Artificial neural network application of modeling failure rate for Boeing 737 tires

Quality and Reliability Engineering International

Volumn 27, Issue 2, 2011, Pages 209-219

  Al Garni, Ahmed Z ^a   Jamal, Ahmad ^b  

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

^b MCGILL UNIVERSITY   (Canada)

Author keywords

back propagation; failure rate; modeling; neural networks; reliability analysis; Weibull regression model

Indexed keywords

ARTIFICIAL NEURAL NETWORK; BOEING 737; FAILURE RATE; FEEDFORWARD BACKPROPAGATION; INDEPENDENT VARIABLES; LEARNING RULES; MODEL VALIDATION; MODELING; MODELING FAILURES; REGRESSION MODEL; WEIBULL; WEIBULL MODELS;

BACKPROPAGATION ALGORITHMS; FORECASTING; MATHEMATICAL MODELS; NEURAL NETWORKS; REGRESSION ANALYSIS; RELIABILITY ANALYSIS; TIRES;

QUALITY ASSURANCE;

EID: 79951889525     PISSN: 07488017     EISSN: 10991638     Source Type: Journal    
DOI: 10.1002/qre.1114     Document Type: Article

References (18)

1. Wu FY, Yen KK,. Application of neural network in regression analysis. IEEE Transactions on Power Systems 1992; 23 (1-4): 93-95.
2. Lu C, Wu H, Vemmuri S,. Neural network based short-term load forecasting. IEEE Transactions on Power Systems 1993; 8 (1): 336-342.
3. Al-Garni AZ, Ahmed SA, Siddiqui M,. Modeling failure rate for Fokker F-27 tires using neural network. Transactions of the Japan Society for Aeronautical and Space Sciences 1998; 41 (131): 29-37. (Pubitemid 128754044)
4. Ganguli R, Chopra I, Has D,. Helicopter rotor system fault detection using physics-based model and neural network analysis. AIAA Journal 1998; 36 (6): 1078-1086. (Pubitemid 128584727)
5. Bailey RA, Pidaparti RM, Jayanti S, Palakal MJ,. Corrosion prediction in aging aircraft materials using neural networks. AIAA/ASME/ASCE/AHS/ASC Structures, Proceedings of Structural Dynamics and Materials Conference, Atlanta, GA, U.S.A., vol. 1(111), 2000; 2058-2067.
6. Pidaparti RM, Jayanti S, Palakal MJ,. Residual strength and corrosion rate predictions of aging aircraft panels: Neural network study. AIAA Journal of Aircraft 2002; 39 (1): 175-180. (Pubitemid 34172809)
7. Jennifer S, Linda T,. The use of artificial neural networks to model launch vehicle reliability. International Astronautical Federation-55th International Astronautical Congress, Vancouver, Canada, vol. 13, 2004; 8690-8696.
8. Lin CC, Tseng HY,. A neural network application for reliability modelling and condition-based predictive maintenance. International Journal of Advanced Manufacturing Technology 2005; 25: 174-179. DOI: 10.1007/s00170-003-1835-3. (Pubitemid 40034743)
9. Al-Garni AZ, Jamal A, Ahmad AM, Al-Garni AM, Tozan M,. Failure-rate prediction for De Havilland Dash-8 tires employing neural network technique. AIAA Journal of Aircraft 2006; 43 (2): 537-543.
10. Al-Garni AZ, Jamal A, Saeed F, Kassem AH,. Failure rate analysis of Boeing 737 brakes employing neural network. Proceedings of the 7th AIAA Aviation Technology, Integration, and Operations (ATIO) Conference, Belfast, Northern Ireland, 2007.
11. Lundberg B,. Fatigue life of airplane structures. Journal of the Aeronautical Sciences 1955; 22 (6): 349-402.
12. Bavuso SJ,. Aerospace applications of Weibull and Monte Carlo simulation with importance sampling. Proceedings of the Annual Reliability and Maintainability Symposium, Philadelphia, U.S.A., 1997; 208-210.
13. Al-Garni AZ, Sahin AZ, Al-Ghamdi AS, Al-Kaabi S,. Reliability analysis of aeroplane brakes. Quality and Reliability Engineering International 1999; 15: 143-150.
14. Haykin S,. Neural Networks, a Comprehensive Foundation. Prentice-Hall: Englewood Cliffs, NJ, 1999.
15. Werbos P,. Back-propagation through time: What it does and how to do it. Proceedings of IEEE 1990; 78 (10): 1550-1560.
16. Martin R, Heinrich B,. Direct adaptive method for faster back-propagation learning: The RPROP algorithm. Proceedings of IEEE International Conference on Neural Networks 1993; 586-591.
17. Tozan M, Al-Garni AZ, Al-Garni AM, Jamal A,. Failure data analysis for aircraft maintenance planning. Third Aircraft Engineering Symposium, Jeddah, 2004.
18. Sheikh AK, Al-Garni AZ, Badar MA,. Reliability analysis of airplane tyres. International Journal of Quality and Reliability Management 1996; 13 (8): 28-38.