Neural network-based failure rate prediction for De Havilland Dash-8 tires

Engineering Applications of Artificial Intelligence

Volumn 19, Issue 6, 2006, Pages 681-691

  Al Garni, Ahmed Z ^a,b   Jamal, Ahmad ^a,b   Ahmad, Abid M ^a,c   Al Garni, Abdullah M ^a,b   Tozan, Mueyyet ^a,d  

^a KING FAHD UNIVERSITY OF PETROLEUM AND MINERALS   (Saudi Arabia)

^b KFUPM   (Saudi Arabia)

^c Civil Engineering Department   (Saudi Arabia)

^d Aerospace Enginnering Department   (Saudi Arabia)

Author keywords

Aircraft reliability; Back propagation; Failure rate; Neural networks; Preventive maintenance; Weibull regression model

Indexed keywords

ALGORITHMS; BACKPROPAGATION; FAILURE ANALYSIS; LEARNING SYSTEMS; MATHEMATICAL MODELS; NEURAL NETWORKS; PREVENTIVE MAINTENANCE; REGRESSION ANALYSIS; TIRES;

AIRCRAFT RELIABILITY; BACK-PROPAGATION; FAILURE RATE; WEIBULL REGRESSION MODEL;

AIRCRAFT PARTS AND EQUIPMENT;

EID: 33747878129     PISSN: 09521976     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.engappai.2006.01.005     Document Type: Article

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