Title:Detecting Cracks in Reciprocating Compressor Valves using Pattern Recognition in Frequency SpaceAuthor(s):Kurt Pichler, Edwin Lughofer, Thomas Buchegger, Erich Klement, Matthias HuschenbettAbstract: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.Booktitle:Proceedings of the ASME 2012 Conference on Smart Materials, Adaptive Structures and Intelligent Systems SMASIS2012Publisher:ASMEPage Reference:8 page(s)Publishing:2012