Gear wear process monitoring using acoustic signals

Anwar Ahmaida, Dong Zhen, Fengshou Gu, Andrew Ball

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

2 Citations (Scopus)

Abstract

Airborne acoustic sigrvals contain valuable information from machines and can be detected remotely for condition monitoring. However, the signal is often seriously contaminated by various noises from the environment as well as nearby machines. This paper presents an acoustic based method of monitoring a two stage helical gearbox, a common power transmission system used in various industries. A single microphone is employed to measure the acoustics of the gearbox undergoing a run-to-failure test. To suppress the background noise and interferences from nearby machines a modulation signal bispectrum (MSB) analysis is applied to the signal. It is shown that the analysis allows the meshing frequency components and the associated shaft modulating components to be captured more accurately to set up a clear monitoring trend to indicate the tooth wear of the gears under test. The results demonstrate that acoustic signals in conjunction with efficient signal processing methods provide an effective monitoring of the gear transmission process.

LanguageEnglish
Title of host publication21st International Congress on Sound and Vibration 2014, ICSV 2014
PublisherInternational Institute of Acoustics and Vibrations
Pages2742-2749
Number of pages8
Volume3
ISBN (Electronic)9781634392389
Publication statusPublished - 2014
Event21st International Congress on Sound and Vibration 2014 - Beijing, China
Duration: 13 Jul 201417 Jul 2014

Conference

Conference21st International Congress on Sound and Vibration 2014
Abbreviated titleICSV 2014
CountryChina
CityBeijing
Period13/07/1417/07/14

Fingerprint

transmissions (machine elements)
acoustics
power transmission
signal analysis
background noise
teeth
microphones
signal processing
industries
trends
interference
modulation

Cite this

Ahmaida, A., Zhen, D., Gu, F., & Ball, A. (2014). Gear wear process monitoring using acoustic signals. In 21st International Congress on Sound and Vibration 2014, ICSV 2014 (Vol. 3, pp. 2742-2749). International Institute of Acoustics and Vibrations.
Ahmaida, Anwar ; Zhen, Dong ; Gu, Fengshou ; Ball, Andrew. / Gear wear process monitoring using acoustic signals. 21st International Congress on Sound and Vibration 2014, ICSV 2014. Vol. 3 International Institute of Acoustics and Vibrations, 2014. pp. 2742-2749
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abstract = "Airborne acoustic sigrvals contain valuable information from machines and can be detected remotely for condition monitoring. However, the signal is often seriously contaminated by various noises from the environment as well as nearby machines. This paper presents an acoustic based method of monitoring a two stage helical gearbox, a common power transmission system used in various industries. A single microphone is employed to measure the acoustics of the gearbox undergoing a run-to-failure test. To suppress the background noise and interferences from nearby machines a modulation signal bispectrum (MSB) analysis is applied to the signal. It is shown that the analysis allows the meshing frequency components and the associated shaft modulating components to be captured more accurately to set up a clear monitoring trend to indicate the tooth wear of the gears under test. The results demonstrate that acoustic signals in conjunction with efficient signal processing methods provide an effective monitoring of the gear transmission process.",
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Ahmaida, A, Zhen, D, Gu, F & Ball, A 2014, Gear wear process monitoring using acoustic signals. in 21st International Congress on Sound and Vibration 2014, ICSV 2014. vol. 3, International Institute of Acoustics and Vibrations, pp. 2742-2749, 21st International Congress on Sound and Vibration 2014, Beijing, China, 13/07/14.

Gear wear process monitoring using acoustic signals. / Ahmaida, Anwar; Zhen, Dong; Gu, Fengshou; Ball, Andrew.

21st International Congress on Sound and Vibration 2014, ICSV 2014. Vol. 3 International Institute of Acoustics and Vibrations, 2014. p. 2742-2749.

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

TY - GEN

T1 - Gear wear process monitoring using acoustic signals

AU - Ahmaida, Anwar

AU - Zhen, Dong

AU - Gu, Fengshou

AU - Ball, Andrew

PY - 2014

Y1 - 2014

N2 - Airborne acoustic sigrvals contain valuable information from machines and can be detected remotely for condition monitoring. However, the signal is often seriously contaminated by various noises from the environment as well as nearby machines. This paper presents an acoustic based method of monitoring a two stage helical gearbox, a common power transmission system used in various industries. A single microphone is employed to measure the acoustics of the gearbox undergoing a run-to-failure test. To suppress the background noise and interferences from nearby machines a modulation signal bispectrum (MSB) analysis is applied to the signal. It is shown that the analysis allows the meshing frequency components and the associated shaft modulating components to be captured more accurately to set up a clear monitoring trend to indicate the tooth wear of the gears under test. The results demonstrate that acoustic signals in conjunction with efficient signal processing methods provide an effective monitoring of the gear transmission process.

AB - Airborne acoustic sigrvals contain valuable information from machines and can be detected remotely for condition monitoring. However, the signal is often seriously contaminated by various noises from the environment as well as nearby machines. This paper presents an acoustic based method of monitoring a two stage helical gearbox, a common power transmission system used in various industries. A single microphone is employed to measure the acoustics of the gearbox undergoing a run-to-failure test. To suppress the background noise and interferences from nearby machines a modulation signal bispectrum (MSB) analysis is applied to the signal. It is shown that the analysis allows the meshing frequency components and the associated shaft modulating components to be captured more accurately to set up a clear monitoring trend to indicate the tooth wear of the gears under test. The results demonstrate that acoustic signals in conjunction with efficient signal processing methods provide an effective monitoring of the gear transmission process.

KW - Acoustic signals

KW - Condition monitoring

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KW - Modulation signal bispectrum

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M3 - Conference contribution

VL - 3

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BT - 21st International Congress on Sound and Vibration 2014, ICSV 2014

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Ahmaida A, Zhen D, Gu F, Ball A. Gear wear process monitoring using acoustic signals. In 21st International Congress on Sound and Vibration 2014, ICSV 2014. Vol. 3. International Institute of Acoustics and Vibrations. 2014. p. 2742-2749