Bearing damage detection based on statistical discrimination of stator current

T. Lindh; Jero Ahola; Joni-Kristian Kamarainen; V. Kyrki; J. Partanen

doi:10.1109/DEMPED.2003.1234569

Bearing damage detection based on statistical discrimination of stator current

T. Lindh, Jero Ahola, Joni-Kristian Kamarainen, V. Kyrki, J. Partanen

LUT University

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

17 Citations (Scopus)

Abstract

In this study, a method is presented for discriminating stator current signals from two classes, motors in normal condition and ones with a bearing failure. The study has two main objectives, to verify the former results on the bearing fault detection based on the stator current, and to show the applicability of the proposed method for the diagnosis based on frequency content. The method is based on statistical analysis of Gabor filter responses. In the empirical part of this study where the method is applied to the real measurements, the results indicate that it is not possible to detect a bearing fault if the internal radial clearance of the bearing is not adequate.

Original language	English
Title of host publication	IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives, SDEMPED 2003 - Proceedings
Publisher	IEEE
Pages	177-181
Number of pages	5
ISBN (Print)	0780378385, 9780780378384
DOIs	https://doi.org/10.1109/DEMPED.2003.1234569
Publication status	Published - 2003
MoE publication type	A4 Conference publication
Event	IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives - Stone Mountain, United States Duration: 24 Aug 2003 → 26 Aug 2003 Conference number: 4

Conference

Conference	IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives
Abbreviated title	SDEMPED
Country/Territory	United States
City	Stone Mountain
Period	24/08/2003 → 26/08/2003

Keywords

Bandwidth
Condition monitoring
Failure analysis
Fault detection
Fault diagnosis
Frequency estimation
Induction motors
Information technology
Large Hadron Collider
Stators

Access to Document

10.1109/DEMPED.2003.1234569

Cite this

@inproceedings{3bdbfbcbca07462fad6da1871984a502,

title = "Bearing damage detection based on statistical discrimination of stator current",

abstract = "In this study, a method is presented for discriminating stator current signals from two classes, motors in normal condition and ones with a bearing failure. The study has two main objectives, to verify the former results on the bearing fault detection based on the stator current, and to show the applicability of the proposed method for the diagnosis based on frequency content. The method is based on statistical analysis of Gabor filter responses. In the empirical part of this study where the method is applied to the real measurements, the results indicate that it is not possible to detect a bearing fault if the internal radial clearance of the bearing is not adequate.",

keywords = "Bandwidth, Condition monitoring, Failure analysis, Fault detection, Fault diagnosis, Frequency estimation, Induction motors, Information technology, Large Hadron Collider, Stators",

author = "T. Lindh and Jero Ahola and Joni-Kristian Kamarainen and V. Kyrki and J. Partanen",

year = "2003",

doi = "10.1109/DEMPED.2003.1234569",

language = "English",

isbn = "0780378385",

pages = "177--181",

booktitle = "IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives, SDEMPED 2003 - Proceedings",

publisher = "IEEE",

address = "United States",

note = "IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives, SDEMPED ; Conference date: 24-08-2003 Through 26-08-2003",

}

Lindh, T, Ahola, J, Kamarainen, J-K, Kyrki, V & Partanen, J 2003, Bearing damage detection based on statistical discrimination of stator current. in IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives, SDEMPED 2003 - Proceedings., 1234569, IEEE, pp. 177-181, IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives, Stone Mountain, Georgia, United States, 24/08/2003. https://doi.org/10.1109/DEMPED.2003.1234569

Bearing damage detection based on statistical discrimination of stator current. / Lindh, T.; Ahola, Jero; Kamarainen, Joni-Kristian et al.
IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives, SDEMPED 2003 - Proceedings. IEEE, 2003. p. 177-181 1234569.

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

TY - GEN

T1 - Bearing damage detection based on statistical discrimination of stator current

AU - Lindh, T.

AU - Ahola, Jero

AU - Kamarainen, Joni-Kristian

AU - Kyrki, V.

AU - Partanen, J.

N1 - Conference code: 4

PY - 2003

Y1 - 2003

N2 - In this study, a method is presented for discriminating stator current signals from two classes, motors in normal condition and ones with a bearing failure. The study has two main objectives, to verify the former results on the bearing fault detection based on the stator current, and to show the applicability of the proposed method for the diagnosis based on frequency content. The method is based on statistical analysis of Gabor filter responses. In the empirical part of this study where the method is applied to the real measurements, the results indicate that it is not possible to detect a bearing fault if the internal radial clearance of the bearing is not adequate.

AB - In this study, a method is presented for discriminating stator current signals from two classes, motors in normal condition and ones with a bearing failure. The study has two main objectives, to verify the former results on the bearing fault detection based on the stator current, and to show the applicability of the proposed method for the diagnosis based on frequency content. The method is based on statistical analysis of Gabor filter responses. In the empirical part of this study where the method is applied to the real measurements, the results indicate that it is not possible to detect a bearing fault if the internal radial clearance of the bearing is not adequate.

KW - Bandwidth

KW - Condition monitoring

KW - Failure analysis

KW - Fault detection

KW - Fault diagnosis

KW - Frequency estimation

KW - Induction motors

KW - Information technology

KW - Large Hadron Collider

KW - Stators

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DO - 10.1109/DEMPED.2003.1234569

M3 - Conference article in proceedings

AN - SCOPUS:84947259468

SN - 0780378385

SN - 9780780378384

SP - 177

EP - 181

BT - IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives, SDEMPED 2003 - Proceedings

PB - IEEE

T2 - IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives

Y2 - 24 August 2003 through 26 August 2003

ER -

Bearing damage detection based on statistical discrimination of stator current

Abstract

Conference

Keywords

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