Detecting cracks in reciprocating compressor valves using pattern recognition in the pV diagram-Reference-Cited by-同舟云学术

Detecting cracks in reciprocating compressor valves using pattern recognition in the pV diagram

Published:2014-11-09 Issue:2 Volume:18 Page:461-472
ISSN:1433-7541
Container-title:Pattern Analysis and Applications
language:en
Short-container-title:Pattern Anal Applic

Author:

Pichler Kurt,Lughofer Edwin,Pichler Markus,Buchegger Thomas,Klement Erich Peter,Huschenbett Matthias

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition

Link

http://link.springer.com/content/pdf/10.1007/s10044-014-0431-5.pdf

Reference32 articles.

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2. Huschenbett M, Will G (2005) Thermodynamic simulation of reciprocating compressors to enable diagnostics based on measured temperatures and pressures. In: Proceedings of the 4th conference of the European forum of reciprocating compressors

3. Lin YH, Wu HC, Wu CY (2006) Automated condition classification of a reciprocating compressor using time-frequency analysis and an artificial neural network. Inst Phys Publ Smart Mater Struct 15:1576–1584

4. Lin YH, Liu HS, Wu CY (2009) Automated valve condition classification of a reciprocating compressor with seeded faults: experimentation and validation of classification strategy. Inst Phys Publ Smart Mater Struct 18:095020

5. Tiwari A, Yadav P (2008) Application of ANN in condition monitoring of a defective reciprocating air compressor. J Instrum Soc. India 38(1):13–20

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