In modern industry, the quality of maintenance directly influences equipment's operational
uptime and efficiency. Hence, based on monitoring the condition of the machinery, predictive …

Given the growing amount of industrial data in the 4th industrial revolution, deep learning
solutions have become popular for predictive maintenance (PdM) tasks, which involve …

There is a constant call for reduction of operational and maintenance costs of induction
motors (IMs). These costs can be significantly reduced if the health of the system is …

Recently, research has picked up a fervent pace in the area of fault diagnosis of electrical
machines. The manufacturers and users of these drives are now keen to include diagnostic …

Deployment of larger scale wind turbine systems, particularly offshore, requires more
organized operation and maintenance strategies to ensure systems are safe, profitable and …

This work presents an approach to detect the inter-turn short-circuit (ITSC) faults in
permanent magnet synchronous motors (PMSMs) using machine learning. PMSMs possess …

Recent research has led to a deeper understanding of the nature and consequences of
interactions of materials on an atomic scale. The results have resonated throughout the field …

A fully expanded new edition documenting the significant improvements that have been
made to the tests and monitors of electrical insulation systems Electrical Insulation for …

Medium-voltage (MV) induction motors are widely used in the industry and are essential to
industrial processes. The breakdown of these MV motors not only leads to high repair …

Condition monitoring of induction motors is a fast emerging technology in the field of
electrical equipment maintenance and has attracted more and more attention worldwide as …