Abstract
NAVMAT Research project attempts an interdisciplinary approach by integrating Materials Engineering and Informatics under a platform of Knowledge Management. Failure analysis expands into forensics engineering for it aims not only to identify individual and symptomatic reasons of failure but to assess and understand repetitive failure patterns, which could be related to underlying material faults, design mistakes or maintenance omissions. NAVMAT approach utilizes a focused common-cause failure methodology for the naval and marine environment, to begin with. It will eventually support decision making through appropriate Artificial Intelligence and Natural Language Processing methods. The presented work describes the design of a knowledge based system dedicated to effective recording, efficient indexing, easy and accurate retrieval of information, history of maintenance and secure operation concerning failure incidents of marine materials, components and systems in a fleet organisation. Based on materials failure ontology, utilising artificial intelligence algorithms and modern approaches in data handling, NAVMAT aims at the optimisation of naval materials failure management and the support of decision making in Maintenance and Repair Operations (MRO), materials supplies and staff training.
Highlights
Some of the most important concerns in the management of materials and systems failure for a large organisation such as a fleet and/or its technical departments are: the meticulous recording and indexing of an incident, the assessment and identification of causes, the proposal of feasible solutions
Institutional and legal obstacles do not allow efficient use of the retired from active service personnel. It is worth mentioning as an example that, a marine engine shaft failure, remains as a faint trace of information in the memory of the ship, when after 3 years, all members of staff may have been re-allocated
NAVMAT aims to provide a point of reference for human-centric, intelligence knowledge management of naval materials failure, throughout the full lifecycle of such information, from knowledge encoding, to incident data gathering and entry, to search and reuse for decision support
Summary
Some of the most important concerns in the management of materials and systems failure for a large organisation (industry, service provider) such as a fleet and/or its technical departments are: the meticulous recording and indexing of an incident, the assessment and identification of causes, the proposal of feasible solutions To meet these concerns, quick access and retrieval of knowledge is a prerequisite. Institutional and legal obstacles do not allow efficient use of the retired from active service personnel It is worth mentioning as an example that, a marine engine shaft failure (together with the knowledge acquired by the staff involved in problem solving – data collection, assessment, repair), remains as a faint trace of information in the memory of the ship, when after 3 years, all members of staff may have been re-allocated.
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