References
- An, D., Kim, N. H., and Choi, Joo-Ho. 2015. "Practical options for selecting data-driven or physics-based prognostics algorithms with reviews." Reliability Engineering and System Safety 133:223-236. https://doi.org/10.1016/j.ress.2014.09.014
- Bae, S. J. 2016. "Data-based Prognostics and Health Management," IE Magazine 23(4):9-12.
- Bazan, F. and Beck, A. 2013. "Stochastic process corrosion growth models for pipeline reliability." Corrosion Science 74:50-58. https://doi.org/10.1016/j.corsci.2013.04.011
- Cosham, A., Hopkins, P., and McDonald, K. 2007. "Best Practice for The Assessment of Defects in Pipelines." Engineering Failure Analysis 14:1245-1265. https://doi.org/10.1016/j.engfailanal.2006.11.035
- Dundulis, G., Zutautaitee, I., Janulionis, R., Usspuras, E., Rimkeviccius, S., and Eid, M. 2016. "Integrated failure probability estimation based on structural integrity analysis and failure data: Natural gas pipeline case." Reliability Engineering and System Safety 156:195-202. https://doi.org/10.1016/j.ress.2016.08.003
- Hasan, S., Khan, F., and Kenny, S. 2012. "Probability assessment of burst limit state due to internal corrosion." International Journal of Pressure Vessels and Piping 89:48-58. https://doi.org/10.1016/j.ijpvp.2011.09.005
- IBM. 2017. http://www.ibm.com/blogs/internet-of-things/industry-4-0-meets-cognitive-iot/, Accessed October 31.
- ISO. 2017. http://www.iso.org, Accessed October 31.
- Kim, S. B., and Kang, S. H., 2016. "Data science leads 4th Industrial Revolution." IE Magazine 23(3):9-13.
- Kim, S. J., Choe, B. H., Kim, W., and I. Kim. 2016. "A fuzzy inference based reliability method for underground gas pipelines in the presence of corrosion defects." Journal of Korean Institute of Intelligent Systems 26(5):343-350. https://doi.org/10.5391/JKIIS.2016.26.5.343
- Kwon, D., Hodkiewicz, M. R., Fan, J., Shibutani, T., and Michael Pecht. 2016. "IoT-Based Prognostics and Systems Health Management for Industrial Applications." IEEE Access 4:3660-3670.
- Javed, K., Gouriveau, R., and Zerhouni, N. 2017. "State of the art and taxonomy of prognostics approaches, trends of prognostics applications and open issues towards maturity at different technology readiness levels." Mechanical Systems and Signal Processing 94:214-236. https://doi.org/10.1016/j.ymssp.2017.01.050
- Lee, J., Bagheri, B., and Kao, H. 2015. "A Cyber-Physical Systems architecture for Industry 4.0-based manufacturing systems." Manufacturing Letters 3:18-23. https://doi.org/10.1016/j.mfglet.2014.12.001
- Lee, S., and Youn, B D.. 2015. "Industry 4.0 and Prognostics and Health Management." Noise and Vibration 25(1):22-28.
- Muller, A., Marquez, A., and Iung, B. 2008. "On the concept of e-maintenance." Reliability Engineering and System Safety 93:1165-1187. https://doi.org/10.1016/j.ress.2007.08.006
- Nunez, D. L., and Milton Borsato. 2017. "An ontology-based model for prognostics and health management of machines." Journal of Industrial Information Integration 6:33-46. https://doi.org/10.1016/j.jii.2017.02.006
- Ossai, C., Boswell, B., and Davies, I. 2015. "Pipeline failures in corrosive environments - A conceptual analysis of trends and effects." Engineering Failure Analysis 53:36-58. https://doi.org/10.1016/j.engfailanal.2015.03.004
- Pecht, M., and Rubyca Jaai. 2010. "A prognostics and health management roadmap for information and electronics- rich systems." Microelectronics Reliability 50:317-323. https://doi.org/10.1016/j.microrel.2010.01.006
- Seo, B., Jang, B., and Youn, B. D. 2015. "Prognostics and Its Engineering Applications with Vision." Noise and Vibration 25(1):7-15.
- Sikorska, J., Hodkiewicz, M., and Ma, L. 2011. "Prognostic modelling options for remaining useful life estimation by industry." Mechanical Systems and Signal Processing 25:1803-1836. https://doi.org/10.1016/j.ymssp.2010.11.018
- Zheng, X., and Fang, H. 2015. "An integrated unscented Kalman filter and relevance vector regression approach for lithium-ion battery remaining useful life and short-term capacity prediction." Reliability Engineering and System Safety 144:74-82. https://doi.org/10.1016/j.ress.2015.07.013
- Zio, E. 2016. "Some Challenges and Opportunities in Reliability Engineering." IEEE Transactions on Reliability 65(4):1769-1782. https://doi.org/10.1109/TR.2016.2591504