Induction motor bearings diagnostic using MCSA and normalized tripple covariance

Tomasz Ciszewski; Leon Swędrowski; Len Gelman

doi:10.1109/DEMPED.2015.7303711

Induction motor bearings diagnostic using MCSA and normalized tripple covariance

Tomasz Ciszewski, Leon Swędrowski, Len Gelman

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Citations (Scopus)

Abstract

Diagnosis of induction motors, conducted remotely by measuring and analyzing the supply current is attractive with the lack of access to the engine. So far there is no solution, based on analysis of current, the credibility of which allow use in industry. Statistics of IM bearing failures of induction motors indicate, that they constitute more than 40% of IM damage, therefore bearing diagnosis is so important. The article provides an overview of selected methods of diagnosis of induction motor bearings, based on measurement of the supply current. The problem here is the high disturbance components level of the motor current in relation to diagnostic components. The paper presents the new approach to signal analysis solutions, based on statistical methods, which have been adapted to be used by this diagnostic system. First experimental results with use of this method are also presented, they confirm the advantages of this method.

Original language	English
Title of host publication	Proceedings - SDEMPED 2015
Subtitle of host publication	IEEE 10th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	333-337
Number of pages	5
ISBN (Electronic)	9781479977437
DOIs	https://doi.org/10.1109/DEMPED.2015.7303711
Publication status	Published - 21 Oct 2015
Externally published	Yes
Event	10th IEEE International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives - Guarda, Portugal Duration: 1 Sep 2015 → 4 Sep 2015 Conference number: 10

Conference

Conference	10th IEEE International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives
Abbreviated title	SDEMPED 2015
Country/Territory	Portugal
City	Guarda
Period	1/09/15 → 4/09/15

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10.1109/DEMPED.2015.7303711

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Ciszewski, T., Swędrowski, L., & Gelman, L. (2015). Induction motor bearings diagnostic using MCSA and normalized tripple covariance. In Proceedings - SDEMPED 2015: IEEE 10th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (pp. 333-337). [7303711] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/DEMPED.2015.7303711

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title = "Induction motor bearings diagnostic using MCSA and normalized tripple covariance",

abstract = "Diagnosis of induction motors, conducted remotely by measuring and analyzing the supply current is attractive with the lack of access to the engine. So far there is no solution, based on analysis of current, the credibility of which allow use in industry. Statistics of IM bearing failures of induction motors indicate, that they constitute more than 40% of IM damage, therefore bearing diagnosis is so important. The article provides an overview of selected methods of diagnosis of induction motor bearings, based on measurement of the supply current. The problem here is the high disturbance components level of the motor current in relation to diagnostic components. The paper presents the new approach to signal analysis solutions, based on statistical methods, which have been adapted to be used by this diagnostic system. First experimental results with use of this method are also presented, they confirm the advantages of this method.",

keywords = "Induction motor, motor current signature analysis (MCSA), motor diagnosis, signal processing",

author = "Tomasz Ciszewski and Leon Sw{\c e}drowski and Len Gelman",

year = "2015",

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day = "21",

doi = "10.1109/DEMPED.2015.7303711",

language = "English",

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booktitle = "Proceedings - SDEMPED 2015",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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Ciszewski, T, Swędrowski, L & Gelman, L 2015, Induction motor bearings diagnostic using MCSA and normalized tripple covariance. in Proceedings - SDEMPED 2015: IEEE 10th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives., 7303711, Institute of Electrical and Electronics Engineers Inc., pp. 333-337, 10th IEEE International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives, Guarda, Portugal, 1/09/15. https://doi.org/10.1109/DEMPED.2015.7303711

Induction motor bearings diagnostic using MCSA and normalized tripple covariance. / Ciszewski, Tomasz; Swędrowski, Leon; Gelman, Len.

Proceedings - SDEMPED 2015: IEEE 10th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives. Institute of Electrical and Electronics Engineers Inc., 2015. p. 333-337 7303711.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Induction motor bearings diagnostic using MCSA and normalized tripple covariance

AU - Ciszewski, Tomasz

AU - Swędrowski, Leon

AU - Gelman, Len

N1 - Conference code: 10

PY - 2015/10/21

Y1 - 2015/10/21

N2 - Diagnosis of induction motors, conducted remotely by measuring and analyzing the supply current is attractive with the lack of access to the engine. So far there is no solution, based on analysis of current, the credibility of which allow use in industry. Statistics of IM bearing failures of induction motors indicate, that they constitute more than 40% of IM damage, therefore bearing diagnosis is so important. The article provides an overview of selected methods of diagnosis of induction motor bearings, based on measurement of the supply current. The problem here is the high disturbance components level of the motor current in relation to diagnostic components. The paper presents the new approach to signal analysis solutions, based on statistical methods, which have been adapted to be used by this diagnostic system. First experimental results with use of this method are also presented, they confirm the advantages of this method.

AB - Diagnosis of induction motors, conducted remotely by measuring and analyzing the supply current is attractive with the lack of access to the engine. So far there is no solution, based on analysis of current, the credibility of which allow use in industry. Statistics of IM bearing failures of induction motors indicate, that they constitute more than 40% of IM damage, therefore bearing diagnosis is so important. The article provides an overview of selected methods of diagnosis of induction motor bearings, based on measurement of the supply current. The problem here is the high disturbance components level of the motor current in relation to diagnostic components. The paper presents the new approach to signal analysis solutions, based on statistical methods, which have been adapted to be used by this diagnostic system. First experimental results with use of this method are also presented, they confirm the advantages of this method.

KW - Induction motor

KW - motor current signature analysis (MCSA)

KW - motor diagnosis

KW - signal processing

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DO - 10.1109/DEMPED.2015.7303711

M3 - Conference contribution

AN - SCOPUS:84959256305

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BT - Proceedings - SDEMPED 2015

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 10th IEEE International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives

Y2 - 1 September 2015 through 4 September 2015

ER -

Induction motor bearings diagnostic using MCSA and normalized tripple covariance

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