The condition monitoring (CM) of rotating machinery (RM) is an essential operation for
improving the reliability of mechanical systems. For this purpose, an efficient CM method that …

Abstract To implement Prognostics and Health Management (PHM) for industrial systems, it
is paramount to conduct early fault prognosis on the systems to ensure the stability and …

To improve the accuracy of bearing fault diagnosis in a multisensor monitoring environment,
it is necessary to obtain more accurate and effective fault classification features for bearings …

Anomaly detection (AD) is an important task of machines' condition monitoring (CM). Data-
driven policies can be used in a more intelligent way to achieve anomaly detection and …

Mechanical equipment such as wind turbines often operates under time-varying working
conditions (TVWC). The vibration signals collected from their key rotating components, such …

Accurate extraction of fault-induced periodic transient features from noise interference
containing harmonics and large-amplitude random impulses is a key to fault detection of …

For the driving safety of electric vehicle (EV), intelligent diagnosis based on artificial
hydrocarbon networks (AHNs) is proposed to detect mechanical faults of in-wheel motor …

With the update of the sampling rate, automation and computation, data volume is
increasing, it's critical to reduce the burden on the real-time data processing and remote …

The vibration state monitoring signal of rolling bearings usually shows periodic transient
impulse characteristics at the time of the fault, but in the fault sprouting stage and actual …

The bearing fault impact impulses induced by the contact between components with
drawback, is difficult to be detected at sprouting stage due to the interference of background …