Conventional damage detection techniques are gradually being replaced by state-of-the-art
smart monitoring and decision-making solutions. Near real-time and online damage …

The field of prognostics has attracted significant interest from the research community in
recent times. Prognostics enables the prediction of failures in machines resulting in benefits …

Advanced manufacturing depends on the timely acquisition, distribution, and utilization of
information from machines and processes across spatial boundaries. These activities can …

Data-driven techniques, especially on artificial intelligence (AI) such as deep learning (DL)
techniques, have attracted more and more attention in the manufacturing sector because of …

Health condition monitoring for rotating machinery has been developed for many years due
to its potential to reduce the cost of the maintenance operations and increase availability …

Reliability is the ability of a product or system to perform as intended (ie, without failure and
within specified performance limits) for a specified time, in its life‐cycle environment …

Due to most failure mechanisms, such as fatigue crack growth and fatigue spall, the
degradation process of rotating machinery commonly exhibits two-stage features in …

High-power white light-emitting diodes (LEDs) have attracted much attention due to their
versatility in a variety of applications and growing demand in markets such as general …

Prognostic and health management (PHM) plays a vital role in ensuring the safety and
reliability of aircraft systems. The process entails the proactive surveillance and evaluation of …

Nowadays, huge amounts of data have been captured along with the day-to-day operation
of assets including railway systems. Hence, we have come to the era of big data. The …