Abstract: This research investigates a novel datadriven approach to condition monitoring of electromechanical actuators (EMAs) consisting of feature extraction and fault classification. The approach is able to accommodate timevarying ...

Abstract: This paper focuses on conditionmonitoring of three different valve failure modes common in reciprocating compressors. They are missing valve poppets, valve spring fatigue, and valve seat wear. First, a targeted instrumentation ...

Abstract: This article presents features derived from the pressure–volume (PV) diagram that is useful in estimating different valve faults in reciprocating compressors with a strong potential of remaining useful life prediction. The ...

Abstract: This paper investigates a variety of signalmonitoring and datadriven processing techniques to classify seed faults imposed on floating ring main crankshaft compressor bearings. Simulated main bearing shaft motion using an ...