Fault diagnosis of rotating machinery plays a significant role for the reliability and safety of
modern industrial systems. As an emerging field in industrial applications and an effective …

Accurate and efficient rotating machinery fault diagnosis is crucial for industries to guarantee
the productivity and reduce the maintenance cost. This paper systematically proposes a new …

Diagnosis and condition monitoring in rotating machinery has been a subject of intense
research for the last century. Recent developments indicate the drive towards integration of …

Compound fault, as a primary failure leading to unexpected downtime of rotating machinery,
dramatically increases the difficulty in fault diagnosis. To deal with the difficulty encountered …

To predict potential problems and avoid an unexpected breakdown of rotating machinery, a
rule-based classifier ensemble approach is presented. Feature reduction was first …

Due to the growing interest for increasing productivity and cost reduction in industrial
environment, new techniques for monitoring rotating machinery are emerging. Artificial …

Bearing faults of rotating machinery are observed as impulses in the vibration signal, but it is
mostly immersed in noise. In order to effectively remove this noise and detect the impulses, a …

Health monitoring (HM) in rotatory machinery is a process of developing a mechanism to
determine its state of deterioration. It involves analyzing the presence of damage, locating …

Machine failure in modern industry leads to lost production and reduced competitiveness.
Maintenance costs represent between 15% and 60% of the manufacturing cost of the final …

Application of deep-learning techniques has been increasing, which redefines state-of-the-
art technology, especially in industrial applications such as fault diagnosis and classification …