Publisher's Synopsis
Induction motor especially three phase induction motor plays vital role in the industry due to their advantages over other electrical motors. Induction motors are one of the most critical machine components in industry today. A breakdown of the motor can lead to the shutdown of a whole production line and results in expensive downtime. It is thus important to have a reliable condition monitoring (CM) and fault diagnosis system in place to continuously monitor the healthy condition of such machine components. Therefore, there is a strong demand for their reliable and safe operation. If any fault and failures occur in the motor it can lead to excessive downtimes and generate great losses in terms of revenue and maintenance. Therefore, an early fault detection is needed for the protection of the motor. Early fault detection of the motor can increase the machine performance and availability, reduce the consequential damage, prolong the machine useful lifespan, reduce spare parts inventories, prevent unexpected breakdown, and ensure timely maintenance schedules. Induction motor fault diagnosis has attracted considerable attention from researchers in recent years. This volume covers the diagnosis and assessment of the various faults which can occur in a three phase induction motor, such as rotor broken-bar faults, rotor-mass unbalance faults, stator winding faults, single phasing faults and others. Now-a-days, manufacturing companies of electrical machines are in need of easy and early fault detection techniques as they are attire by the customers. Though many researchers have developed many fault diagnosing techniques, user friendly software with automated long measurement process is needed so that the non-technical persons also can operate to identify the faults occurred. This volume presents state of the art coverage on fault diagnosis methods for induction motors is proposed to improve the reliability of motors using a combination of entropy feature extraction, mutual information, and support vector machine. In the present volume, a comprehensive survey of induction machine faults, diagnostic methods and future aspects in the health monitoring of induction motor has been discussed.
