References
- Bousdekis, A., N. Papageorgiou, B. Magoutas, D. Apostolou, and G. Mentzas. 2018. “Enabling Condition-Based Maintenance Decisions with Proactive Event-Driven Computing.” Computers in Industry 100 (November 2016): 173–183. doi:10.1016/j.compind.2018.04.019.
- Camci, F., and R. B. Chinnam. 2010. “Health-State Estimation and Prognostics in Machining Processes.” IEEE Transactions on Automation Science and Engineering 7 (3): 581–597. doi:10.1109/TASE.2009.2038170.
- Curry, G., and R. M. Feldman. 2009. Manufacturing Systems Modeling and Analysis. Berlin, Heidelberg: Springer Berlin Heidelberg. doi:10.1007/978-3-540-88763-8.
- Dalzochio, J., R. Kunst, E. Pignaton, A. Binotto, S. Sanyal, J. Favilla, and J. Barbosa. 2020. “Machine Learning and Reasoning for Predictive Maintenance in Industry 4.0: Current Status and Challenges.” Computers in Industry. 123. 10.1016/j.compind.2020.103298.
- Feng, H., X. Lifeng, L. Xiao, T. Xia, and E. Pan. 2018. “Imperfect Preventive Maintenance Optimization for Flexible Flowshop Manufacturing Cells considering Sequence-Dependent Group Scheduling.” Reliability Engineering and System Safety 176: 218–229. doi:10.1016/j.ress.2018.04.004.
- Galán, H., and Michael. 2019. “Evidence-Based Asset Management Applied to Maintenance Function Control.” Journal of Quality in Maintenance Engineering 25 (4): 635–644. doi:10.1108/jqme-05-2018-0045.
- He, Y., X. Han, G. Changchao, and Z. Chen. 2018. “Cost-Oriented Predictive Maintenance Based on Mission Reliability State for Cyber Manufacturing Systems.” Advances in Mechanical Engineering 10 (1): 1–15. doi:10.1177/1687814017751467.
- Jin, Y., L. Chuan, and J. Geng. 2019. “A Fingertips-Based Approach to Select Maintenance Tool Automatically in Virtual Environment.” International Journal of Computer Integrated Manufacturing 32 (8): 761–776. doi:10.1080/0951192X.2019.1636407.
- Kumar, A., R. Shankar, and L. S. Thakur. 2018. “A Big Data Driven Sustainable Manufacturing Framework for Condition-Based Maintenance Prediction.” Journal of Computational Science 27 (July): 428–439. doi:10.1016/j.jocs.2017.06.006.
- Melin, W., R. Zhong, Q. Dai, and G. Huang. 2016. “A MPN-Based Scheduling Model for IoT-Enabled Hybrid Flow Shop Manufacturing.” Advanced Engineering Informatics 30 (4): 728–736. doi:10.1016/j.aei.2016.09.006.
- Mendel, J. M. 2019. “Type-2 Fuzzy Sets as Well as Computing with Words.” IEEE Computational Intelligence Magazine 14 ( 1): 82–95. 10.1109/MCI.2018.2881646.
- Morariu, C., O. Morariu, S. Răileanu, and T. Borangiu. 2020. “Machine Learning for Predictive Scheduling and Resource Allocation in Large Scale Manufacturing Systems.” Computers in Industry. doi:10.1016/j.compind.2020.103244.
- Mourtzis, D., and E. Vlachou. 2018. “A Cloud-Based Cyber-Physical System for Adaptive Shop-Floor Scheduling and Condition-Based Maintenance.” Journal of Manufacturing Systems 47 (October 2017): 179–198. doi:10.1016/j.jmsy.2018.05.008.
- Nayak, J. R., B. Shaw, and B. K. Sahu. 2018. “Application of Adaptive-SOS (ASOS) Algorithm Based Interval Type-2 Fuzzy-PID Controller with Derivative Filter for Automatic Generation Control of an Interconnected Power System.” Engineering Science and Technology, an International Journal 21 (3): 465–485. doi:10.1016/j.jestch.2018.03.010.
- Rahmati, S., A. Habib, A. Ahmadi, and K. Govindan. 2018. “A Novel Integrated Condition-Based Maintenance and Stochastic Flexible Job Shop Scheduling Problem: Simulation-Based Optimization Approach.” Annals of Operations Research 269 (1–2): 583–621. doi:10.1007/s10479-017-2594-0.
- Rødseth, H., P. Schjølberg, and A. Marhaug. 2017. “Deep Digital Maintenance.” Advances in Manufacturing 5 (4): 299–310. doi:10.1007/s40436-017-0202-9.
- Schmidt, B., and L. Wang. 2018. “Cloud-Enhanced Predictive Maintenance.” International Journal of Advanced Manufacturing Technology 99 (1–4): 5–13. doi:10.1007/s00170-016-8983-8.
- Tao, F., Q. Qinglin, A. Liu, and A. Kusiak. 2018. “Data-Driven Smart Manufacturing.” Journal of Manufacturing Systems 48: 157–169. doi:10.1016/j.jmsy.2018.01.006.
- Tian, Z., T. Jin, W. Bairong, and F. Ding. 2011. “Condition Based Maintenance Optimization for Wind Power Generation Systems under Continuous Monitoring.” Renewable Energy 36 (5): 1502–1509. doi:10.1016/j.renene.2010.10.028.
- Turner, C. J., C. Emmanouilidis, T. Tomiyama, A. Tiwari, and R. Roy. 2019. “Intelligent Decision Support for Maintenance: An Overview and Future Trends.” International Journal of Computer Integrated Manufacturing 32 (10): 936–959. doi:10.1080/0951192X.2019.1667033.
- Vafaei, N., R. A. Ribeiro, and L. M. Camarinha-Matos. 2019. “Fuzzy Early Warning Systems for Condition Based Maintenance.” Computers & Industrial Engineering 128 (February): 736–746. doi:10.1016/j.cie.2018.12.056.
- Valckenaers, P., B. Hendrik Van, H. Bruyninckx, B. S. Germain, B. Jan Van, and J. Philips. 2011. “Predicting the Unexpected.” Computers in Industry 62 (6): 623–637. doi:10.1016/j.compind.2011.04.011.
- Wang, J., K. Wang, Y. Wang, Z. Huang, and R. Xue. 2019. “Deep Boltzmann Machine Based Condition Prediction for Smart Manufacturing.” Journal of Ambient Intelligence and Humanized Computing 10 (3): 851–861. doi:10.1007/s12652-018-0794-3.
- Wu, H., and J. M. Mendel. 2002. “Uncertainty Bounds and Their Use in the Design of Interval Type-2 Fuzzy Logic Systems.” IEEE Transactions on Fuzzy Systems 10 (5): 622–639. doi:10.1109/TFUZZ.2002.803496.
- Xia, T., X. Lifeng, X. Zhou, and J. Lee. 2013. “Condition-Based Maintenance for Intelligent Monitored Series System with Independent Machine Failure Modes.” International Journal of Production Research 51 (15): 4585–4596. doi:10.1080/00207543.2013.775524.
- Xu, M., X. Jin, S. Kamarthi, and N.-E.-A. Md. 2018. “A Failure-Dependency Modeling and State Discretization Approach for Condition-Based Maintenance Optimization of Multi-Component Systems.” Journal of Manufacturing Systems 47 (2017): 141–152. doi:10.1016/j.jmsy.2018.04.018.
- Yu, W., T. Dillon, F. Mostafa, W. Rahayu, and Y. Liu. 2020. “A Global Manufacturing Big Data Ecosystem for Fault Detection in Predictive Maintenance.” IEEE Transactions on Industrial Informatics 16 (1): 183–192. doi:10.1109/TII.2019.2915846.
- Zadeh, L. A. 1988. “Fuzzy Logic.” Computer 21 (4): 83–93. doi:10.1109/2.53.
- Zhao, Y., H. Yihai, F. Liu, and X. Han. 2019. “Operational Risk Modeling Based on Operational Data Fusion for Multi-State Manufacturing Systems.“ Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability 234 (2): 407–421 . 10.1177/1748006X19876519.