Neural network models to anticipate failures of airport ground transportation vehicle doors

IEEE Transactions on Automation Science and Engineering

Volumn 7, Issue 1, 2010, Pages 183-188

  Smith, Alice E ^a   Coit, David W ^b   Liang, Yun Chia ^c  

^a AUBURN UNIVERSITY   (United States)

^b DEPARTMENT OF INDUSTRIAL AND SYSTEMS ENGINEERING   (United States)

^c YUAN ZE UNIVERSITY   (Taiwan)

Author keywords

Condition monitoring; Neural network; Predictive maintenance; Preventive maintenance; Transportation

Indexed keywords

AIRPORT AUTHORITIES; AUTOMATED CONDITIONS; AUTOMATED SYSTEMS; COST EFFECTIVE; CURRENT DEGRADATION; DATA COLLECTION; DEGRADED PERFORMANCE; DOOR SYSTEM; ELECTRICAL CURRENT; HARDWARE AND SOFTWARE; HIGH AVAILABILITY; INTERNATIONAL AIRPORT; MAINTENANCE POLICY; MECHANICAL DOOR; NEURAL NETWORK MODEL; OPERATING CONDITION; PITTSBURGH; PREDICTIVE MAINTENANCE; PROTOTYPE SYSTEM; SCHEDULED MAINTENANCE; SUPPORT CONDITIONS; TRANSPORTATION VEHICLES; VEHICLE DOORS; VEHICLE TO VEHICLES; VOLTAGE SIGNALS;

AIRPORTS; AUTOMATION; COMPUTER SOFTWARE; COMPUTER SOFTWARE MAINTENANCE; CONDITION MONITORING; DOORS; MAINTAINABILITY; NEURAL NETWORKS; VEHICLES;

PREVENTIVE MAINTENANCE;

EID: 73849124314     PISSN: 15455955     EISSN: None     Source Type: Journal    
DOI: 10.1109/TASE.2009.2020508     Document Type: Article

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