Rolling element bearings play a crucial role in the functioning of rotating machinery.
Recently, the use of diagnostics and prognostics methodologies assisted by artificial …

Wind turbine technology is experiencing rapid growth with respect to size, market share, and
technological design. Operational and maintenance cost directly determine whether the …

This paper presents a deep neural network (DNN) approach for induction motor fault
diagnosis. The approach utilizes sparse auto-encoder (SAE) to learn features, which …

Fault detection prior to their occurrence or complete shut-down in induction motor is
essential for the industries. The fault detection based on condition monitoring techniques …

Condition monitoring and fault diagnosis of induction motors serve as essential techniques
toward the reliable operation of critical industrial processes. The finite element method …

A rolling bearing is an essential component of a rotating mechanical transmission system. Its
performance and quality directly affects the life and reliability of machinery. Bearings' …

Induction motors are susceptible to many types of faults that can become catastrophic and
cause production stoppages. To predict emerging faults and avoid an unexpected failure, an …

Rolling element bearing is widely used in rotating machines and any bearing defect therein
can severely affect the overall machine performance. Vibration monitoring is often used to …

The most often used motor in commercial drives is the induction motor. While the induction
motor is operating, electrical, thermal, mechanical, magnetic, and environmental stresses …

Since loosening of the bolt connection reduce the stability and working accuracy of industrial
robot joint, developing and applying new detection methods to provide effective and reliable …