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The Development of a Flyover Noise Prediction Technique Using Multiple Linear Regression Analysis
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English
Abstract
At Cessna Aircraft Company, statistical analyses have been developed to define important trends in flyover noise data. Multiple regression techniques have provided the means to develop flyover noise prediction methods which have resulted in better accuracy than methods used in the past. Regression analyses have been conducted to determine the important relationship between propeller helical tip Mach number and the flyover noise level. Other variables have been included in the regression models either because the added variable contributed to reducing the remaining variation in the model or the variable appeared to be a strong causal agent of flyover noise.
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Authors
Citation
Rathgeber, R., "The Development of a Flyover Noise Prediction Technique Using Multiple Linear Regression Analysis," SAE Technical Paper 810588, 1981, https://doi.org/10.4271/810588.Also In
References
- Society of Automotive Engineers, Inc. “Prediction Procedure for Near-Field and Far-Field Propeller Noise,” (AIR 1407) 1977
- Rathgeber Ronald K. Sipes Dougles E. “The Influence of Design Parameters on Light Propeller Aircraft Noise,” Society of Automotive Engineers, Inc 1977
- Korkan K. D. Gregorek G. M. “An Acoustic Sensitivity Study of General Aviation Propellers,” (AIAA-80-1871) 1980