Abstract
Reciprocating compressors are vital components in oil and gas industry though their maintenance cost can be high. Their valves are considered the most frequent failing part accounting for almost half the maintenance cost. Condition Based Maintenance which is based on diagnostics principles can assist towards decreasing cost and downtime while increasing safety and availability. Most common features utilised by reciprocating compressor diagnostics solutions are raw sensor vibration and pressure data. In this work non-uniformly sampled temperature-only measurements from an operational industrial reciprocating compressor, in contrast to experimental data commonly used, where utilised for valve leakage detection by employing principal components analysis and statistical process control. Analysis was done by using temperature ratios in order to filter out external effects like ambient temperature or speed. Result validate the success of the proposed methodology.
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The authors would like to thank Amjad Chaudry and Jose Maria Gonzalez Martinez for their insight during analysis.
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Loukopoulos, P. et al. (2019). Reciprocating Compressor Valve Leakage Detection Under Varying Load Conditions. In: Mathew, J., Lim, C., Ma, L., Sands, D., Cholette, M., Borghesani, P. (eds) Asset Intelligence through Integration and Interoperability and Contemporary Vibration Engineering Technologies. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-95711-1_40
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