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Automated Production Noise Testing of Power Steering Pumps
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English
Abstract
This case study presents a new automated production noise test for power steering pumps. The test included adaptive noise cancellation, and a neural network implementation. The result mapped the pump acceleration signature into an objective repeatable noise metric.
The test algorithm was a distributed DSP architecture designed for real-time measurement and decision processing. It was implemented with no increase in test cycle time. It accomplished the correlation of in-vehicle power steering pump noise to it's vibration characteristics, and retrofitting of accelerometers in place of microphones for acceptance testing.
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Citation
Bleitz, D., Fernholz, C., and Ivkovich, S., "Automated Production Noise Testing of Power Steering Pumps," SAE Technical Paper 971911, 1997, https://doi.org/10.4271/971911.Also In
References
- Genuit, Klaus “Artificial Head Measurement Systems for Subjective Evaluation of Sound Quality,” Sound and Vibration March 1992
- Widrow B. et.al. “Adaptive Noise Canceling: Principles and Applications” Proc. of IEEE 63 12 1692 716 Dec. 1975
- Kay, Steven M. Marple Stanley L. “Spectrum Analysis - A Modern Perspective” Proc. IEEE 69 1380 1419 Nov. 1981
- Carter, G. Clifford Nutall Albert H. “On the Weighted Overlapped Segment Averaging Method for Power Spectral Estimation” Proc. IEEE 68 10 Oct. 1980
- Kosko, B. Neural Networks and Fuzzy Systems Addison-Wesley Englewood Cliffs, NJ 1992
- National Center for Manufacturing Sciences Competing in World-class Manufacturing: America's 21st Century Challenge Richard D. Irwin Publishers Homewood, IL 1990