Human reliability analysis for visual inspection in aviation maintenance by a Bayesian network approach

Transportation Research Record

Volumn 2449, Issue , 2014, Pages 105-113

  Chen, Wei ^a   Huang, Shuping ^a  

^a SHANGHAI JIAO TONG UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

BARIUM COMPOUNDS; DATA FUSION; INFORMATION MANAGEMENT; INSPECTION; MAINTENANCE; RELIABILITY ANALYSIS;

AVIATION MAINTENANCE; BAYESIA N NETWORKS; ERROR MANAGEMENT; FACTORS ANALYSIS; HUMAN ERRORS; HUMAN RELIABILITY ANALYSIS; OBJECTIVE INFORMATION; SAFETY DATA; SUBJECTIVE INFORMATION; VISUAL INSPECTION;

BAYESIAN NETWORKS;

EID: 84938571820     PISSN: 03611981     EISSN: 21694052     Source Type: Journal    
DOI: 10.3141/2449-12     Document Type: Review

References (24)

1. Shepherd, W.T., W.B. Johnson, C.G. Drury. J.C. Taylor, and D. Berninger. Human Factors in Aviation Maintenance. Phase I: Progress Report. Report DOT/FAA/AM-91/16. FAA, U.S. Department of Transportation, 1991.
2. Gramopadhye, A. K., and C. G. Drury. Human Factors in Aviation Maintenance: How We Ciot to Where We Are. International Journal of Industrial Ergonomics, Vol. 26. No. 2. 2000. pp. 125-131.
3. Drury, C.G., and J. Watson. Good Practices in Visual Inspection. Human Factors in Aviation Maintenance-Phase Nine: Progress Report. www.hl'skyway.l'aa.gov. 2002.
4. Griffith, C.G., and S. Mahadevan. Inclusion of Fatigue Effects in Human Reliability Analysis. Reliability Engineering and System Safety, Vol. 96. 2011. pp. 1437-1447.
5. Xie. H.W., Z.Q. Sun, X.X. Li, Z.Y. Li, M. Zhang, X.J. Shi, and L. Li. An Overview of Typical Methods for Human Reliability Analysis. Journal of National University of Defense Technology, Vol. 29. No. 2. 2007. pp. 101-107.
6. Kuhnert, P. M., and K. R. Hayes. How Believable is Your BBN. Proc, 18th World IMACS/MOPSIM Congress, Cairns, Queensland, Australia, 2009. pp. 13-17.
7. Chen, W., and S.P. Huang. Human Reliability Analysis in Aviation Maintenance by a Bayesian Network Approach. Presented at 11th International Conference on Structural Safety and Reliability. New York, 2013.
8. Pearl, J. Probabilistic Reasoning in Expert Systems. Morgan Kaufmann, Inc., San Mateo, Calif., 1988.
9. Cooper, G. F., and E. Herskovils. A Bayesian Method for the Introduction of Probabilistic Networks from Data. Machine Learning. Vol. 9. No. 4. 1992. pp. 309-347.
10. Mbakwe, A. C, Y.-J. Lee, K. Choi, and A. A. Saka. Traflic Safety Analysis for Developing Countries Using Delphi Technique and Bayesian Network. Presented at 91st Annual Meeting of the Transportation Research Board, Washington, D.C., 2012.
11. Liu, R., S.S. Ba, and J. P. Liu. Quantify and Control the Operational Risk of Commercial Bank by a Bayesian Network Approach: An Example Based on Real Business Processes. Review of Investment Studies, No. 7,2011, pp. 2-13.
12. Henrion. M. Practical Issues in Constructing a Bayes' Belief Network. Proc., 3rd Animal Conference on Uncertainly in Artificial Intelligence, Corvallis, Ore. 1987. pp. 132-139.
13. Onisko, A. M.J. Druzdzel, and H. Wasykik. Learning Bayesian Network Parameters from Small Data Sets: Application of Noisy-OR Gates. International Journal of Approximate Reasoning, Vol. 27. No. 2. 2001. pp. 165-1X2.
14. Das, B. Generating Conditional Probabilities for Bayesian Networks: Easing the Knowledge Acquisition Problem. Computing Research Repository, Vol. cs.AI/0411034, 2004.
15. Lemmer, J.F., and D. E. Gossink. Recursive Noisy OR-A Rule for Estimating Complex Probabilistic Interactions. IEEE Transactions on Systems, Man. and Cybernetics. Pari H: Cybernetics, Vol. 34. No. 6. 2004. pp. 2252-2261.'
16. Basra, G., and B. Kirwan. Collection of Offshore Human Error Probability Data. Reliability Engineering and System Safety, Vol. 61. No. I. 1998. pp. 77-93.
17. Cronbach, L.J. Coefficient Alpha and the Internal Structure of Tests. Psychometrika. Vol. 16. No. 3. 1951. pp. 297-334.
18. Zhang, H., and M.F. Tian. Application of Reliability Analysis in Designing Questionnaires. Statistics and Decision, No. 21. 2(K)7. pp. 2. 27.
19. Schmidt, J.K. D. Lawson. and R. Figlock. Human Factors Analysis it Classification System-Maintenance Extension (HFACS-ME) Review of Select NTSH Maintenance Mishaps: An Update, www.hfskyway.faa. gov/HFSkyway/HF-Maintenance. Accessed June 6. 2012.
20. Wiegmann, D. A., and S. A. Shappell. A Human Error Analysis of Commercial Aviation Accidents Using the Human Factors Analysis and Classification Systems (HFACS). Report DOT/FA A/A MO 1/3. I-AA. U.S. Department of Transportation, 2001.
21. Vagias. N. A Bayesian Network Application for the Prediction of Human Fatigue in the Marine Industry. PhD dissertation. National Technical University of Athens. Athens. Greece. 2011).
22. Lan, P. Q. Ji, and CO. Looney. Information Fusion with Bayesian Networks for Monitoring Human Fatigue. Proc. Fifth International Conference on IFFF. Vol. I. 2002. pp. 535-542.
23. Jens. B. Visual Inspection of Composite Structures. LASA Research Project Final Report! 2007.
24. Kanki. B. G., and C. L. Brasil. Analysis of Ramp Damage Incidents and Implications for Future Composite Aircraft Structure. NASA Technical Report, 2009.