The application of Bayes' Procedures to effect statistically optimum diagnostic decisions is described. The thesis is advanced that pattern recognition techniques can be used to reduce processing complexity and thus permit implementation of Bayes' Procedures in practical field portable equipment.This thesis is under evaluation in a test program in which journal bearing and wrist pin defects are detected from vibration measurements. Processing of vibration data by a computer programmed Pattern Recognition Technique resulted in design of “predetection” filters which can simplify the equipment required to detect the faults in real time.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Pattern Recognition Techniques Applied to Diagnostics


    Additional title:

    Sae Technical Papers


    Contributors:
    Cortina, E. (author) / Engel, H. L. (author) / Scott, W. K. (author)

    Conference:

    Mid-Year Meeting ; 1970



    Publication date :

    1970-02-01




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




    Acoustic diagnostics in process plant: application of pattern recognition techniques

    Bouchard, J. G. / Beesley, M. J. / Farrington, D. C. F. et al. | British Library Conference Proceedings | 1993




    Marine gas turbine monitoring and diagnostics by simulation and pattern recognition

    Ugo Campora / Carlo Cravero / Raphael Zaccone | DOAJ | 2018

    Free access

    Feature alignment techniques for pattern recognition

    Kosir, P. / DeWall, R. | IEEE | 1994