Language: English
Published by LAP LAMBERT Academic Publishing, 2017
ISBN 10: 6202026340 ISBN 13: 9786202026345
Seller: Revaluation Books, Exeter, United Kingdom
Paperback. Condition: Brand New. 52 pages. 8.66x5.91x0.12 inches. In Stock.
Language: English
Published by LAP LAMBERT Academic Publishing, 2017
ISBN 10: 6202026340 ISBN 13: 9786202026345
Seller: moluna, Greven, Germany
Condition: New.
Language: English
Published by LAP LAMBERT Academic Publishing, 2017
ISBN 10: 6202026340 ISBN 13: 9786202026345
Seller: preigu, Osnabrück, Germany
Taschenbuch. Condition: Neu. Diagnosis of the Induction Machine based on Finite Element Method | Broken Rotor Bar and Dynamic Eccentricity Identification | Seghiour Abdellatif | Taschenbuch | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9786202026345 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Language: English
Published by LAP LAMBERT Academic Publishing Sep 2017, 2017
ISBN 10: 6202026340 ISBN 13: 9786202026345
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This Book presents a method for the diagnosis of induction machines faults. The proposed method is capable to detect the presence of both dynamic eccentricity and broken rotor bar faults. Several studies have attempted to model an induction machine with isolated faults and provide methods for detecting them. However, the challenge begins, with the occurrence of combined defects which produce fault signatures that are difficult to separate. The novel proposed method is based on the measured air-gap magnetic flux density spectrum, which allows for the detection of combined faults. A finite element method is used for modelling the induction machine under faulty conditions, where the faults of rotor bars are created by a deleting operation of the boundary condition which is added to the air-gap part. Then, the dynamic eccentricity is formed by the movements of the rotating rotor's centre with different ratings. From a modelling perspective, the contribution of the current work is the establishment of the relation of the air-gap of the rotor for modelling this kind of eccentricity fault. 52 pp. Englisch.
Language: English
Published by LAP LAMBERT Academic Publishing Sep 2017, 2017
ISBN 10: 6202026340 ISBN 13: 9786202026345
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This Book presents a method for the diagnosis of induction machines faults. The proposed method is capable to detect the presence of both dynamic eccentricity and broken rotor bar faults. Several studies have attempted to model an induction machine with isolated faults and provide methods for detecting them. However, the challenge begins, with the occurrence of combined defects which produce fault signatures that are difficult to separate. The novel proposed method is based on the measured air-gap magnetic flux density spectrum, which allows for the detection of combined faults. A finite element method is used for modelling the induction machine under faulty conditions, where the faults of rotor bars are created by a deleting operation of the boundary condition which is added to the air-gap part. Then, the dynamic eccentricity is formed by the movements of the rotating rotor's centre with different ratings. From a modelling perspective, the contribution of the current work is the establishment of the relation of the air-gap of the rotor for modelling this kind of eccentricity fault.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 52 pp. Englisch.
Language: English
Published by LAP LAMBERT Academic Publishing, 2017
ISBN 10: 6202026340 ISBN 13: 9786202026345
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This Book presents a method for the diagnosis of induction machines faults. The proposed method is capable to detect the presence of both dynamic eccentricity and broken rotor bar faults. Several studies have attempted to model an induction machine with isolated faults and provide methods for detecting them. However, the challenge begins, with the occurrence of combined defects which produce fault signatures that are difficult to separate. The novel proposed method is based on the measured air-gap magnetic flux density spectrum, which allows for the detection of combined faults. A finite element method is used for modelling the induction machine under faulty conditions, where the faults of rotor bars are created by a deleting operation of the boundary condition which is added to the air-gap part. Then, the dynamic eccentricity is formed by the movements of the rotating rotor's centre with different ratings. From a modelling perspective, the contribution of the current work is the establishment of the relation of the air-gap of the rotor for modelling this kind of eccentricity fault.