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 …

Abstract Intelligent Fault-Tolerant Control (IFTC) refers to the applications of machine
learning algorithms for fault diagnosis and design of Fault-Tolerant Control (FTC). The …

Safety is one of the key requirements for automated vehicles and fault diagnosis is an
effective technique to enhance the vehicle safety. The model-based fault diagnosis method …

Deep learning has attracted attentions in intelligent fault diagnosis of machinery because it
allows a deep network to accomplish the tasks of feature learning and fault classification …

Fault diagnosis is vital in manufacturing system. However, the first step of the traditional fault
diagnosis method is to process the signal, extract the features and then put the features into …

The fault detection and diagnosis (FDD) along with condition monitoring (CM) and of rotating
machinery (RM) have critical importance for early diagnosis to prevent severe damage 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 …

Rotating machines have been widely used in industrial engineering. The fault diagnosis of
rotating machines plays a vital important role to reduce the catastrophic failures and heavy …

In the case of a compound fault diagnosis of rotating machinery, when two failures with
unequal severity occur in distinct parts of the system, the detection of a minor fault is a …

Effective fault defection is of critical importance in condition-based maintenance to improve
the reliability of engineered systems and reduce operational cost. This paper introduces a …