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Automotive Light Assembly Failure detection

after vibration endurance testing involves manual inspection only after the test is completed. An adaptable, reliable and low cost real time monitoring and
diagnostic system that would interrupt the testing operation at the first onset of a failure is
desired. This thesis describes accelerometer based, microphone (single and dualmicrophone)
based and acoustic emission sensor based monitoring systems for
automotive light assembly failure detection during endurance testing. Preliminary results
from accelerometer based and dual-microphone based diagnostic systems show that
significant differences between healthy and faulty fog light assemblies can be detected.
Based on these initial testing results, subsequent testing and data analysis were conducted
for accelerometer based and dual microphone based systems. Four data analysis methods
have been used: (1) Averaging signals in the time domain, (2) FFT of time domain
waveforms over a specified time, (3) Averaging frequency spectra, and (4) Statistical
methods for time domain signals. Individual frequency spectra (from FFT) and the
average of multiple frequency spectra have shown potential to distinguish between
signals from faulty and healthy light assemblies. Statistical measures, such as, Arithmetic
mean (μ) and Kurtosis (K) can also be used to differentiate healthy and faulty light
assemblies. In general, this work has shown the good potential to develop methods for
adaptable, reliable and low cost real time monitoring and diagnostic systems that would
interrupt the testing operation at the first onset of a failure. / Thesis (Master, Mechanical and Materials Engineering) -- Queen's University, 2007-09-28 16:13:47.511

  1. http://hdl.handle.net/1974/783
Identiferoai:union.ndltd.org:LACETR/oai:collectionscanada.gc.ca:OKQ.1974/783
Date02 October 2007
CreatorsXie, Kongying
ContributorsQueen's University (Kingston, Ont.). Theses (Queen's University (Kingston, Ont.))
Source SetsLibrary and Archives Canada ETDs Repository / Centre d'archives des thèses électroniques de Bibliothèque et Archives Canada
LanguageEnglish, English
Detected LanguageEnglish
TypeThesis
Format2933950 bytes, application/pdf
RightsThis publication is made available by the authority of the copyright owner solely for the purpose of private study and research and may not be copied or reproduced except as permitted by the copyright laws without written authority from the copyright owner.
RelationCanadian theses

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