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Tuesday, May 14 • 2:30pm - 3:00pm
The Diagnosis of Machinery through Use of Physics-Based Algorithms

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The diagnosis of rotating and reciprocating machinery has been an area of active research for several decades, for both commercial and military equipment. Most researchers are knowledgeable concerning instrumentation and signal analysis algorithms, but not as experienced with the 'physiology' of various machinery, the details and dynamical behavior of which can be quite complex. Therefore, the tendency has been to use either simple rule-based look-up tables, or in the other extreme ti apply adaptive learning, neural nets, or other data-driven statistics-based approaches that look for anomalies in a manner that attempts to be machine-agnostic. These approaches can be useful in some applications. However, the authors suggest that a superior approach is the use of physics-based set of algorithms that are based on the mechanical and fluid-dynamic (or electrical for motors/generators) details of the machinery in question. Some examples are provided of such algorithms that have application over broad classes of machinery. It is demonstrated how such as approach can be blended with ISO standards based constraints and guidelines to provide software that can mimic much of what an experienced machinery engineer or technician would 
conclude from a given data set. Examples of machinery successfully diagnosed by the approach will be given.

avatar for Bill Marscher

Bill Marscher

President & Technical Director, Mechanical Solutions

Tuesday May 14, 2019 2:30pm - 3:00pm EDT
Freedom Ballroom I