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Moohialdin, Ammar, S. M., Hadidi, & Laith, A. (2017). Effect of failure type on downtime duration for a manufacturing facility. Journal of Performance of Constructed Facilities.Search in Google Scholar
Deng, Y., Wang, Q., Ma, J., Oh, J. T., & Chen, Z. (2023). The combined impact of voids and thermal aging on the mechanical reliability of epoxy resin evaluated by statistical analysis. Polymer Degradation and Stability, 215.Search in Google Scholar
Yang, Y., Wang, Y., Lu, H., Wang, Z., Xie, D., & Zhao, Y., et al. (2023). Significant mechanical softening of copper under coupled electric and magnetic stimuli. Scripta materialia.Search in Google Scholar
Li, W. (2022). Monitoring and predictive maintenance of centrifugal pumps based on smart sensors. Sensors, 22.Search in Google Scholar
Hu, J., Wang, T., & Wang, Z. (2021). Transient stability margin assessment of ac/dc hybrid system with commutation failure involved. International journal of electrical power and energy systems(Oct.), 131.Search in Google Scholar
Shuai, L., Yanhui, W., & Limin, J. (2018). System reliability assessment based on failure propagation processes. Complexity, 2018, 1-19.Search in Google Scholar
Zhang, G., & Wang, Y. (2018). Reliability modeling of electromechanical system with meta-action chain methodology. Mathematical Problems in Engineering, 2018(PT.5), 1-14.Search in Google Scholar
Wang, J., Wang, R., & Han, X. (2023). Degradation modeling and reliability estimation for competing risks considering system resistance. Computers & Industrial Engineering, 176, 108950-.Search in Google Scholar
Bermeo-Ayerbe, M. A., Cocquempot, V., Ocampo-Martinez, C., & Diaz-Rozo, J. (2023). Remaining useful life estimation of ball-bearings based on motor current signature analysis. Reliability engineering & system safety.Search in Google Scholar
Liang, Y., Gao, Z., Gao, J., Wang, R., & Cheng, Y. (2020). A new method for multivariable nonlinear coupling relations analysis in complex electromechanical system. Applied Soft Computing, 94, 106457.Search in Google Scholar
Cruz, A. G. D. A., Gomes, R. D., Belo, F. A., & Filho, A. C. L. (2017). A hybrid system based on fuzzy logic to failure diagnosis in induction motors. IEEE Latin America Transactions, 15(8), 1480-1489.Search in Google Scholar
Wang, Y. C. (2018). Simplified monitoring and warning system against rainfall-induced shallow slope failures. Canadian Geotechnical Journal, 55(10).Search in Google Scholar
Arellano-Espitia, F., Delgado-Prieto, M., Martinez-Viol, V., Saucedo-Dorantes, J. J., & Osornio-Rios, R. A. (2020). Deep-learning-based methodology for fault diagnosis in electromechanical systems. Sensors, 20(14), 3949.Search in Google Scholar
Ming, Y., Lulu, S., Wuhua, J., & Shuanglong, Y. (2018). Fault diagnosis for electromechanical system via extended analytical redundancy relations. IEEE Transactions on Industrial Informatics, PP(12), 1-1.Search in Google Scholar
Liu, L. J. (2019). Ontology-based fault diagnosis and maintenance process generation of electromechanical system. International Journal of Performability Engineering, 15(2).Search in Google Scholar
Cao, Y., Lyu, Y., & Wang, X. (2020). Fault diagnosis reasoning algorithm for electromechanical actuator based on an improved hybrid tfpg model. Electronics(12).Search in Google Scholar
Pi, S., Liu, Q., & Liu, Q. (2018). A novel dynamic contour error estimation and control in high-speed cnc. International Journal of Advanced Manufacturing Technology.Search in Google Scholar
Esteban, E., Salgado, O., Iturrospe, A., & Isasa, I. (2017). Design methodology of a reduced-scale test bench for fault detection and diagnosis. Mechatronics, 47, 14-23.Search in Google Scholar