New analytical methods continue to be developed in the automotive industry to address noise and vibration concerns. Statistical Energy Analysis (SEA) is one of the methods being developed. Validating a vehicle SEA model which is intended to represent a population of vehicles is usually performed by comparing predicted and measured responses at various vehicle locations. This approach poses an exceptional challenge to the SEA analyst because the measured responses often include sources of variation such as car-to-car, spatial, and environmental. Because of the significant difference between predicted and measured results, it is necessary to develop criteria that describe the 'fitness of use' or quality of a model. Other challenges facing the SEA analyst are the organizational implementation and continuous improvement of the SEA method itself. This paper illustrates how quality technology was used to meet the SEA analyst challenges of model quality, SEA technology implementation and continuous improvement.
Implementing and improving statistical energy analysis models using quality technology
Implementierung und Verbesserung eines statistischen Modells zur Qualitätsverbesserung von Kraftfahrzeugen hinsichtlich der Fahrzeuggeräusche
Noise Control Engineering Journal ; 45 , 1 ; 27-34
1997
8 Seiten, 10 Bilder, 11 Quellen
Aufsatz (Zeitschrift)
Englisch
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