Lookup NU author(s): Ahmed Onsy Onsy,
Dr Bob Bicker,
Professor Brian Shaw
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Power transmissions are one of the most important parts of any mechanical system, and in order to achieve reliable operation robust and effective maintenance strategies must be used to trace the condition of the operating transmission, classifying faults, and predicting the onset of failure. This paper presents a novel intelligent diagnostic health management system that is able to monitor different gear faults by combining vibration, acoustic emission, and oil debris analysis with fuzzy logic sensory fusion algorithms. An intelligent diagnostic health management system (IDHMS) has been implemented on a back-to-back gearbox and can be adapted to monitor the behaviour of transmission systems in automotive, aircraft, wind turbine, and industrial machinery. The study describes the operation of the online IDHMS under variable conditions and its ability in detecting transmission gear defects and thus preventing sudden unexpected failures. The results support the recent trend in using IDHMSs in CBM strategies. © 2010 COMADEM International.
Author(s): Onsy A, Bicker R, Shaw B
Publication type: Article
Publication status: Published
Journal: International Journal of COMADEM
Print publication date: 01/04/2010
ISSN (print): 1363-7681
Publisher: COMADEM International