Monitoring vibrations in rotating machinery allows effective diagnostics, as abnormal
functioning states are related to specific patterns that can be extracted from vibration signals …

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 …

Condition monitoring (CM) of mechanical systems such as gear transmissions can be
performed with vibration measurements and processing of the recorded signals for …

Fault diagnosis in rotating machines plays a vital role in various industries. Bearing is the
essential element of rotating machines, and early fault detection can reduce the …

Real-time condition monitoring (CM) through vibration measurements is instrumental in
detecting faults and enabling predictive maintenance for mechanical systems. The accuracy …

Constructing validated health indices (HIs) is main strategy for machine health monitoring.
Multichannel signals always contain richer condition information of machines than single …

Equipment standardisation as a cost-effective means of rationalising maintenance spares
has significantly increased the existence of several identical (similar components and …

Feature extraction is a key step of Prognostics and Health Management (PHM). To improve
the feature performance, a method based upon the modified composite spectrum and …

A manufacturing process is defined as the use of one or more physical mechanisms to
transform the shape and/or form and/or properties of a material. This chapter discusses AI …

Cutting condition monitoring is essential for managing the operation of machine tools in
manufacturing. The t-distributed stochastic neighbor embedding (t-SNE) method has been …