Rolling element bearings are very critical components of rotating machines and the
presence of defects in the bearing may lead to failure of machines. Hence, early …

A robust hybrid hidden Markov model-based fault detection method is proposed to perform
multi-state fault classification of rotating components. The approach presented in this paper …

The hydraulic pipeline is subject to the aero-engine base excitation and the pump fluid
pulsation which can always damage the pipeline through overload to fatigue. So, the health …

Fault diagnostics is important for safe operation of nuclear power plants (NPPs). In recent
years, data-driven approaches have been proposed and implemented to tackle the problem …

This paper presents an integrated hidden Markov model (HMM) approach to undertake fault
diagnosis and maintenance planning for low-speed roller element bearings in a conveyor …

Oscillations in the control loops can result in high variability of product quality, more energy
consumption, and accelerated equipment aging. The existing oscillation detection methods …

The mechanical vibration source signal collected by sensor often includes a variety of
internal vibration source of contributions such as gears, bearings, shaft and so on. It is often …

Although vibration-based rolling element bearing diagnostics is a very well-developed field,
the research on sparse representations of vibration signals is yet new and challenging for …

Damage detection and prognosis are integral to asset management of critical mechanical
and civil engineering infrastructure. In practice, these two aspects are often decoupled …

Mechanical failure prevention and condition monitoring have been one of the concerns of
mechanical engineers in recent years due to the personal safety, cost of failure, reliability …