In the rolling bearing fault diagnosis, the vibration signal of single sensor is usually
nonstationary and noisy, which contains very little useful information, and impacts the …

The defect frequency amplitude of the High-Frequency Resonance Technique spectrum is a
useful feature for bearing diagnosis. However, it is dependent on the accuracy of the …

Wheel flats (WFs) can generate periodic impact forces and aggravate the wheel-rail
interaction. Therefore, the early detection of WFs is significant for railway operators to lower …

The vibrations of rotating machinery contain crucial information for monitoring the
operational status of machines and diagnosing potential faults. Measuring vibration …

Rolling element bearings (REBs) constitute a crucial element in rotating machinery, and
their malfunction is one of the most common reasons for unplanned outages and shutdowns …

Condition-based maintenance strategies for monitoring the state of health of machinery
utilize vibration sensors as early indicators of anomalous operation. Large-scale deployment …

For the fault diagnosis of intershaft bearings, the fusion information exergy distance method
(FIEDM) is proposed by fusing four information exergies, such as singular spectrum exergy …

Rotational speed and defect monitoring are of crucial relevance for all the rotating
machinery. Traditional sensors require to be mounted on or near the rotating bodies …

Condition monitoring plays an important role in rotating machinery to ensure reliability of the
equipment, and to detect fault conditions at an early stage. Although health monitoring …

Purpose Traditional bearing health monitoring relies on acceleration signals from
accelerometers on bearing housings. Displacement sensors, like proximity probes, are …