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A novel intelligent health monitoring system for gear fatigue failure prediction

Lookup NU author(s): Ahmed Onsy Onsy, Dr Bob Bicker, Professor Brian ShawORCiD

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Abstract

Bending fatigue failure in gears is catastrophic and can cause significant damage and to prevent this damage, it is necessary to monitor its initiation and occurrence. Currently, three monitoring techniques are in use: vibration, acoustic emission, and oil debris analysis; however our studies have shown the value of fusing the data from all three techniques. This paper presents a novel intelligent health monitoring system (IHMS) that combines vibration, acoustic emission (AE), oil debris analysis (ODA) using fuzzy logic. The IHMS has been implemented on a back-to-back gearbox and can be adapted to monitor the behavior of transmission systems in aircraft, marine, wind turbine, and industrial machinery. The study describes the operation of the online IHMS under variable conditions and its capability in detecting transmission gear bending defects to prevent sudden unexpected failures.

Publication metadata

Author(s): Onsy A, Bicker R, Shaw B

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: Advances in Maintenance and Condition Diagnosis Technologies Towards Sustainable Society, Proc. 23rd Int. Congr. Condition Monitoring and Diagnostic Engineering Management (COMADEM)

Year of Conference: 2010

Pages: 387-392

Publisher: Society of Plant Engineers

Library holdings: Search Newcastle University Library for this item

ISBN: 9784883254194

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