MCSA with Normalized Triple Covariance as a bearings diagnostic indicator in an induction motor

Tomasz Ciszewski, Len Gelman, Leon Swedrowski

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Statistics of bearing failures in induction motors indicate, that they constitute more than 40% of IM damage, therefore bearing diagnosis is very important. Vibration methods for bearing diagnostics have one major disadvantage - they require the availability of the machine for sensors installation. This is the reason for seeking new methods based on motor supply current analysis. Diagnosis of induction motors, conducted remotely by measuring and analyzing the supply current is attractive with the lack of free access to the engine. So far, there is no solution based on analysis of current, the credibility of which allows use in industry. 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 the use of this method confirm the advantages of the presented method.

LanguageEnglish
Title of host publication13th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies, CM 2016/MFPT 2016
PublisherBritish Institute of Non-Destructive Testing
Publication statusPublished - 2016
Externally publishedYes
Event13th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies - Paris, France
Duration: 10 Oct 201612 Oct 2016

Conference

Conference13th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies
Abbreviated titleCM & MFPT 2016
CountryFrance
CityParis
Period10/10/1612/10/16

Fingerprint

Bearings (structural)
Induction motors
Signal analysis
Statistical methods
Statistics
Availability
Engines
Sensors
Industry

Cite this

Ciszewski, T., Gelman, L., & Swedrowski, L. (2016). MCSA with Normalized Triple Covariance as a bearings diagnostic indicator in an induction motor. In 13th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies, CM 2016/MFPT 2016 British Institute of Non-Destructive Testing.
Ciszewski, Tomasz ; Gelman, Len ; Swedrowski, Leon. / MCSA with Normalized Triple Covariance as a bearings diagnostic indicator in an induction motor. 13th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies, CM 2016/MFPT 2016. British Institute of Non-Destructive Testing, 2016.
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title = "MCSA with Normalized Triple Covariance as a bearings diagnostic indicator in an induction motor",
abstract = "Statistics of bearing failures in induction motors indicate, that they constitute more than 40{\%} of IM damage, therefore bearing diagnosis is very important. Vibration methods for bearing diagnostics have one major disadvantage - they require the availability of the machine for sensors installation. This is the reason for seeking new methods based on motor supply current analysis. Diagnosis of induction motors, conducted remotely by measuring and analyzing the supply current is attractive with the lack of free access to the engine. So far, there is no solution based on analysis of current, the credibility of which allows use in industry. 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 the use of this method confirm the advantages of the presented method.",
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Ciszewski, T, Gelman, L & Swedrowski, L 2016, MCSA with Normalized Triple Covariance as a bearings diagnostic indicator in an induction motor. in 13th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies, CM 2016/MFPT 2016. British Institute of Non-Destructive Testing, 13th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies, Paris, France, 10/10/16.

MCSA with Normalized Triple Covariance as a bearings diagnostic indicator in an induction motor. / Ciszewski, Tomasz; Gelman, Len; Swedrowski, Leon.

13th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies, CM 2016/MFPT 2016. British Institute of Non-Destructive Testing, 2016.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - MCSA with Normalized Triple Covariance as a bearings diagnostic indicator in an induction motor

AU - Ciszewski, Tomasz

AU - Gelman, Len

AU - Swedrowski, Leon

PY - 2016

Y1 - 2016

N2 - Statistics of bearing failures in induction motors indicate, that they constitute more than 40% of IM damage, therefore bearing diagnosis is very important. Vibration methods for bearing diagnostics have one major disadvantage - they require the availability of the machine for sensors installation. This is the reason for seeking new methods based on motor supply current analysis. Diagnosis of induction motors, conducted remotely by measuring and analyzing the supply current is attractive with the lack of free access to the engine. So far, there is no solution based on analysis of current, the credibility of which allows use in industry. 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 the use of this method confirm the advantages of the presented method.

AB - Statistics of bearing failures in induction motors indicate, that they constitute more than 40% of IM damage, therefore bearing diagnosis is very important. Vibration methods for bearing diagnostics have one major disadvantage - they require the availability of the machine for sensors installation. This is the reason for seeking new methods based on motor supply current analysis. Diagnosis of induction motors, conducted remotely by measuring and analyzing the supply current is attractive with the lack of free access to the engine. So far, there is no solution based on analysis of current, the credibility of which allows use in industry. 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 the use of this method confirm the advantages of the presented method.

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M3 - Conference contribution

BT - 13th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies, CM 2016/MFPT 2016

PB - British Institute of Non-Destructive Testing

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Ciszewski T, Gelman L, Swedrowski L. MCSA with Normalized Triple Covariance as a bearings diagnostic indicator in an induction motor. In 13th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies, CM 2016/MFPT 2016. British Institute of Non-Destructive Testing. 2016