Intelligent fault diagnosis (IFD) refers to applications of machine learning theories to
machine fault diagnosis. This is a promising way to release the contribution from human …

The hydrogen-enriched natural gas engines (HENGEs) have recently found huge popularity.
Despite the broad range of applications of the HENGE, their environmentally-associated …

Predictive maintenance is one of the major tasks in today's modern industries. All rotating
machines consisting of rotating elements such as gears, bearings etc are considered as the …

Currently, accuracy of existing diesel engine fault diagnosis methods under strong noise
and generalisation performance between different noise levels are still limited. A novel multi …

Artificial neural network (ANN) methods have been rapidly developed and applied in solving
nonlinear small sample problems. In this paper, an improved particle swarm algorithm …

Although machine learning-based intelligent detection methods have made many
achievements for diesel engine misfire diagnosis, they suffer from a certain degree of …

In this paper, two multifault diagnosis methods based on improved support vector machine
(SVM) are proposed for sensor fault detection and identification respectively. First, online …

Real-time fault diagnostic system is very important to maintain the operation of the gas
turbine generator system (GTGS) in power plants, where any abnormal situation will …

In this paper a novel method for de-noising nonstationary vibration signal and diagnosing
diesel engine faults is presented. The method is based on the adaptive wavelet threshold …

The modern battlefield is getting more complicated due to the increasing number of different
radiation sources as well as their fierce contention (interference) and confrontations …