Early fault detection and real-time condition monitoring systems have become quite
significant for today's modern industrial systems. In a high volume of manufacturing facilities …

The integration of Industry 4.0 concepts into today's manufacturing settings has introduced
new technology tools that have already started providing companies an increased level of …

Accurate anomaly detection is critical to the early detection of potential failures of industrial
systems and proactive maintenance schedule management. There are some existing …

Purpose–The purpose of this paper is to explain the development and testing of a condition‐
monitoring sub‐module of an integrated plant maintenance management application based …

Systems health management (SHM) has emerged over recent years as significant
technologies that are making an impact on both military and commercial maintenance …

Today's digital world and evolving technology has improved the quality of our lives but it has
also come with a number of new threats. In the society of smart-cities and Industry 4.0, where …

Industrial equipment health management is an extension of traditional fault diagnosis, which
is a frontier research field of information science. The definition and application area of …

In the era of Industry 4.0, highly complex production equipment is becoming increasingly
integrated and intelligent, posing new challenges for data-driven process monitoring and …

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 …

The important part of mechanical equipment is rotating machinery, used mostly in industrial
machinery. Rolling element bearings are the utmost dominant part in rotating machinery, so …