Characterisation of acoustic emissions for the frictional effect in engines using wavelets based multi-resolution analysis

Nasha Wei, Fengshou Gu, Tie Wang, Guoxing Li, Yuandong Xu, Longjie Yang, Andrew D. Ball

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

6 Citations (Scopus)

Abstract

The friction between piston ring-cylinder liner is a major cause of energy losses in internal combustion engines. However, no experimental method is available to measure and analyze the fictional behavior. This paper focuses on the investigation of using acoustic emission (AE) to characterize the friction online. To separate the effect relating to friction sources, wavelets multi-resolution analysis is used to suppress interfering AE events due to valve impacts and combustion progress. Then a wavelet envelope indicator is developed to highlight AE contents from friction induced AE contents. The results show that the AE contents in the middle strokes correlate closely with viscous friction process as their amplitudes exhibit a continuous profile similar to piston speed. Furthermore, the AE envelope indicator proposed can distinguish the differences between two types of lubrication oils, showing superior performance of AE based online lubrication diagnosis.

Original languageEnglish
Title of host publication2015 21st International Conference on Automation and Computing: Automation, Computing and Manufacturing for New Economic Growth, ICAC 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9780992680107
DOIs
Publication statusPublished - 30 Oct 2015
Event21st International Conference on Automation and Computing: Automation, Computing and Manufacturing for New Economic Growth - University of Strathclyde, Glasgow, United Kingdom
Duration: 11 Sep 201512 Sep 2015
Conference number: 21
https://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=7301994 (Link to Conference Proceedings)

Conference

Conference21st International Conference on Automation and Computing
Abbreviated titleICAC
CountryUnited Kingdom
CityGlasgow
Period11/09/1512/09/15
Internet address

Fingerprint

Multiresolution analysis
Acoustic Emission
Multiresolution Analysis
Acoustic emissions
Wavelets
Engine
Engines
Friction
Lubrication
Envelope
Internal Combustion Engine
Piston rings
Wavelet Analysis
Engine cylinders
Stroke
Internal combustion engines
Combustion
Pistons
Correlate
Energy dissipation

Cite this

Wei, N., Gu, F., Wang, T., Li, G., Xu, Y., Yang, L., & Ball, A. D. (2015). Characterisation of acoustic emissions for the frictional effect in engines using wavelets based multi-resolution analysis. In 2015 21st International Conference on Automation and Computing: Automation, Computing and Manufacturing for New Economic Growth, ICAC 2015 [7313961] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IConAC.2015.7313961
Wei, Nasha ; Gu, Fengshou ; Wang, Tie ; Li, Guoxing ; Xu, Yuandong ; Yang, Longjie ; Ball, Andrew D. / Characterisation of acoustic emissions for the frictional effect in engines using wavelets based multi-resolution analysis. 2015 21st International Conference on Automation and Computing: Automation, Computing and Manufacturing for New Economic Growth, ICAC 2015. Institute of Electrical and Electronics Engineers Inc., 2015.
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title = "Characterisation of acoustic emissions for the frictional effect in engines using wavelets based multi-resolution analysis",
abstract = "The friction between piston ring-cylinder liner is a major cause of energy losses in internal combustion engines. However, no experimental method is available to measure and analyze the fictional behavior. This paper focuses on the investigation of using acoustic emission (AE) to characterize the friction online. To separate the effect relating to friction sources, wavelets multi-resolution analysis is used to suppress interfering AE events due to valve impacts and combustion progress. Then a wavelet envelope indicator is developed to highlight AE contents from friction induced AE contents. The results show that the AE contents in the middle strokes correlate closely with viscous friction process as their amplitudes exhibit a continuous profile similar to piston speed. Furthermore, the AE envelope indicator proposed can distinguish the differences between two types of lubrication oils, showing superior performance of AE based online lubrication diagnosis.",
keywords = "acoustic emission, diesel engine, envelope analysis, piston-cylinder system, wavelet multi-resolution analysis",
author = "Nasha Wei and Fengshou Gu and Tie Wang and Guoxing Li and Yuandong Xu and Longjie Yang and Ball, {Andrew D.}",
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Wei, N, Gu, F, Wang, T, Li, G, Xu, Y, Yang, L & Ball, AD 2015, Characterisation of acoustic emissions for the frictional effect in engines using wavelets based multi-resolution analysis. in 2015 21st International Conference on Automation and Computing: Automation, Computing and Manufacturing for New Economic Growth, ICAC 2015., 7313961, Institute of Electrical and Electronics Engineers Inc., 21st International Conference on Automation and Computing, Glasgow, United Kingdom, 11/09/15. https://doi.org/10.1109/IConAC.2015.7313961

Characterisation of acoustic emissions for the frictional effect in engines using wavelets based multi-resolution analysis. / Wei, Nasha; Gu, Fengshou; Wang, Tie; Li, Guoxing; Xu, Yuandong; Yang, Longjie; Ball, Andrew D.

2015 21st International Conference on Automation and Computing: Automation, Computing and Manufacturing for New Economic Growth, ICAC 2015. Institute of Electrical and Electronics Engineers Inc., 2015. 7313961.

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

TY - GEN

T1 - Characterisation of acoustic emissions for the frictional effect in engines using wavelets based multi-resolution analysis

AU - Wei, Nasha

AU - Gu, Fengshou

AU - Wang, Tie

AU - Li, Guoxing

AU - Xu, Yuandong

AU - Yang, Longjie

AU - Ball, Andrew D.

PY - 2015/10/30

Y1 - 2015/10/30

N2 - The friction between piston ring-cylinder liner is a major cause of energy losses in internal combustion engines. However, no experimental method is available to measure and analyze the fictional behavior. This paper focuses on the investigation of using acoustic emission (AE) to characterize the friction online. To separate the effect relating to friction sources, wavelets multi-resolution analysis is used to suppress interfering AE events due to valve impacts and combustion progress. Then a wavelet envelope indicator is developed to highlight AE contents from friction induced AE contents. The results show that the AE contents in the middle strokes correlate closely with viscous friction process as their amplitudes exhibit a continuous profile similar to piston speed. Furthermore, the AE envelope indicator proposed can distinguish the differences between two types of lubrication oils, showing superior performance of AE based online lubrication diagnosis.

AB - The friction between piston ring-cylinder liner is a major cause of energy losses in internal combustion engines. However, no experimental method is available to measure and analyze the fictional behavior. This paper focuses on the investigation of using acoustic emission (AE) to characterize the friction online. To separate the effect relating to friction sources, wavelets multi-resolution analysis is used to suppress interfering AE events due to valve impacts and combustion progress. Then a wavelet envelope indicator is developed to highlight AE contents from friction induced AE contents. The results show that the AE contents in the middle strokes correlate closely with viscous friction process as their amplitudes exhibit a continuous profile similar to piston speed. Furthermore, the AE envelope indicator proposed can distinguish the differences between two types of lubrication oils, showing superior performance of AE based online lubrication diagnosis.

KW - acoustic emission

KW - diesel engine

KW - envelope analysis

KW - piston-cylinder system

KW - wavelet multi-resolution analysis

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U2 - 10.1109/IConAC.2015.7313961

DO - 10.1109/IConAC.2015.7313961

M3 - Conference contribution

BT - 2015 21st International Conference on Automation and Computing: Automation, Computing and Manufacturing for New Economic Growth, ICAC 2015

PB - Institute of Electrical and Electronics Engineers Inc.

ER -

Wei N, Gu F, Wang T, Li G, Xu Y, Yang L et al. Characterisation of acoustic emissions for the frictional effect in engines using wavelets based multi-resolution analysis. In 2015 21st International Conference on Automation and Computing: Automation, Computing and Manufacturing for New Economic Growth, ICAC 2015. Institute of Electrical and Electronics Engineers Inc. 2015. 7313961 https://doi.org/10.1109/IConAC.2015.7313961