Deep learning has attracted intense interest in Prognostics and Health Management (PHM),
because of its enormous representing power, automated feature learning capability and best …

The availability of computational power in the domain of Prognostics and Health
Management (PHM) with deep learning (DL) applications has attracted researchers …

In most of the fault detection methods, the time domain signals collected from the
mechanical equipment usually need to be transformed into frequency domain or other high …

The changing nature of manufacturing, in recent years, is evident in industry's willingness to
adopt network-connected intelligent machines in their factory development plans. A number …

During the last decade, digitalization has borne tremendous changes on the way we live
and do business. Industry 4.0, the new industrial revolution, is merging the physical, digital …

Most organizations focus on intrusion prevention technologies, with less emphasis on
prediction and detection. This research looks at prediction and detection in the railway …

The fifth-generation (5G) wireless network technologies and mobile-edge computing (MEC)
provide great promises of enabling new capabilities for the industrial Internet of Things (IoT) …

Purpose–The purpose of this paper is to develop a prototype system to demonstrate the
potential benefits of deploying mobile technology to enhance asset maintenance processes …

Digitalisation has brought many positive changes towards operation and maintenance of
railway system. Emerging digital technologies facilitate the implementation of enhanced …

iMaintenance stands for integrated, intelligent and immediate maintenance. It integrates
various maintenance functions and connects these to all devices using advanced …