Abstract
In a vehicle production environment, obtaining information on the condition of the assembled vehicle, allows for increased quality while minimizing rework minutes at the same time. The cost of this information is associated with additional time in production, increasing the overall cost of the vehicle. The focus of this paper is development of a system for contactless measurement and investigation of vibrations present in the vehicle and the Rolling Road vehicle testing facility as a mean of identifying failures or degradation in the vehicle or testing facility. Measurements are performed using a contactless Laser Vibrometer based system which facilitates capturing the vibrations without interfering with the vehicle and other standard testing procedures. Signal conditioning and analysis methods are applied to measured vibration signals in an attempt to detect irregularities and determine their transient characteristics from the captured signals. Data analysis techniques employed in this initial trial of the system include Short Time Fourier and Wavelet Transforms. Proposed testing method including experimental setup, captured signals and some preliminary analysis results are discussed in this paper.
Original language | English |
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Title of host publication | ICITM 2017 Conference Proceedings |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Number of pages | 6 |
ISBN (Electronic) | 978-1509053308 |
ISBN (Print) | 978-1509053292 |
DOIs | |
Publication status | Published - 4 May 2017 |
Event | 6th International Conference on Industrial Technology and Management - Clare College, Cambridge, United Kingdom Duration: 7 Mar 2017 → 10 Mar 2017 http://www.icitm.org/ |
Conference
Conference | 6th International Conference on Industrial Technology and Management |
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Abbreviated title | ICITM |
Country/Territory | United Kingdom |
City | Cambridge |
Period | 7/03/17 → 10/03/17 |
Internet address |
Keywords
- vibrations
- measurement by laser beam
- vibration measurement
- pollution measurement
- testing
- vibrometers
- microphones
- signal processing
- vibration analysis
- nonstationary signals
- laser vibrometry
- wavelet analysis