
machineries in terms of complexity and scale. High-value machineries require condition …

The vibration signals collected from rolling bearing are usually complex and non-stationary
with heavy background noise. Therefore, it is a great challenge to efficiently learn the …

Condition classification of rolling element bearings in rotating machines is important to
prevent the breakdown of industrial machinery. A considerable amount of literature has …

Fault diagnosis techniques are vital to the condition-based maintenance strategy of wind
turbines, which enables the reliable and economical operation and maintenance for wind …

Sparsity is becoming a more and more important topic in the area of machine learning and
signal processing recently. One big family of sparse measures in current literature is the …

Mechanical fault diagnosis under varying speed conditions has gradually become an
important issue in rotating machinery monitoring, especially the research on compound fault …

Monitoring structural damage is critical for preserving the service life of engineering systems.
In varying operational environments, the working loads are changing all the time and they …

In the health monitoring of rotating machinery, there often coexists multiple fault sources.
Thus a multi-source compound fault signal will be excited and collected by sensors …

Rotating machinery is widely applied in industrial fields. However, it generally operates
under tough working conditions, which leads to the weak fault features and renders fault …