A study on transient enhancement for fault diagnosis based on an active noise control system

X. Tian, F. Gu, D. Zhen, V. T. Tran, A. D. Ball

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

Abstract

Active noise control (ANC) is a more effective technique used for acoustic noise cancelation in comparison with passive approaches which are difficult and expensive to implement, especially for cancelling the noise in the low frequency range. In the ANC system, an anti-noise signal is introduced to suppress the primary noise to produce a residual which are used for updating the adaptive filter coefficients. In this paper, a method of transient content enhancement for fault detection and diagnosis is investigated based on a laboratory ANC system. A number of simulation studies are conducted to evaluate the performance of the method using a typical filtered-x least mean square (FXLMS) algorithm under different types of noise signals. In the mean time, the algorithm is also adapted to achieve feature extraction under the condition of maintaining its noise cancelation performance. Moreover, experimental studies were carried out using noise signals from a heavy duty diesel engine to further demonstrate the performance obtained from simulation studies. The simulation and preliminary experimental results show that the investigated ANC algorithm can obtain an effective noise cancellation for sinusoidal signal in low frequency band and provide a residual signal with more non-stationary contents for developing diagnostic features.

LanguageEnglish
Title of host publication9th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies 2012, CM 2012 and MFPT 2012
PublisherBritish Institute of Non-Destructive Testing
Pages98-108
Number of pages11
Volume1
ISBN (Print)9781622764334
Publication statusPublished - Jan 2013
Event9th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies - London, United Kingdom
Duration: 12 Jun 201214 Jun 2012
Conference number: 9

Conference

Conference9th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies
Abbreviated titleCM / MFPT 2012
CountryUnited Kingdom
CityLondon
Period12/06/1214/06/12

Fingerprint

Active noise control
Acoustic noise
Failure analysis
Control systems
Adaptive filters
Fault detection
Frequency bands
Diesel engines
Feature extraction

Cite this

Tian, X., Gu, F., Zhen, D., Tran, V. T., & Ball, A. D. (2013). A study on transient enhancement for fault diagnosis based on an active noise control system. In 9th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies 2012, CM 2012 and MFPT 2012 (Vol. 1, pp. 98-108). British Institute of Non-Destructive Testing.
Tian, X. ; Gu, F. ; Zhen, D. ; Tran, V. T. ; Ball, A. D. / A study on transient enhancement for fault diagnosis based on an active noise control system. 9th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies 2012, CM 2012 and MFPT 2012. Vol. 1 British Institute of Non-Destructive Testing, 2013. pp. 98-108
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Tian, X, Gu, F, Zhen, D, Tran, VT & Ball, AD 2013, A study on transient enhancement for fault diagnosis based on an active noise control system. in 9th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies 2012, CM 2012 and MFPT 2012. vol. 1, British Institute of Non-Destructive Testing, pp. 98-108, 9th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies, London, United Kingdom, 12/06/12.

A study on transient enhancement for fault diagnosis based on an active noise control system. / Tian, X.; Gu, F.; Zhen, D.; Tran, V. T.; Ball, A. D.

9th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies 2012, CM 2012 and MFPT 2012. Vol. 1 British Institute of Non-Destructive Testing, 2013. p. 98-108.

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

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T1 - A study on transient enhancement for fault diagnosis based on an active noise control system

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AU - Gu, F.

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AU - Tran, V. T.

AU - Ball, A. D.

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N2 - Active noise control (ANC) is a more effective technique used for acoustic noise cancelation in comparison with passive approaches which are difficult and expensive to implement, especially for cancelling the noise in the low frequency range. In the ANC system, an anti-noise signal is introduced to suppress the primary noise to produce a residual which are used for updating the adaptive filter coefficients. In this paper, a method of transient content enhancement for fault detection and diagnosis is investigated based on a laboratory ANC system. A number of simulation studies are conducted to evaluate the performance of the method using a typical filtered-x least mean square (FXLMS) algorithm under different types of noise signals. In the mean time, the algorithm is also adapted to achieve feature extraction under the condition of maintaining its noise cancelation performance. Moreover, experimental studies were carried out using noise signals from a heavy duty diesel engine to further demonstrate the performance obtained from simulation studies. The simulation and preliminary experimental results show that the investigated ANC algorithm can obtain an effective noise cancellation for sinusoidal signal in low frequency band and provide a residual signal with more non-stationary contents for developing diagnostic features.

AB - Active noise control (ANC) is a more effective technique used for acoustic noise cancelation in comparison with passive approaches which are difficult and expensive to implement, especially for cancelling the noise in the low frequency range. In the ANC system, an anti-noise signal is introduced to suppress the primary noise to produce a residual which are used for updating the adaptive filter coefficients. In this paper, a method of transient content enhancement for fault detection and diagnosis is investigated based on a laboratory ANC system. A number of simulation studies are conducted to evaluate the performance of the method using a typical filtered-x least mean square (FXLMS) algorithm under different types of noise signals. In the mean time, the algorithm is also adapted to achieve feature extraction under the condition of maintaining its noise cancelation performance. Moreover, experimental studies were carried out using noise signals from a heavy duty diesel engine to further demonstrate the performance obtained from simulation studies. The simulation and preliminary experimental results show that the investigated ANC algorithm can obtain an effective noise cancellation for sinusoidal signal in low frequency band and provide a residual signal with more non-stationary contents for developing diagnostic features.

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Tian X, Gu F, Zhen D, Tran VT, Ball AD. A study on transient enhancement for fault diagnosis based on an active noise control system. In 9th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies 2012, CM 2012 and MFPT 2012. Vol. 1. British Institute of Non-Destructive Testing. 2013. p. 98-108