The references listed below are related to the technology streams considered by AIRMES. The list of publications prepared by the AIRMES partners will be regularly updated. Feel free to inform us of any new paper of interest for the AIRMES community.
Progonostics
- 1. Mejia, D., Medjaher, K., Zerhouni, V., Tripot, G. (2012), A data-driven failure prognostics method based on mixture of Gaussians hidden markov models. IEEE Transactions on Reliability, 61 (2), pp. 491-503.
- 2. Eker, O.F., Camci, F., and Jennions, I.K. (2014), A Similarity-based Prognostics Approach for Remaining Useful Life Prediction, The 2nd European Conference of the PHM Society, Nantes, France, 8-10 July
- 3. Eker, O.F., Camci, F., and Jennions, I.K. (2014), Physics-Based Degradation Modelling for Filter Clogging, The 2nd European Conference of the PHM Society, Nantes, France, 8-10 July.
- 4. Garga, A., McClintic, K., Campbell, R., Yang, C., Lebold, M., Hay, T., and Byington, C. (2001),Hybrid reasoning for prognostic learning in CBM systems, in Proc. IEE Aerospace Conf., vol. 6, pp. 2957–2969.
- 5. Swanson, C.D. (2001), A general prognostic tracking algorithm for predictive maintenance, in Proc. IEEE Aerospace Conf., vol. 6, pp.2971–2977.
- 6. Liu, Z., Li, Q., and Mu C. (2012), A hybrid LSSVR-HMM based prognostics approach, in Proc. 4th Int. Conf. Intell. Human-Machine Syst. Cybernet, vol. 2, pp. 275–278.
- 7. Celaya, J., Saxena, A., Saha, S.,and Goebel, K. (2011), Prognostics of power MOSFETs under thermal stress accelerated aging using data-driven and model-based methodologies, in PHM Society Conference.
- 8. Bartram, G.,and Mahadevan, S. (2012), Prognostics and health monitoring in the presence of heterogeneous information, in Proc. Annual. Conference. Prognostic Health Management Society, vol. 3.
Data analytics
- 9. F. Camci and R.B. Chinnam (2006), Hierarchical HMMs for Autonomous Diagnostics and Prognostics, International Joint Conference on Neural Networks, pp. 2445 – 2452
- 10. Francesco Ricci, Lior Rokach and Bracha Shapira (2011), Introduction to Recommender Systems Handbook, Recommender Systems Handbook, Springer, pp. 1-35
- 11. G.D. Forney (1973), The Viterbi algorithm. Proceedings of the IEEE, 61 (3), pp. 268–278
- 12. George E. Monahan (1982), State of the Art—A Survey of Partially Observable Markov Decision Processes: Theory, Models, and Algorithms, Management Science 28(1), pp. 1-16
Virtual reality
- 13. Yu Quan, W., Chao-shuai, H. & Wei-wei, L. (2014), Research on repair time modelling in virtual maintenance simulation. Applied Mechanics and Materials, 635-637, pp.
- 1879-1883.
- 14. Koch, C., Neges, M., König, M. & Abramovici, M. (2012), BIM-based Augmented Reality for Facility Maintenance. Australasian Journal of Construction Economics and Building Conference Series, 2(1), pp. 23-34.
- 15. Xie, H., Shi, W. & Issa, R. (2011), Using RFID and real-time virtual reality simulation for optimization in steel construction. Journal of Information Technology in Construction, 16, pp. 291-308.
- 16. Zhou, J., Wang, H., Ren, G. & Cao, F. (2013), Vehicle Design and Realization of Virtual Maintenance Training System. Advanced Materials Research, 694–697, pp. 2449-2453.
- 17. Visiongain (2012), The military simulation and virtual training market 2012-2022. 344 pages.
- 18. Produtech (2015), Accessed online [25/11/2014] at http://mobilizadores.produtech.org/en/project-psi?set_language=en
- 19. PSI_Newsletter_ISQ-revista_vf.pdf. Accessed online [25/11/2014]: http://mobilizadores.produtech.org/pt/psi/newsletter/newsletter-psi-7/view
- 20. Fonseca, B., Paredes, H., Rafael, J., Morgado, L. & Martins, P. (2011), A Software Architecture for Collaborative Training in Virtual Worlds: F-16 Airplane Engine Maintenance. In A.S. Vivacqua, C. Gutwin, and M.R.S. Borges (Eds.): CRIWG 2011, LNCS 6969, pp. 102-109.
- 21. Vora, J., Nair, S., Gramopadhye, A., Duchowski, A., Melloy, B. & Kanki, B. (2002), Using virtual reality technology for aircraft visual inspection training: presence and comparison studies. Applied Ergonomics, 33(6), pp. 559-70.
- 22. Shao-hua, H. & WU Xin-yue, W. (2008). Research and Application of Desktop Virtual Reality System for Maintenance Training. Computer Engineering, 34(17), pp. 276-278.
- 23. Sikorsky (2014). Accessed online [25/11/2014]: www.sikorsky.com/About+Sikorsky/News/Press+Details?pressvcmid=d0dd689ff468d210VgnVCM1000004f62529fRCRD
- 24. Zhang, P., Zhao, S., Tan, B., Yu, L. & Hua, K. (2011), Applications of Decision Support System in Aviation Maintenance. In Chiang Jao (Ed.) Efficient Decision Support Systems - Practice and Challenges in Multidisciplinary Domains, pp. 397-412.
- 25. Papakostas, N., Papachatzakis, P., Xanthakis, V., Mourtzis, D. & Chryssolouris, G. (2010). An approach to operational aircraft maintenance planning. Decision Support Systems, 48(4), pp. 604–612.
- 26. Van den Bergh, J., De Bruecker, P., Beliën, J., De Boeck, L. & Demeulemeester, E. (2013). A three-stage approach for aircraft line maintenance personnel rostering using MIP, discrete event simulation and DEA. Expert Systems with Applications, 40,(7), 2659–2668.
Contextualised documentation
- 27. Taylor, M. (2008), Final Report - TATEM (Technologies a
- 28. Lampe, M., M. Strassner and E. Fleisch (2004), A Ubiquitous Computing environment for aircraft maintenance. Proceedings of the 2004 ACM symposium on Applied computing. Nicosia, Cyprus, ACM: pp. 1586-1592.
- 29. McDonald, N. (2010). HILAS - Final Periodic Activity Report. FP6 – Aerospace, Project reference: 516181, Brussels.
- 30. Muller, A., A. Crespo Marquez and B. Lung (2008), On the concept of e-maintenance: Review and current research. Reliability Engineering & System Safety 93(8): pp. 1165-1187.
- 31. Candell, O., R. Karim and P. Söderholm (2009), eMaintenance-Information logistics for maintenance support. Robotics and Computer-Integrated Manufacturing 25(6): pp. 937-94
- 32. Sudarsan, R., S. J. Fenves, R. D. Sriram and F. Wang (2005), A product information modeling framework for product lifecycle management. Computer-Aided Design 37(13): pp. 1399-1411.
- 33. Bermell-Garcia, P., W. J. C. Verhagen, S. Astwood, K. Krishnamurthy, J. L. Johnson, D. Ruiz, G. Scott and R. Curran (2012), A framework for management of Knowledge-Based Engineering applications as software services: Enabling personalization and codification. Advanced Engineering Informatics 26(2): pp. 219-230.
- 34. W.J.C. Verhagen, B. de Vrught, J. Schut and R. Curran (accepted), A Method for Identification of Automation Potential through Modelling of Engineering Processes and Quantification of Information Waste. Advanced Engineering Informatics.
- 35. Sobolewski, M. and R. M. Kolonay (2006). Federated Grid Computing with Interactive Service-oriented Programming. Concurrent Engineering 14(1): pp. 55-66.
- 36. Papazoglou, M. P. (2003). Service-oriented computing: Concepts, characteristics and directions. Proceedings of the Fourth International Conference on Web Information Systems Engineering, 2003 (WISE 2003), IEEE
- 37. Davies, J., F. van Harmelen and D. Fensel. Towards the semantic web: ontology-driven knowledge management. John Wiley & Sons, Inc., 2002.
- 38. Uschold, M. and M. Gruninger (1996). Ontologies: Principles, methods and applications. Knowledge Engineering Review 11(2): pp. 93-136.
- 39. Matsokis, A. and D. Kiritsis (2010). An ontology-based approach for Product Lifecycle Management. Computers in Industry 61(8): pp. 787-797.
- 40. Verhagen, W. J. C. and R. Curran (2013). An ontology-based approach for aircraft maintenance task support. 20th ISPE International Conference on Concurrent Engineering, Melbourne (AUS), IOS Press.
- 41. Infosys, Time to Enable Mobility in Aviation MRO Software Solutions, White Paper.
Maintenance planning Optimisation
- 42. Karisch, S.E, S.S. Altus, G. Stojkovic and M Stojkovic (2012). Operations. In ‗Quantitative Problem Solving Methods in the Airline Industry – A Modeling Methodology Handbook‘, Barnhart, C. and S. Barry (eds). Springer Science.
- 43. Sriram, C. and A. Haghani (2003). An optimization model for aircraft maintenance scheduling and re-assignment, Transportation Research Part A: Policy and Practice, Vol. 37(1).
- 44. Sarac, A., R. Batta and C.M. Rump (2006). A branch-and-price approach for operational aircraft maintenance routing, European Journal of Operational Research, Vol. 175(3).
- 45. ARAMIS, FP3. Project reference: R2046, Brussels.
- 46. RepAIR, FP7 – Transport, Project reference: 605779, Brussels.
- 47. ALAMSA (2011). Project brochure, FP7. Project reference: 314768, Brussels.
- 48. VIBRATION (2014). Periodic Report Summary 1, FP7. Project reference: 605549, Brussels.
- 49. Curran, R., T. Stuivenberg, T. Tinga, A. Ghobbar and H. Udluft (2012). A Value Operations Methodology (VOM) approach to usage driven maintenance. Journal of Aerospace Operations, Vol 1(4).
Modelling for Safety and certification assessment
- 50. M. A. Lopez Campos, A. Crespo Marquez (2010), Modelling a Maintenance Management Framework Based on PAS 55 Standard, Quality and Reliability Engineering International.
- 51. O. Poitou (2009), Maintenance Aéronautique : Etudier l‘impact d‘un système logiciel sur le métier par une approche orientée modèle. Journée de l‘AFIS.
- 52. P. Bieber, J. Brunel, E. Noulard, C. Pagetti, T. Planche and F. Vialard (2010). "Preliminary Design of Future Reconfigurable IMA Platforms - Safety Assessment" In 27th International Congress of the Aeronautical Sciences (ICAS 2010).
- 53. M. H. Karray, B. Chebel-Morello, N. Zerhouni (2012), A formal ontology for industrial maintenance. Applied Ontology Journal, Volume 7, issue 3, IOS Press, pp. 269-310.
- 54. P. Bieber, R. Delmas, C. Seguin (2011), DALculus – Theory and Tool for Development Assurance Level Allocation, Safecomp, 30th International Conference on Computer Safety, Reliability and Security. nd Techniques for New Maintenance Concepts). FP6 – Aerospace, Project reference: 502909, Brussels.