Detection, Diagnosis, and Prognosis of Rotating Machinery to Improve Reliability, Maintainability, and Readiness Through the Application of New and Innovative Techniques

    Volume 19, Issue 4 (July 1991)

    ISSN: 0090-3973

    CODEN: JTEOAD

    Page Count: 1


    Blau, PJ
    Oak Ridge National Laboratory, Oak Ridge, TN

    Abstract

    The extraordinarily long title, Detection, Diagnosis, and Prognosis of Rotating Machinery to Improve Reliability, Maintainability, and Readiness Through the Application of New and Innovative Techniques, indicates the degree of topic specialization inherent in this book. It is forty-first in a series of proceedings from the Mechanical Failures Prevention Group, an organization dating back to 1967 and primarily devoted to strategies for addressing hardware reliability problems in military, especially naval, equipment. The book consists of thirty-seven articles divided into seven sections: Detection, Diagnosis and Prognosis; Wear; Structural Damage Assessment; Signature Analysis; Monitoring Systems; Failure Mechanisms; and Artificial Intelligence and Expert Systems. This grouping of papers is one of several possible arrangements, because there were elements of some of the papers which could have made them suitable for inclusion in other categories than the ones in which they were placed. However, this kind of organizational problem is common when papers contain interdisciplinary material.


    Paper ID: JTE12580J

    DOI: 10.1520/JTE12580J

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    Author
    Title Detection, Diagnosis, and Prognosis of Rotating Machinery to Improve Reliability, Maintainability, and Readiness Through the Application of New and Innovative Techniques
    Symposium , 0000-00-00
    Committee A01D07D20D30E08E28F08