Kurt Pichler, Edwin Lughofer, Thomas Buchegger, Erich Klement, Matthias Huschenbett,
"Detecting Cracks in Reciprocating Compressor Valves using Pattern Recognition in Frequency Space"
: Proceedings of the ASME 2012 Conference on Smart Materials, Adaptive Structures and Intelligent Systems SMASIS2012, ASME, 2012
Original Titel:
Detecting Cracks in Reciprocating Compressor Valves using Pattern Recognition in Frequency Space
Sprache des Titels:
Englisch
Original Buchtitel:
Proceedings of the ASME 2012 Conference on Smart Materials, Adaptive Structures and Intelligent Systems SMASIS2012
Original Kurzfassung:
This paper presents a novel data-driven approach for
detecting cracks in reciprocating compressor valves by
analyzing vibration data. The main idea is that the timefrequency
representation will show typical patterns, depending
on the fault state and other variables. The problem of detecting
these patterns reliably is solved by taking a detour via two
dimensional autocorrelation. This emphasizes the patterns and
reduces noise effects, thus identifying appropriate features
becomes easier. The features are then classified using well
known pattern recognition approaches. The methods
performance is validated by analyzing real world measurement
data.