As the automotive industry becomes increasingly competitive, parts manufacturers are under extreme pressure to improve the quality of their parts, while at the same time reducing costs. The method currently used to detect failures in automotive light assemblies during vibration endurance testing involves manual inspection only after the test is completed. In most cases, this method does not allow the first onset of failure to be determined. Subsequent damage caused by the ongoing test after the initial failure often obliterates the clues to what failed first, thus diminishing the usefulness of the information collected as input to design improvement iterations. 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 paper describes an accelerometer-based and a microphone-based monitoring system for automotive light assembly failure detection during endurance testing. The vibration and acoustic signal analysis methods are also described. Preliminary results from these two systems show a significant difference between healthy and faulty fog light assemblies, which can be detected. This suggests that there is potential to develop these and potentially other measures for use in 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. Further testing is planned to determine the sensitivity of the methods used in this study to detect the earliest onset of failure damage during endurance testing of automotive light assemblies.
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