An Online Universal Diagnosis Procedure Using Two External Flux Sensors Applied to the AC Electrical Rotating Machines
This paper presents an original non-invasive procedure for the diagnosis of electromagnetic devices, as well as AC electrical rotating machines using two external flux coil sensors that measure the external magnetic field in the machines’ vicinity. The diagnosis exploits the signal delivered by the...
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Format: | Article |
Language: | English |
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MDPI AG
2010-11-01
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Series: | Sensors |
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Online Access: | http://www.mdpi.com/1424-8220/10/11/10448/ |
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author | Andrian Ceban Jean-François Brudny Remus Pusca Raphael Romary |
author_facet | Andrian Ceban Jean-François Brudny Remus Pusca Raphael Romary |
author_sort | Andrian Ceban |
collection | DOAJ |
description | This paper presents an original non-invasive procedure for the diagnosis of electromagnetic devices, as well as AC electrical rotating machines using two external flux coil sensors that measure the external magnetic field in the machines’ vicinity. The diagnosis exploits the signal delivered by the two sensors placed in particular positions. Contrary to classical methods using only one sensor, the presented method does not require any knowledge of a presumed machine’s healthy former state. On the other hand, the loading operating is not a disturbing factor but it is used to the fault discrimination. In order to present this procedure, an internal stator inter-turn short-circuit fault is considered as well. |
first_indexed | 2024-04-11T21:30:33Z |
format | Article |
id | doaj.art-aa84ee2e553b4cb782aeb00625b1f16c |
institution | Directory Open Access Journal |
issn | 1424-8220 |
language | English |
last_indexed | 2024-04-11T21:30:33Z |
publishDate | 2010-11-01 |
publisher | MDPI AG |
record_format | Article |
series | Sensors |
spelling | doaj.art-aa84ee2e553b4cb782aeb00625b1f16c2022-12-22T04:02:01ZengMDPI AGSensors1424-82202010-11-011011104481046610.3390/s101110448An Online Universal Diagnosis Procedure Using Two External Flux Sensors Applied to the AC Electrical Rotating MachinesAndrian CebanJean-François BrudnyRemus PuscaRaphael RomaryThis paper presents an original non-invasive procedure for the diagnosis of electromagnetic devices, as well as AC electrical rotating machines using two external flux coil sensors that measure the external magnetic field in the machines’ vicinity. The diagnosis exploits the signal delivered by the two sensors placed in particular positions. Contrary to classical methods using only one sensor, the presented method does not require any knowledge of a presumed machine’s healthy former state. On the other hand, the loading operating is not a disturbing factor but it is used to the fault discrimination. In order to present this procedure, an internal stator inter-turn short-circuit fault is considered as well.http://www.mdpi.com/1424-8220/10/11/10448/AC motorsfault diagnosismagnetic field sensorsmaintenance |
spellingShingle | Andrian Ceban Jean-François Brudny Remus Pusca Raphael Romary An Online Universal Diagnosis Procedure Using Two External Flux Sensors Applied to the AC Electrical Rotating Machines Sensors AC motors fault diagnosis magnetic field sensors maintenance |
title | An Online Universal Diagnosis Procedure Using Two External Flux Sensors Applied to the AC Electrical Rotating Machines |
title_full | An Online Universal Diagnosis Procedure Using Two External Flux Sensors Applied to the AC Electrical Rotating Machines |
title_fullStr | An Online Universal Diagnosis Procedure Using Two External Flux Sensors Applied to the AC Electrical Rotating Machines |
title_full_unstemmed | An Online Universal Diagnosis Procedure Using Two External Flux Sensors Applied to the AC Electrical Rotating Machines |
title_short | An Online Universal Diagnosis Procedure Using Two External Flux Sensors Applied to the AC Electrical Rotating Machines |
title_sort | online universal diagnosis procedure using two external flux sensors applied to the ac electrical rotating machines |
topic | AC motors fault diagnosis magnetic field sensors maintenance |
url | http://www.mdpi.com/1424-8220/10/11/10448/ |
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