Compressor valve failure detection and prognostics

The Resource Compressor valve failure detection and prognostics

Label

Compressor valve failure detection and prognostics

Statement of responsibility

by Raghuram Puthali Ramesh

Language

eng

Summary

"Reciprocating compressors are commonly used machinery for industrial applications. Unscheduled downtime and maintenance activity on the compressors causes considerable loss in throughput and efficiency of a plant. Of all the failures that cause unscheduled downtime in reciprocating compressors, valve related causes are predominant. Most of the failures associated with the valves are tracked to the failure of moving elements within the valve. Achieving higher reliability of critical reciprocating systems requires continuously monitoring the system and performing dynamic analysis of the sensory data for valve fault diagnosis. Continuous monitoring will improve the time and cost to repair through keeping a constant vigil for failure events. Though there has been a good amount of work done for condition monitoring of compressors, there has been very little work on detecting and predicting valve failures. The objective of this thesis is to research detection and prediction of valve failures by wavelet analysis, logistic regression and neural network analysis of pressure and temperature signals, which are the most common measurements on a reciprocating compressor system. Valve failures are seeded on a reciprocating compressor testbed that is instrumented with only temperature and pressure sensor order emulate the reciprocating compressor systems used in the industry. The parameters are measured on a continuous basis and baselines are established for normal (or acceptable) behavior and failure (or fault) condition. Deviation of the system from the normal condition and the time for the system to reach the fault mode is quantified with the help of the above mentioned tools."--Abstract, leaf iii

Cataloging source

UMR

Degree

M.S.

Dissertation year

2007.

Granting institution

University of Missouri--Rolla

Illustrations

illustrations

Index

no index present

Literary form

non fiction

Nature of contents

dictionaries
bibliography
theses

Target audience

specialized

Context

Context of Compressor valve failure detection and prognostics

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Context

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