This paper focuses on condition-monitoring of three different valve failure modes common in reciprocating compressors. They are missing valve poppets, valve spring fatigue, and valve seat wear. First, a targeted instrumentation study is performed on a Dresser–Rand ESH-1 industrial reciprocating compressor to investigate detection methods for these failures. This is followed by the development of a novel health classification methodology based on frequency analysis and Bayes theorem. The method is shown to successfully classify the condition of the valves to a high degree of accuracy when applied to actual seeded valve faults in the compressor.
A Data-Driven Approach for Condition Monitoring of Reciprocating Compressor Valves
Contributed by the Controls, Diagnostics and Instrumentation Committee of ASME for publication in the JOURNAL OF ENGINEERING FOR GAS TURBINES AND POWER. Manuscript received August 9, 2013; final manuscript received November 4, 2013; published online December 10, 2013. Assoc. Editor: Klaus Brun.
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Guerra, C. J., and Kolodziej, J. R. (December 10, 2013). "A Data-Driven Approach for Condition Monitoring of Reciprocating Compressor Valves." ASME. J. Eng. Gas Turbines Power. April 2014; 136(4): 041601. https://doi.org/10.1115/1.4025944
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