Accession Number : ADA259774
Title : Condition Based Machinery Maintenance (Helicopter Fault Detection). Phase I.
Descriptive Note : Final rept.
Corporate Author : ORINCON CORP LA JOLLA CA
Personal Author(s) : Brotherton, T W ; Pollard, T G
Report Date : 29 Jan 1993
Pagination or Media Count : 43
Abstract : A problem of current interest to the Navy is the automatic detection and classification of faults in mechanical systems such as the transmissions, gearboxes, and bearings of helicopters. The problem is important for both economic and safety reasons. Using automated fault detection and classification, machinery repair can be undertaken as needed and can prevent catastrophic failure. This condition-based maintenance approach is more efficient and cost-effective than the use of predetermined maintenance schedules. Additionally, automated fault detection and classification systems can alert machinery operators, such as helicopter pilots, of the onset of a mechanical problem, thus allowing the pilot to take precautions, such as landing the aircraft, before a potentially catastrophic failure occurs.
Descriptors : *DETECTION , *AIRCRAFT MAINTENANCE , *FAULT TOLERANT COMPUTING , HELICOPTERS , TRANSMISSION GEARS , TRANSMISSIONS(MECHANICAL)
Subject Categories : Aircraft
Computer Programming and Software
Distribution Statement : APPROVED FOR PUBLIC RELEASE