Rotating machinery is one of the most typical types of mechanical equipment and plays a
significant role in industrial applications. Condition monitoring and fault diagnosis of rotating …

The vibration signals of rotating machinery present a strongly non-linear and non-Gaussian
behavior, and bispectrum is well suitable to analyze this kind of signals. Due to modulation …

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 …

A new weak fault diagnosis method based on feature reduction with Supervised Orthogonal
Local Fisher Discriminant Analysis (SOLFDA) is proposed. In this method, the Shannon …

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 …

Fault feature extraction plays an important role in rotating machinery fault diagnosis. With
progress in the development of signal processing methods, more and more features can be …

The fault diagnosis of rotating machinery has attracted considerable research attention in
recent years because such components as bearings and gears frequently suffer failure …

When an abnormal situation occurs in rotating machinery, fault feature information may be
scattered on multiple sensors, and fault feature extraction through a single sensor is not …

Safety, reliability, efficiency and performance of rotating machinery in all industrial
applications are the main concerns. Rotating machines are widely used in various industrial …

Identifying fault of rotating machinery under different load conditions with high accuracy is a
remaining challenge for vibration signal based fault diagnosis. Aiming at this challenge, this …