Induction Motor Condition Monitoring for Sustainable Manufacturing

Induction Motor Condition Monitoring Using Fuzzy Logic

Induction machines play a vital role in industry and there is a strong demand for their reliable and safe operation. They are generally reliable but eventually do wear out. Faults and failures of induction machines can lead to excessive downtimes and generate large losses in terms of maintenance and lost revenues, and this motivates the examination of on-line condition monitoring. The major dif...

A Hybrid Intelligent Technique for Induction Motor Condition Monitoring

The objective of this research is to advance the field of condition monitoring and fault diagnosis for induction motors. This involves processing the signals produced by induction motors, classifying the types and estimating the severity of induction motors faults. A typical process of condition monitoring and fault diagnosis for induction motors consists of four steps: data acquisition, signal...

An Intelligent System for Induction Motor Health Condition Monitoring

Condition monitoring of manufacturing processes

Novelty Detection is an approach to classification that offers advantages over conventional techniques for monitoring high-integrity systems and manufacturing processes: it is not necessary to provide fault data to the system during development. Instead, providing a sufficiently comprehensive model of the system‟s normal behaviour has been formed, deviations from normal working conditions can b...

Condition Monitoring Methodology for Manufacturing and Design

Part production requires constant monitoring to assure the effective manufacturing of high-quality components. The choice of monitoring methods can become a crucial factor in the decisions made during and prior to manufacturing. In an ideal world, designers and manufacturers will work together to interpret manufacturing and part data to assure the elimination of faults in manufacturing. However...