Bearings play an important role in the rotating machinery. Timely fault detection and
maintenance can prevent catastrophic incidents caused by bearing faults. As one of the …

Blind deconvolution technique can effectively recover the periodic fault impulses. However,
deconvolution algorithms may not perform well for fault detection if the objective criteria are …

The technique of energy harvesting, which captures the energy from ambient vibrations, has
received increasing attention due to its potential to power low-powered wireless sensors …

In order to address the problem with low signal-to-noise ratio (SNR) detection for airborne
magnetic anomaly detection (MAD), an adaptive detection method based on bi-stable …

The wind turbine fault feature has strong uncertainty due to various factors such as wind
speed and equipment parameters. Based on the analysis of the vibration characteristics of …