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Fault Diagnosis of Induction Motors (Energy Engineering) (en Inglés)
Jawad Faiz; Vahid Ghorbanian; Gojko Joksimovic (Autor)
·
Institution Of Engineering And Technology
· Tapa Dura
Fault Diagnosis of Induction Motors (Energy Engineering) (en Inglés) - Jawad Faiz; Vahid Ghorbanian; Gojko Joksimovic
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Origen: Estados Unidos
(Costos de importación incluídos en el precio)
Se enviará desde nuestra bodega entre el
Jueves 20 de Junio y el
Martes 02 de Julio.
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Reseña del libro "Fault Diagnosis of Induction Motors (Energy Engineering) (en Inglés)"
Induction motors are still among the most reliable and important electrical machines. The wide range of their use involves various electrical, magnetic, thermal and mechanical stresses which results in the need for fault diagnosis as part of the maintenance. A yet unreached goal is the development of a generalized, practical approach enabling industry to accurately diagnose different potential induction motor faults. Fault Diagnosis of Induction Motors aims to fill this gap by focusing on theoretical, experimental and computer aided processes for fault diagnosis, building a comprehensive, structural approach allowing users to select the proper diagnosis strategy. Topics covered include condition monitoring and fault diagnosis of induction motors; the theory of line-start and inverter-fed induction motors; induction motor faults basics, developments and laboratory-scale implementation; magneto-motive force waves in healthy three-phase induction motors; multiple coupled circuit model of induction motors; finite element implementation of induction motors in healthy and faulty conditions; signal processing techniques utilized in fault diagnosis procedures; diagnosis of broken bars fault in induction motors; diagnosis of eccentricity fault in induction motors; and diagnosis of inter-turn short circuit fault in induction motors. This work is essential reading for researchers and technicians involved with motor-drive applications and their related maintenance procedures or dealing with applications of signal processing techniques.
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