The analysis of a large quantity of experimental data from a thorough test of a complex system can be time-consuming and expensive. This paper describes how expert system technology can be applied to automate the detection of anomalies in a standard test of a torpedo. The purpose of the FLEET/DRAS (Data Reduction Analysis System) project is to develop an expert system to aid a Navy technician in the quick-look analysis of data from torpedo sea trials. Each sea trial is expected to generate about 50 megabytes of data. Many sea trials are expected. Anomaly detection, which has been performed by an expert engineering analyst, is to be automated. A prototype expert system for the automatic detection of anomalies in the control system has been developed by Honeywell. It follows the rules of the expert analyst. It detected all of the anomalies that it was designed to discover. It also discovered two subtle anomalies that had previously gone undetected. The feasibility of the system has been demonstrated.


    Access

    Access via TIB

    Check availability in my library


    Export, share and cite



    Title :

    An expert system for data reduction


    Additional title:

    Ein Expertensystem fuer Datenreduktion


    Contributors:
    Utt, W.K. (author) / Anderson, J.B. (author) / Bollag, F.J. (author) / Nystrom (author)


    Publication date :

    1985


    Size :

    5 Seiten, 5 Bilder, 2 Tabellen, 5 Quellen


    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English





    Expert antiskid system

    Matsumoto, N. / Kuraoka, H. / Ohka, N. et al. | Tema Archive | 1987


    Exsys - expert system

    Bilko, R. | British Library Conference Proceedings | 1999



    Locomotive data expert diagnosis analysis method, device and system

    WANG CHENGFU / DUAN LUPING / YAO QUANLE et al. | European Patent Office | 2021

    Free access