Data Acquisition and Analysis for Automotive Air Bag Testing

Daniel J. Simon, D. Dragotoniu

    Research output: Contribution to journalArticlepeer-review

    Abstract

    Testing is an important part in all production processes, particularly in processes such as automotive air bag manufacturing. At TRW, both production air bags and new engineering designs are tested. Because of the high volume of tests and the high volume of data which are collected during tests, automated data collection and analysis is highly desirable feature of the data acquisition software (DAS). This paper discusses TRW’s DAS and how automatic data analysis was incorporated in the DAS. In particular, a neural network is used to classify the results of the test and hence provide lab personnel with a helping hand in their disposition of the test data.

    Original languageAmerican English
    JournalSecond IFAC Workshop on Safety and Reliability in Emerging Control Technologies, 1995
    StatePublished - Jan 1 1996

    Keywords

    • Automotive Air Bags
    • Data Acquisition
    • Neural Networks

    Disciplines

    • Electrical and Computer Engineering

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