The study of signals, processes, and systems has motivated the development of different
representations that can be used to analyze and understand them. Classical ways of …

The occurrence of multiple faults is a practical problem in the bearings of rotating machines,
and early diagnosis of such issues in an intelligent manner is vital in the era of industry 4.0 …

Indirect bridge health monitoring (iBHM) has gained significant attention in recent years as
an alternative to direct bridge monitoring techniques. iBHM leverages the use of a vehicle …

The safety concerns of transport infrastructure around the world have significantly increased
over the past few years and pose a significant threat to the public and economic well-being …

Cities worldwide have been plagued by water pipe leaks for many decades, resulting in
financial losses, public health risks, and environmental impacts. Current practice still relies …

This study examines the impact of the mother wavelet, sensor selection, and machine
learning (ML) models for smart fault diagnosis of rotating machines via discrete wavelet …

The non-invasive electrocardiogram (ECG) signals are useful in heart condition assessment
and are found helpful in diagnosing cardiac diseases. However, traditional ways, ie, a …

Retrofitting and maintenance of bridges using vehicle-induced measurements have
attracted increasing attention in the field of vibration-based bridge health monitoring. In this …

Intelligent fault diagnostics is an essential part of the concept of Industry 4.0. Most of the
developed techniques are usually tested by the same dataset whose data is acquired under …

High-rate systems are defined as engineering systems that undergo accelerations of
amplitudes typically greater than 100 gn over less than 100 ms. Examples include adaptive …