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The Development of Tools for the Automatic Extraction of Desired Information from Large Amounts of Engineering Data
Technical Paper
2001-01-0707
ISSN: 0148-7191, e-ISSN: 2688-3627
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Sector:
Event:
SAE 2001 World Congress
Language:
English
Abstract
Product development processes generate large quantities of experimental and analytical data. The data evaluation process is usually quite lengthy since the data needs to be extracted from a large number of individual output files and arranged in suitable formats before they can be compared. When the data quantity grows extremely large, manual extraction cannot be done in a limited timeframe. This paper describes a set of tools developed by MTS engineers to automatically extract the desired information from a large number of files and perform data post-processing. The tools greatly improved both speed and accuracy of the evaluation process during the development of a sound quality-based end-of-line inspection system for seat tracks [1]. It allowed engineers to quickly gather a comprehensive understanding of the relative importance of individual design parameters and of their correlation to the subjective perception of the sound quality of the seat track.
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Citation
Dong, J., Cerrato-Jay, G., and Chung, C., "The Development of Tools for the Automatic Extraction of Desired Information from Large Amounts of Engineering Data," SAE Technical Paper 2001-01-0707, 2001, https://doi.org/10.4271/2001-01-0707.Also In
References
- Bernard T. Cerrato-Jay G. Dong J. Pickering DJ Braner L. Davidson R. The Development of a Sound Quality-Based End-of-Line Inspection System for Powered Seat Adjusters SAE 01PC-205
- Zwicker E. Fastl H. Psychoacoustics, Facts and Models Spring-Verlag 1990