Computer Program and Method for Detecting and Predicting Valve Failure in a Reciprocating Compressor
Abstract
Embodiments of the present invention provide a method implemented by a computer program for detecting and identifying valve failure in a reciprocating compressor and further for predicting valve failure in the compressor. Embodiments of the present invention detect and predict the valve failure using wavelet analysis, logistic regression, and neural networks. A pressure signal from the valve of the reciprocating compressor presents a non-stationary waveform from which features can be extracted using wavelet packet decomposition. The extracted features, along with temperature data for the valve, are used to train a logistic regression model to classify defective and normal operation of the valve. The wavelet features extracted from the pressure signal are also used to train a neural network model to predict to predict the future trend of the pressure signal of the system, which is used as an indicator for performance assessment and for root cause detection of the compressor valve failures.
Recommended Citation
M. Leu et al., "Computer Program and Method for Detecting and Predicting Valve Failure in a Reciprocating Compressor," U.S. Patents, Apr 2010.
Department(s)
Mechanical and Aerospace Engineering
Second Department
Electrical and Computer Engineering
Patent Application Number
US12/259,772
Patent Number
US20100106458A1
Document Type
Patent
Document Version
Final Version
File Type
text
Language(s)
English
Rights
© 2010 The Curators of the University of Missouri, All rights reserved.
Publication Date
29 Apr 2010
