Condition monitoring and faults diagnosis of induction motors: electrical signature analysis
The purpose of this book is to explore developments in the condition monitoring and diagnostic approach of induction motors using electrical signature analysis of motor currents. It covers various issues related to machinery condition monitoring, signal processing and conditioning, instrumentation a...
Gespeichert in:
Hauptverfasser: | , , |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Boca Raton, FL
CRC Press/Taylor & Francis Group
[2019]
|
Schlagworte: | |
Online-Zugang: | FHI01 Volltext |
Zusammenfassung: | The purpose of this book is to explore developments in the condition monitoring and diagnostic approach of induction motors using electrical signature analysis of motor currents. It covers various issues related to machinery condition monitoring, signal processing and conditioning, instrumentation and measurements, faults for induction motors failures, new trends in condition monitoring, and pays special attention to the fault identification process using motor currents electrical signature analysis. The book presents a new non-invasive and non-intrusive condition monitoring system, which has the capability to detect various defects in induction motor at incipient stages within an arbitrary noise conditions. An adaptive threshold has been designed to deal with signal noise ambiguities for decision-making on the existence of small fault signatures. The performance of the developed system has been analyzed theoretically and experimentally under various loading conditions of the motor |
Beschreibung: | 1 Online-Ressource (xix, 150 Seiten) |
ISBN: | 9781351172561 |
DOI: | 10.1201/9781351172561 |
Internformat
MARC
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245 | 1 | 0 | |a Condition monitoring and faults diagnosis of induction motors |b electrical signature analysis |c Nordin Saad, Muhammad Irfan, Rosdiazli Ibrahim |
264 | 1 | |a Boca Raton, FL |b CRC Press/Taylor & Francis Group |c [2019] | |
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520 | |a The purpose of this book is to explore developments in the condition monitoring and diagnostic approach of induction motors using electrical signature analysis of motor currents. It covers various issues related to machinery condition monitoring, signal processing and conditioning, instrumentation and measurements, faults for induction motors failures, new trends in condition monitoring, and pays special attention to the fault identification process using motor currents electrical signature analysis. The book presents a new non-invasive and non-intrusive condition monitoring system, which has the capability to detect various defects in induction motor at incipient stages within an arbitrary noise conditions. An adaptive threshold has been designed to deal with signal noise ambiguities for decision-making on the existence of small fault signatures. The performance of the developed system has been analyzed theoretically and experimentally under various loading conditions of the motor | ||
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Datensatz im Suchindex
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any_adam_object | |
author | Saad, Nordin Irfan, Muhammad Ibrahim, Rosdiazli |
author_facet | Saad, Nordin Irfan, Muhammad Ibrahim, Rosdiazli |
author_role | aut aut aut |
author_sort | Saad, Nordin |
author_variant | n s ns m i mi r i ri |
building | Verbundindex |
bvnumber | BV045267983 |
callnumber-first | T - Technology |
callnumber-label | TK2785 |
callnumber-raw | TK2785 |
callnumber-search | TK2785 |
callnumber-sort | TK 42785 |
callnumber-subject | TK - Electrical and Nuclear Engineering |
classification_rvk | ZN 8250 ZN 8200 ZN 8285 |
collection | ZDB-7-TFC |
ctrlnum | (OCoLC)1083269717 (DE-599)BVBBV045267983 |
dewey-full | 621.46 |
dewey-hundreds | 600 - Technology (Applied sciences) |
dewey-ones | 621 - Applied physics |
dewey-raw | 621.46 |
dewey-search | 621.46 |
dewey-sort | 3621.46 |
dewey-tens | 620 - Engineering and allied operations |
discipline | Maschinenbau / Maschinenwesen Elektrotechnik / Elektronik / Nachrichtentechnik |
doi_str_mv | 10.1201/9781351172561 |
format | Electronic eBook |
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illustrated | Not Illustrated |
indexdate | 2024-07-10T08:13:22Z |
institution | BVB |
isbn | 9781351172561 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030655805 |
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physical | 1 Online-Ressource (xix, 150 Seiten) |
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publishDate | 2019 |
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publisher | CRC Press/Taylor & Francis Group |
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spelling | Saad, Nordin aut Condition monitoring and faults diagnosis of induction motors electrical signature analysis Nordin Saad, Muhammad Irfan, Rosdiazli Ibrahim Boca Raton, FL CRC Press/Taylor & Francis Group [2019] 1 Online-Ressource (xix, 150 Seiten) txt rdacontent c rdamedia cr rdacarrier The purpose of this book is to explore developments in the condition monitoring and diagnostic approach of induction motors using electrical signature analysis of motor currents. It covers various issues related to machinery condition monitoring, signal processing and conditioning, instrumentation and measurements, faults for induction motors failures, new trends in condition monitoring, and pays special attention to the fault identification process using motor currents electrical signature analysis. The book presents a new non-invasive and non-intrusive condition monitoring system, which has the capability to detect various defects in induction motor at incipient stages within an arbitrary noise conditions. An adaptive threshold has been designed to deal with signal noise ambiguities for decision-making on the existence of small fault signatures. The performance of the developed system has been analyzed theoretically and experimentally under various loading conditions of the motor Electric motors, Induction Testing Diagnosesystem (DE-588)4149458-1 gnd rswk-swf Zustandsüberwachung (DE-588)4369492-5 gnd rswk-swf Asynchronmaschine (DE-588)4003345-4 gnd rswk-swf Fehlererkennung (DE-588)4133764-5 gnd rswk-swf Zustandsüberwachung (DE-588)4369492-5 s Fehlererkennung (DE-588)4133764-5 s Diagnosesystem (DE-588)4149458-1 s Asynchronmaschine (DE-588)4003345-4 s DE-604 Irfan, Muhammad aut Ibrahim, Rosdiazli aut Erscheint auch als Druck-Ausgabe 978-0-8153-8995-8 https://doi.org/10.1201/9781351172561 Verlag URL des Erstveröffentlichers Volltext |
spellingShingle | Saad, Nordin Irfan, Muhammad Ibrahim, Rosdiazli Condition monitoring and faults diagnosis of induction motors electrical signature analysis Electric motors, Induction Testing Diagnosesystem (DE-588)4149458-1 gnd Zustandsüberwachung (DE-588)4369492-5 gnd Asynchronmaschine (DE-588)4003345-4 gnd Fehlererkennung (DE-588)4133764-5 gnd |
subject_GND | (DE-588)4149458-1 (DE-588)4369492-5 (DE-588)4003345-4 (DE-588)4133764-5 |
title | Condition monitoring and faults diagnosis of induction motors electrical signature analysis |
title_auth | Condition monitoring and faults diagnosis of induction motors electrical signature analysis |
title_exact_search | Condition monitoring and faults diagnosis of induction motors electrical signature analysis |
title_full | Condition monitoring and faults diagnosis of induction motors electrical signature analysis Nordin Saad, Muhammad Irfan, Rosdiazli Ibrahim |
title_fullStr | Condition monitoring and faults diagnosis of induction motors electrical signature analysis Nordin Saad, Muhammad Irfan, Rosdiazli Ibrahim |
title_full_unstemmed | Condition monitoring and faults diagnosis of induction motors electrical signature analysis Nordin Saad, Muhammad Irfan, Rosdiazli Ibrahim |
title_short | Condition monitoring and faults diagnosis of induction motors |
title_sort | condition monitoring and faults diagnosis of induction motors electrical signature analysis |
title_sub | electrical signature analysis |
topic | Electric motors, Induction Testing Diagnosesystem (DE-588)4149458-1 gnd Zustandsüberwachung (DE-588)4369492-5 gnd Asynchronmaschine (DE-588)4003345-4 gnd Fehlererkennung (DE-588)4133764-5 gnd |
topic_facet | Electric motors, Induction Testing Diagnosesystem Zustandsüberwachung Asynchronmaschine Fehlererkennung |
url | https://doi.org/10.1201/9781351172561 |
work_keys_str_mv | AT saadnordin conditionmonitoringandfaultsdiagnosisofinductionmotorselectricalsignatureanalysis AT irfanmuhammad conditionmonitoringandfaultsdiagnosisofinductionmotorselectricalsignatureanalysis AT ibrahimrosdiazli conditionmonitoringandfaultsdiagnosisofinductionmotorselectricalsignatureanalysis |