This research provides a structured review of studies that utilize Artificial Intelligence for
safety and reliability. In particular, it focuses on Machine Learning techniques to perform …

Condition monitoring of induction motors (IM) among with the predictive maintenance
concept are currently among the most promising research topics of manufacturing industry …

Artificial intelligence (AI) is increasingly considered a source of competitive advantage in
operations and supply chain management (OSCM). However, many organisations still …

The monitoring of rotating machinery is an essential task in today's production processes.
Currently, several machine learning and deep learning-based modules have achieved …

Centrifugal pumps are an integral part of many industrial processes and are used
extensively in water supply, sewage, heating and cooling systems. While there are several …

Recently, prognostic and health management (PHM) has become a prominent field in
modern industry. The rotate vector (RV) reducer is one of the widely used mechanical …

Due to the growing interest for increasing productivity and cost reduction in industrial
environment, new techniques for monitoring rotating machinery are emerging. Artificial …

The domain of fault detection has seen tremendous growth in recent years. Because of the
growing demand for uninterrupted operations in different sectors, prognostics and health …

At present, the fourth industrial revolution is pushing factories toward an intelligent,
interconnected grid of machinery, communication systems, and computational resources …

Deep learning can play a pivotal role in early fault detection in squirrel cage induction
motors (SCIMs) and achieving Industry 4.0. SCIM finds application in industries like mining …