Operational failure assessment of Remotely Operated Vehicle (ROV) in harsh offshore environments

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 likel...

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Bibliographic Details
Published in:Pomorstvo
Main Authors: Nitonye, Samson, Adumene, Sidum, Orji, Charles Ugochukwu, Effiong Udo, Anietie
Format: Article in Journal/Newspaper
Language:English
Published: 2021
Subjects:
Failure rate
Failure probability
Fault tree analysis
MTBF
ROV
Control system
Offshore environment
TEHNIČKE ZNANOSTI. Tehnologija prometa i transport
TECHNICAL SCIENCES. Traffic and Transport Technology
Arctic
Online Access:https://www.unirepository.svkri.uniri.hr/islandora/object/pfri:2556
https://urn.nsk.hr/urn:nbn:hr:187:809431
https://www.unirepository.svkri.uniri.hr/islandora/object/pfri:2556/datastream/FILE0
Description
Summary: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.

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