Pomorstvo, Vol. 35 No. 2, 2021.
Prethodno priopćenje
https://doi.org/10.31217/p.35.2.10
Operational failure assessment of Remotely Operated Vehicle (ROV) in harsh offshore environments
Samson Nitonye
; Department of Marine Engineering, Rivers State University, Nkpolu-Oroworukwo Port Harcourt, Nigeria
Sidum Adumene
; Faculty of Engineering & Applied Science, Memorial University of Newfoundland, St. John’s NL, Canada
Charles Ugochukwu Orji
; Department of Marine Engineering, Rivers State University, Nkpolu-Oroworukwo Port Harcourt, Nigeria
Anietie Effiong Udo
; Department of Marine Engineering and Naval Architecture, Akwa Ibom State University, Uyo, Nigeria
Sažetak
For an effective integrity assessment of marine robotic in offshore environments, the elements’ failure characteristics need to be understood. A structured probabilistic methodology is proposed for the operational failure assessment (OFA) characteristics of ROV. The first step is to assess the likely failure mode of the ROV system and its support systems. This captures the interaction and failure induced events during operation. The identified potential failure modes are further developed into logical connectivity based on the cause-effect relationship. The logical framework is modeled using the fault tree analysis technique to predict the ROV operational failure probability in an uncertain harsh environment. The fault tree analysis captured the logical relationship between the primary, intermediate, and top events probability. The importance measure criteria were adopted to identify the most probable events, links, and their importance on the failure propagation. The model was demonstrated with an ROV for deep arctic water subsea operations. The result identified the control system, communication linkages, human factor, among others, as most critical in the ROV operational failure. The methodology’s application provides core information on the Mean time between failure (MTBF) of the ROV system that could aid integrity management and provides a guide on early remedial action against total failure.
Ključne riječi
Failure rate; Failure probability; Fault tree analysis; MTBF, ROV; Control system; Offshore environment
Hrčak ID:
267182
URI
Datum izdavanja:
22.12.2021.
Posjeta: 1.104 *