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Bearing fault class...
Bearing fault classification based on minimum volume ellipsoid feature extraction
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- Mustafa, Mohammed Obaid (author)
- Luleå tekniska universitet,Signaler och system
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- Georgoulas, George (author)
- Department of Informatics and Communications Technology, Technical Educational Institute of Epirus, 47100 Artas, Kostakioi
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- Nikolakopoulos, George (author)
- Luleå tekniska universitet,Signaler och system
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(creator_code:org_t)
- 2013
- 2013
- English.
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In: 2013 IEEE Multiconference on Systems and Control (MSC), Hyderabad, India, August, 28-30, 2013. ; , s. 1177-1182
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Abstract
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- This article presents a novel fault classification and diagnosis technique for bearings based on a Minimum Volume Ellipsoid (MVE) method for feature extraction. Data from two accelerometers located at two different sights of the test bed are combined to create a two dimensional representation and the feature extraction stage condenses that information using an ellipsoid description. The proposed features feed a simple non-linear classifier which separates almost perfectly between normal and faulty conditions, with also very high diagnostic accuracy between the faulty classes. The obtained results suggest that this novel representation can be used within a condition monitoring system.
Subject headings
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Reglerteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Control Engineering (hsv//eng)
Keyword
- Reglerteknik
- Control Engineering
Publication and Content Type
- ref (subject category)
- kon (subject category)
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