참고문헌
- 현대모비스, www.mobis.co.kr
- T. Mei, and X. Ding, 2008. A Model-less Technique for the Fault Detection of Rail Vehicle Suspensions. Vehicle System Dynamics, 46, pp.277-287. https://doi.org/10.1080/00423110801939154
- J. Castillo, J. Cabrera, A. Guerra, and A. Simon, 2016. A Novel Electrohydraulic Brake System with Tire-Road Friction Estimation and Continuous Brake Pressure Control. IEEE Transactions on Industrial Electronics, 63(3), pp.1863-1875. https://doi.org/10.1109/TIE.2015.2494041
- Su, S.Y.H. and DuCasse, E., 1980. A hardware redundancy reconfiguration scheme for tolerating multiple module failures. IEEE Transactions on Computers, 29(3), pp.254-258.
- Sheaffer, J.W., Luebke, D.P. and Skadron, K., 2007, August. A hardware redundancy and recovery mechanism for reliable scientific computation on graphics processors. In Graphics Hardware (Vol. 2007, pp. 55-64).
- Anwar, S. and Chen, L., 2007. An analytical redundancy-based fault detection and isolation algorithm for a road-wheel control subsystem in a steer-by-wire system. IEEE Transactions on Vehicular Technology, 56(5), pp.2859-2869. https://doi.org/10.1109/TVT.2007.900515
- Huang, S., Tan, K.K. and Lee, T.H., 2012. Fault diagnosis and fault-tolerant control in linear drives using the Kalman filter. IEEE Transactions on Industrial Electronics, 59(11), pp.4285-4292. https://doi.org/10.1109/TIE.2012.2185011
- Hwang, W., Huh, K., Kim, M. and Jung, J., 2012. Sensor Fault Diagnosis for EMB using Parity Space Approach (No. 2012-01-1794). SAE Technical Paper.
- Ge, Z., Song, Z. and Gao, F., 2013. Review of recent research on data-based process monitoring. Industrial & Engineering Chemistry Research, 52(10), pp.3543-3562. https://doi.org/10.1021/ie302069q
- Kadlec, P., Grbic, R. and Gabrys, B., 2011. Review of adaptation mechanisms for data-driven soft sensors. Computers & chemical engineering, 35(1), pp.1-24. https://doi.org/10.1016/j.compchemeng.2010.07.034
- Nodland, D., Zargarzadeh, H. and Jagannathan, S., 2013. Neural network-based optimal adaptive output feedback control of a helicopter UAV. IEEE transactions on neural networks and learning systems, 24(7), pp.1061-1073. https://doi.org/10.1109/TNNLS.2013.2251747
- Widodo, A. and Yang, B.S., 2007. Support vector machine in machine condition monitoring and fault diagnosis. Mechanical systems and signal processing, 21(6), pp.2560-2574. https://doi.org/10.1016/j.ymssp.2006.12.007
- Kim, K., Li, Q., Park, C., Hwang, K., Kim, J. and Kim, H., 2011. A design of intelligent actuator logic using fuzzy control for EMB system. In Proceedings of the International MultiConference of Engineers and Computer Scientists (Vol. 2).
- Freeman, P., Pandita, R., Srivastava, N. and Balas, G.J., 2013. Model-based and data-driven fault detection performance for a small UAV. IEEE/ASME Transactions on mechatronics, 18(4), pp.1300-1309. https://doi.org/10.1109/TMECH.2013.2258678
- Cheng, Y., Wang, R. and Xu, M., 2016. A Combined Model-Based and Intelligent Method for Small Fault Detection and Isolation of Actuators. IEEE Transactions on Industrial Electronics, 63(4), pp.2403-2413. https://doi.org/10.1109/TIE.2015.2499722
- Rong, H., Lv, J., Peng, C., Zou, L., Ma, Z., Chen, Y. and Zhu, Y., 2016. Dynamic Regulation of the Weights of Request Based on the Kalman Filter and an Artificial Neural Network. IEEE Sensors Journal, 16(23), pp.8597-8607. https://doi.org/10.1109/JSEN.2016.2611610
- Rubaai, A. and Young, P., 2016. Hardware/ Software Implementation of Fuzzy-Neural-Network Self-Learning Control Methods for Brushless DC Motor Drives. IEEE Transactions on Industry Applications, 52(1), pp.414-424. https://doi.org/10.1109/TIA.2015.2468191
- Zhang, Y. and Jiang, J., 2008. Bibliographical review on reconfigurable fault-tolerant control systems. Annual reviews in control, 32(2), pp.229-252. https://doi.org/10.1016/j.arcontrol.2008.03.008
- Ki, Y.H., Lee, K.J., Cheon, J.S. and Ahn, H.S., 2013. Design and implementation of a new clamping force estimator in electro-mechanical brake systems. International Journal of Automotive Technology, 14(5), pp.739-745. https://doi.org/10.1007/s12239-013-0081-4
- Lee, Y.O., Son, Y.S. and Chung, C.C., 2013. Clamping force control for an electric parking brake system: switched system approach. IEEE transactions on vehicular technology, 62(7), pp.2937-2948. https://doi.org/10.1109/TVT.2013.2251029
- Jo, C., Hwang, S. and Kim, H., 2010. Clampingforce control for electromechanical brake. IEEE Transactions on Vehicular Technology, 59(7), pp.3205-3212. https://doi.org/10.1109/TVT.2010.2043696
- D. H. Ban, S. H. Jin, and J. S. Hong, "The Design and Implementation of a Fault diagnosis on a Motor Control System," Conference of KSAE 2014, pp.1081-1086
- D. H. Ban, J. S. Hong, and S. H. Lee, "Diagnostic of the inverter / the motor using DC current," Conference of ICROS 2016, pp. 135-136
- D. H. Ban, J. S. Hong, and S. H. Lee, "Rotor Position Estimation of Permanent Magnet Synchronous Motors Using Low-Resolution Sensors," International Journal of Fuzzy Systems, vol. 19, no. 1, pp. 78-85
- J. Zambada, and D. Deb, "Sensorless Field Oriented Control of a PMSM," AN1078, Microchip Technology Inc.