Int J Performability Eng ›› 2015, Vol. 11 ›› Issue (1): 53-60.doi: 10.23940/ijpe.15.1.p53.mag
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A.M.N.D.B. SENEVIRATNE and R.M. CHANDIMA RATNAYAKE
Abstract:
A recent audit of oil and gas (O&G) production and process facilities (P&PFs) functioning on the Norwegian Continental Shelf (NCS) revealed that inadequate classification of equipment tends to increase the probability of maintenance induced failures. Hence, to mitigate the problem, this manuscript suggests a fuzzy inference system (FIS) to further revise and fine-tune an existing static mechanical equipment classification which has been utilized for the inspection and maintenance of a North Sea P&PF. Such a revision and fine-tuning of the existing classification enables the equipment in a sub-system of a P&PF to be identified by its degradation mechanism and classified under common degradation groups (e.g., corrosion loops, erosion loops, etc.). A case study has been performed using condition monitoring data and historical in-service inspection data retrieved from the piping inspection database (PIDB) belonging to a P&PF located on the NCS.
A.M.N.D.B. SENEVIRATNE R.M. CHANDIMA RATNAYAKE. Classification of Static Mechanical Equipment using a Fuzzy Inference System: A Case Study from an Offshore Installation [J]. Int J Performability Eng, 2015, 11(1): 53-60.
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URL: https://www.ijpe-online.com/EN/10.23940/ijpe.15.1.p53.mag
https://www.ijpe-online.com/EN/Y2015/V11/I1/53