Fault detection in reciprocating compressor valves for steady-state load conditions

Authors:
Kurt Pichler;Andrea Schrems;Thomas Buchegger;Matthias Huschenbett;Markus Pichler
Affiliations:
Linz Center of Mechatronics GmbH, Austria;Linz Center of Mechatronics GmbH, Austria;Linz Center of Mechatronics GmbH, Austria;Hoerbiger Service America, Inc., Greenwood Village, Colorado, USA;Linz Center of Mechatronics GmbH, Austria
Venue:
ISSPIT '11 Proceedings of the 2011 IEEE International Symposium on Signal Processing and Information Technology
Year:
2011

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An approach to fault diagnosis of reciprocating compressor valves using Teager-Kaiser energy operator and deep belief networks

Expert Systems with Applications: An International Journal

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Abstract

This paper presents a novel approach to diagnosing faults in reciprocating compressor valves. Based on easily available vibration data, a transformation to a high-dimensional vector space is performed. By defining a metric in this vector space, the distance between the actual compressor state and a reference compressor state is calculated. Excessive distances indicate a faulty compressor. Since large distances may be due not only to faulty valves but also to non-steady-state load conditions, this method is applied only to the steady-state operating mode.