Analysis of nonlinear vibration-interaction using higher order spectra to diagnose aerospace system faults

Mohammed A. Hassan, David Coats, Kareem Gouda, Yong June Shin, Abdel Bayoumi

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

13 Citations (Scopus)

Abstract

For efficient maintenance of a diverse fleet of aging air- and rotorcraft, effective condition based maintenance (CBM) must be established based on rotating components monitored vibration signals. Traditional linear spectral analysis techniques of the vibration signals, based on auto-power spectrum, are used as common tools of rotating components diagnoses. Unfortunately, linear spectral analysis techniques are of limited value when various spectral components interact with one another due to nonlinear or parametric process. In such a case, higher order spectral (HOS) techniques are recommended to accurately and completely characterize the vibration signals. Since the nonlinearities result in new spectral components being formed with coherency in phase, the detection of such phase coherence may be carried out with the aid of higher order spectra. In this paper, we use the bispectrum as a higher order spectral analysis tool to investigate nonlinear wave-wave interaction in vibration signals. Accelerometer data has been collected from baseline tests of accelerated conditioning in tail rotor drive-train components of an AH-64 helicopter drive-train research test bed simulating drive-train conditions. Through bispectrum analysis, we compare the harmonics interaction patterns contained in vibration signals from different physical setting of helicopter drive train and compare that with classical power spectral density plots. The analysis advances the development of higher order statistics and two dimensional frequency health indicators in order to qualify health conditions in mechanical systems.

Original languageEnglish
Title of host publication2012 IEEE Aerospace Conference
DOIs
Publication statusPublished - 2012 May 22
Event2012 IEEE Aerospace Conference - Big Sky, MT, United States
Duration: 2012 Mar 32012 Mar 10

Other

Other2012 IEEE Aerospace Conference
CountryUnited States
CityBig Sky, MT
Period12/3/312/3/10

Fingerprint

aerospace systems
vibration
train
Spectrum analysis
spectral analysis
spectrum analysis
Helicopters
AH-64 helicopter
Health
maintenance
health
interactions
tail rotors
Higher order statistics
rotary wing aircraft
Power spectral density
wave-wave interaction
Power spectrum
Accelerometers
phase coherence

All Science Journal Classification (ASJC) codes

  • Aerospace Engineering
  • Space and Planetary Science

Cite this

Hassan, Mohammed A. ; Coats, David ; Gouda, Kareem ; Shin, Yong June ; Bayoumi, Abdel. / Analysis of nonlinear vibration-interaction using higher order spectra to diagnose aerospace system faults. 2012 IEEE Aerospace Conference. 2012.
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abstract = "For efficient maintenance of a diverse fleet of aging air- and rotorcraft, effective condition based maintenance (CBM) must be established based on rotating components monitored vibration signals. Traditional linear spectral analysis techniques of the vibration signals, based on auto-power spectrum, are used as common tools of rotating components diagnoses. Unfortunately, linear spectral analysis techniques are of limited value when various spectral components interact with one another due to nonlinear or parametric process. In such a case, higher order spectral (HOS) techniques are recommended to accurately and completely characterize the vibration signals. Since the nonlinearities result in new spectral components being formed with coherency in phase, the detection of such phase coherence may be carried out with the aid of higher order spectra. In this paper, we use the bispectrum as a higher order spectral analysis tool to investigate nonlinear wave-wave interaction in vibration signals. Accelerometer data has been collected from baseline tests of accelerated conditioning in tail rotor drive-train components of an AH-64 helicopter drive-train research test bed simulating drive-train conditions. Through bispectrum analysis, we compare the harmonics interaction patterns contained in vibration signals from different physical setting of helicopter drive train and compare that with classical power spectral density plots. The analysis advances the development of higher order statistics and two dimensional frequency health indicators in order to qualify health conditions in mechanical systems.",
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Hassan, MA, Coats, D, Gouda, K, Shin, YJ & Bayoumi, A 2012, Analysis of nonlinear vibration-interaction using higher order spectra to diagnose aerospace system faults. in 2012 IEEE Aerospace Conference., 6187370, 2012 IEEE Aerospace Conference, Big Sky, MT, United States, 12/3/3. https://doi.org/10.1109/AERO.2012.6187370

Analysis of nonlinear vibration-interaction using higher order spectra to diagnose aerospace system faults. / Hassan, Mohammed A.; Coats, David; Gouda, Kareem; Shin, Yong June; Bayoumi, Abdel.

2012 IEEE Aerospace Conference. 2012. 6187370.

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

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