Idioma: Inglés
Publicado por VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2012
ISBN 10: 3846555347 ISBN 13: 9783846555347
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 78,90
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New. pp. 104.
Idioma: Inglés
Publicado por VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2012
ISBN 10: 3846555347 ISBN 13: 9783846555347
Librería: Majestic Books, Hounslow, Reino Unido
EUR 79,98
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New. Print on Demand pp. 104 2:B&W 6 x 9 in or 229 x 152 mm Perfect Bound on Creme w/Gloss Lam.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3846555347 ISBN 13: 9783846555347
Librería: moluna, Greven, Alemania
EUR 41,05
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Naghmash MajidKhaleel J.Hammady has been a full-time lecturer in the Department of Electronic Techniques, Institute of technology- Baghdad, Ministry of high education and scientific research/Iraq. Received his MS and PhD degree in El.
Idioma: Inglés
Publicado por VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2012
ISBN 10: 3846555347 ISBN 13: 9783846555347
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 80,56
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New. PRINT ON DEMAND pp. 104.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3846555347 ISBN 13: 9783846555347
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 49,59
Cantidad disponible: 1 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - There are many condition monitoring methods such as vibration monitoring, thermal monitoring, chemical monitoring and acoustic emission monitoring. But all of these monitoring methods require expensive sensors and specialized tools. However, the condition monitoring method and fault diagnosis based on motor current signature are a better option since they do not require additional sensors. In this research, a novel criterion function of wavelet processing signal is introduced to diagnose the broken rotor bars in three-phase squirrel cage induction motors. This criterion function facilitates the precise diagnosis of the faults in induction motors under load variations. It uses wavelet transforms available in LabView software to process the stator current signals in the faulty induction motors to extract the wavelet coefficients in a specific time-frequency bands. Furthermore, spectrum analysis of the stator currents around the fundamental frequency is used to diagnose the faults. It is shown that the amplitudes of the frequency harmonics components fb=fs(1±2s) are influenced by the number of broken rotor bars, the exact location of broken rotor bars and the motor loading condition.