Rotating equipment is considered as a key component in several industrial sectors. In fact,
the continuous operation of many industrial machines such as sub-sea pumps and gas …

The rolling element bearing is among the most frequently encountered component in a
rotating machine. Bearing fault can cause machinery breakdown and lead to productivity …

This paper presents an integrated approach for the detection and classification of the faults
of rolling bearing in rotary machines. Permutation entropy (PE) is integrated with a flexible …

The condition monitoring and multi-fault diagnosis of rolling bearing is a very important
research content in the field of the rotating machinery health management. Most researches …

This paper presents a new approach to intelligent fault diagnosis based on statistics
analysis, an improved distance evaluation technique and adaptive neuro-fuzzy inference …

The detection and diagnosis of bearing health status using vibration signal has been an
important subject for extensive research over the past few decades. The objective of this …

A new method is proposed in the present work for identifying fault severity in the ball
bearings. Proposed method named as multi-scale refined composite standard deviation …

A new method for intelligent fault diagnosis of rotating machinery based on wavelet packet
transform (WPT), empirical mode decomposition (EMD), dimensionless parameters, a …

Early fault diagnosis of rolling bearings is crucial to operating and maintenance cost
reduction of the equipment with bearings. This paper aims to propose a novel early fault …

Most intelligent fault diagnosis methods of rotating machinery generally consider that normal
samples and fault samples as equally important for pattern recognition training. It ignores …