Compound fault, as a primary failure leading to unexpected downtime of rotating machinery,
dramatically increases the difficulty in fault diagnosis. To deal with the difficulty encountered …

Effective signal processing methods are essential for machinery fault diagnosis. Most
conventional signal processing methods lack adaptability, thus being unable to well extract …

Nowadays, the data-driven diagnosis method, exploiting pattern recognition method to
diagnose the fault patterns automatically, achieves much success for rotating machinery …

Variational mode decomposition (VMD) is a recently introduced adaptive signal analysis
method, which is widely used in fault diagnosis of rotating machinery due to its excellent …

Industrial automatic control systems have high requirements for manufacturing accuracy,
which are often adversely affected by the compound fault of rotating machinery such as …

The vibration monitoring of gearboxes is an effective means of ensuring the long-term safe
operation of rotating machinery. A gearbox may have more than one fault in actual …

The adaptive decomposition algorithm is a powerful tool for signal analysis, because it can
decompose signals into several narrow-band components, which is advantageous to …

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

Transient impulse analysis is an effective way to detect the bearing fault at its early stage.
However, it is hard to precisely extract these so-called transient impulses because these …

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 …