Automated Production Noise Testing of Power Steering Pumps 971911
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.
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. Download Citation
Author(s):
Daniel Bleitz, Christian Fernholz, Stephen Ivkovich
Affiliated:
Ford Motor Co.
Pages: 9
Event:
SAE Noise and Vibration Conference and Exposition
ISSN:
0148-7191
e-ISSN:
2688-3627
Also in:
Proceedings of the 1997 Noise and Vibration Conference-P-309
Related Topics:
Power steering
Neural networks
Pumps
Noise
Vibration
Production
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