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Information Flow Analysis for Air Bag Sensor Development
ISSN: 0148-7191, e-ISSN: 2688-3627
Published March 06, 2000 by SAE International in United States
Annotation ability available
Event: SAE 2000 World Congress
A statistical theory is used to quantify the amount of information transmitted from a transducer (i.e., accelerometer) to the air bag controller during a vehicle crash. The amount of information relevant to the assessment of the crash severity is evaluated. This quantification procedure helps determine the effectiveness of different testing conditions for the calibration of sensor algorithms. The amount of information in an acceleration signal is interpreted as a measure of the ability to separate signals based on parameters that are used to assess the severity of an impact. Applications to a linear spring-mass model and to actual crash signals from a development vehicle are presented. In particular, the comparison of rigid barrier (RB) and offset deformable barrier (ODB) testing modes is analyzed. Also, the performance of front-mounted and passenger compartment accelerometers are compared.
CitationNusholtz, G., Rabbiolo, G., and Eagle, P., "Information Flow Analysis for Air Bag Sensor Development," SAE Technical Paper 2000-01-1388, 2000, https://doi.org/10.4271/2000-01-1388.
- Nusholtz G. S. Shi Y. Xu L. Optimization of single point frontal air bag fire threshold SAE, Paper 00B-74 2000
- Nusholtz Guy S. Xu Lan Kostyniuk Gregory Estimation of occupant position from probability manifolds of air bag fire-times SAE, Paper 980643 1998
- Nusholtz Guy S. Xu Lan Mosier Ronald G. Kostyniuk Gregory W. Patwa Pranav D. Estimation of oop from conditional probabilities of airbag fire-times and vehicle response SAE, Paper 98-S5-O-16 1998
- Silvey S. D. Statistical Inference Chapman & Hall 1975