Detecting broken Reciprocating Compressor Valves in the pV-diagram
Sprache des Titels:
Englisch
Original Buchtitel:
Proceedings of the ASME 2013 Conference on Smart Materials, Adaptive Structures and Intelligent Systems (SMAIS 2013)
Original Kurzfassung:
This paper presents a novel data-driven approach to detecting
broken reciprocating compressor valves that is based on the
idea that a broken valve will affect the shape of the pressurevolume
(pV) diagram. This effect can be observed when the valves
are closed. To avoid disturbances due to the load control we
concentrate on the expansion phase linearized using the logarithmic
pV diagram. The gradient of the expansion phase serves
as an indicator of the fault state of the valves. Since the gradient
is also affected by the pressure conditions, they are used as an
additional indicator. After feature extraction and removing offset
in the feature space by solving an optimization problem, classification
of different valve types can be achieved with one support
vector machine classifer. The performance of the method was validated
by analyzing real-world measurement data. Our results
show a very high classification accuracy for varying compressor
load and pressure conditions.