Condition-based monitoring and machine fault detection play important roles in industry as
they can ensure safety and reduce breakdown loss. Weak signal detection is an essential …

Fault detection is a key tool to ensure the safety and reliability of machinery. In machinery
fault detection, signal processing methods are extensively applied to extract fault …

Fault diagnosis of rolling bearing is crucial for safety of large rotating machinery. However, in
practical engineering, the fault modes of rolling bearings are usually compound faults and …

This paper intends to provide an overview on recent development of knowledge transfer for
rotary machine fault diagnosis (RMFD) by using different transfer learning techniques. After …

Rotor-roller bearing-housing systems (RBHSs) are widely utilized in many industrial
machinery, such as aero-engines, high speed trains, wind turbine, etc. A clearly …

Order tracking (OT), which is realized by signal sampling in equal-angle increment
according to the measured rotating speed, is a powerful technique for rotating machine fault …

Rolling bearings are crucial components in rotating machinery and the detection of damage
at early stages is pivotal to ensure the life of the machine. Thus, developing accurate …

The vibration signal analysis is a popular method for extracting sensitive fault features. The
vibration signals are usually contaminated by noise, and therefore the extracted features …

Thanks to the fast development of micro-electro-mechanical systems (MEMS) technologies,
MEMS accelerometers show great potentialities for machine condition monitoring. To …

Most traditional overdamped monostable, bistable and even tristable stochastic resonance
(SR) methods have three shortcomings in weak characteristic extraction:(1) their potential …