Monitoring vibrations in rotating machinery allows effective diagnostics, as abnormal
functioning states are related to specific patterns that can be extracted from vibration signals …

Recently, with the development of industrial informatization and intellectualization, the
development of smart bearings has attracted a lot of significant attention in an attempt to …

Abstract Machine condition monitoring (MCM) plays an important role in reducing failure
losses in the industry. Appropriate wireless sensor nodes (WSNs) used in MCM will allow …

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

Most of the work on chatter detection is based on laboratory machining tests, thus without
the constraints of noise, the variety of situations to be managed in the industry, and the …

This review article systematically summarizes the existing literature on utilizing machine
learning (ML) techniques for the control and monitoring of electric machine drives. It is …

Microcontrollers and field-programmable gate arrays have been largely leveraged in
scientific instrumentation since decades. Recent advancements in the performance of these …

This review paper systematically summarizes the existing literature on applying classical AI
techniques and advanced deep learning algorithms to electric machine drives. It is …

Bearings are one of the most widely used components of rotary machines. To keep these
bearings running in the best condition, several techniques for the early diagnosis of faults …

In recent years, machine and quantum learning have gained considerable momentum
sustained by growth in computational power and data availability and have shown …