참고문헌 (32)

1. Adhikari PP and Buderath M. 2016. A framework for aircraft maintenance strategy including CBM. Proceedings of European Conference of the Prognostics and Health Management 3(1):1-10. 

2. Choi CH. 2019. A case study on application of R&D quality assuarance to secure high quality for military supplies. Journal of the Korean Society for Quality Management 47(1):151-162. 

   원문보기 상세보기

3. DAPA(Defense Acquisition Program Administration). 2017. Korean defense specification: radar set, local air defense. 

4. DAPA(Defense Acquisition Program Administration). 2020. Korean defense specification: helicopter, utility. 

5. DAPA(Defense Acquisition Program Administration). 2021. Korean defense specification: gun, air defense artillery, 30mm, wheeled, self-propelled. 

6. DAPA(Defense Acquisition Program Administration). 2021. Korean defense specification: thermal imaging system. 

7. DoD(Department of Defense). 2008. Condition Based Maintenance Plus DoD Guidebook. 

8. DoD(Department of Defense). 2020. Instruction 4151.22 Condition-Based Maintenance Plus for Materiel Maintenance. 

9. Gang Niu, Yang BS, and Pecht M. 2010. Development of an optimized condition-based maintenance system by data fusion and reliability-centered maintenance. Reliability Engineering and System Safety. 95(7). 786-796. 

   상세보기

10. Jo G, Cho Y, and Jang J. 2021. An experimental study on CBM+ of trasmission in depot maintenance for missile vehicle system. Journal of the Military Operations Research Society of Korea 47(1):46-62. 

11. Jung IH, Seo S, and Jang BK. 2017. A case study on the quality control strengthening in development phase of weapon systems. Journal of the Korean Society for Quality Management 45(3):349-364. 

    원문보기 상세보기

12. Kilby TS, Rabeno E, and Earvey J. 2011. Enabling condition based maintenance with health and usage monitoring systems. Proceedings of 7th DSTO international conference on Health and Usage Monitoring; 2011 Feb 28 - Mar 2; Melbourne Australia. 

13. Kim GY, Hwang JK, Im YK, and Ha SW. 2019. Roadmap configuration for technical elements acquisition of military fixed wing aircraft parts PHM and verification of parts selection phase. Journal of the Korean Society for Aeronautical & Space Sciences 47(9):665-677. 

    원문보기 상세보기

14. Kim SJ, Choe BH, and Kim W. 2017. Prognostics for Industry 4.0 and its application to fitness-for-service assessment of corroded gas pipelines. Journal of the Korean Society for Quality Management 45(4):649-664. 

    원문보기 상세보기

15. Kumar S, Goyal D, Dang RK, Dharni SS, and Mabla BS. 2018. Condition based maintenance of bearing and gears for fault detection-a review. Materials today: Proceedings 5(2):6128-6237. 

    상세보기

16. MND(Ministry of National Defense). 2021. Directive on defense force development. 

17. MND(Ministry of National Defense). 2021. Directive on total life cycle management. 

18. Park YM, Kim BU, Kim SH, and Noh SW. 2019. A study on durability life improvement of blower for military armored vehicle and self-propelled artillery. Journal of the Korean Society for Quality Management 47(3):453-465. 

    원문보기 상세보기

19. Powrie H and Novis A. 2006. Gas path debris monitoring for F-35 Joint Striker Fighter propulsion system PHM. Proceedings of aerospace conference IEEE; 2006 Mar 4-11; MT USA. 

20. Rabeno E and Bounds M. 2009. Condition based maintenance of military ground vehicles. Proceedings of aerospace conference IEEE; 2009 Mar 7-14; MT USA. 

21. Seo BS, Hwang TW, Jang BC, Song JH, Sohn YH, Lee DG, and Yoon BD. 2019. Introduction of the 4th industrial revolition and seccess stories through PHM technology. Journal of the Korean Society of Mechanical Engineers 59(1):32-37. 

22. Seo BW, Yim SO, Choi YH, and Kim BH. 2020. A methodology research on development stage of submarine vessel through QMST/QCG system. Journal of the Korean Society for Quality Management 48(3):521-534. 

    원문보기 상세보기

23. Seo MK and Yun WY. 2019. Condition monitoring and diagnosis of a hot strip roughing mill using an autoencoder 47(1):75-86. 

    원문보기 상세보기

24. Seo YH, Kim SR, Kim BK, and Ma PS. 2018. Life prediction of bearing by statistical estimation of state index. Journal of the Korean Society for Noise and Vibration Engineering 28(3):339-347. 

    상세보기

25. Serradilla O, Zugasti E, Cernuda C, Aranburu A, Okariz JR, and Zurutuza U. 2020. Interpreting remaining useful life estimations combining explainable artificial intelligence and domain knowledge in industrial machinery. Proceedings of IEEE international conference on Fuzzy Systems;19-42 July 2020; Glasglow UK. 

26. Shin JK and Jun HB. 2015. On condition based maintenance policy. Journal of Computational Design and Engineering 2(2):119-227. 

    원문보기 상세보기

27. Teixeira HN, Lopes I, and Braga, AC. 2020. Condition-based maintenance implementation: a literature review. Procedia Manufacturing 51:228-235. 

    

28. Tinga T. 2013. Predictive maintenance of military systems based on physical failure models. Chemical Engineering Transactions 33:295-300. 

29. Vachtsevanos G, Lewis F, Roemer M, Hess A, and Wu B. 2006. Intelligent fault diagnosis and prognosis for engineering systems. 1st ed. Huboken, New Jersey; John Wiley and Sons Inc.. 

30. Wang Y, Zhao Y, and Addepalli S. 2020. Remaining useful life prediction using deep learning approaches: a review. Procedia Manufacturing 49:81-88. 

    상세보기

31. Xiang L, Qian D, and Jian-Qiao S. 2018. Remaining useful life estimation in prognostics using deep convolution neural networks. Reliability Engineering and System Safety 172:1-11. 

    상세보기

32. Yu BY, Honda T, Zubair SM, Sharqawy MH, and Yang MC. 2016. A maintenance-focused approach to complex system design. Artificial Intelligence for Engineering Design, Analysis and Manufacturing 30(3):263-276. 

    상세보기