Browse > Article
http://dx.doi.org/10.7471/ikeee.2021.25.3.548

An Overview of Fault Diagnosis and Fault Tolerant Control Technologies for Industrial Systems  

Bae, Junhyung (School of Electronic and Electrical Engineering, Daegu Catholic University)
Publication Information
Journal of IKEEE / v.25, no.3, 2021 , pp. 548-555 More about this Journal
Abstract
This paper outlines the basic concepts, approaches and research trends of fault diagnosis and fault tolerant control applied to industrial processes, facilities, and motor drives. The main role of fault diagnosis for industrial processes is to create effective indicators to determine the defect status of the process and then take appropriate measures against failures or hazadous accidents. The technologies of fault detection and diagnosis have been developed to determine whether a process has a trend or pattern, or whether a particular process variable is functioning normally. Firstly, data-driven based and model-based techniques were described. Secondly, fault detection and diagnosis techniques for industrial processes are described. Thirdly, passive and active fault tolerant control techniques are considered. Finally, major faults occurring in AC motor drives were listed, described their characteristics and fault diagnosis and fault tolerant control techniques are outlined for this purpose.
Keywords
Industrial Processes; AC Motor Drives; Fault Diagnosis; Fault Tolerant Control; Model based Method; Data-driven based Method;
Citations & Related Records
연도 인용수 순위
  • Reference
1 S. Ganesan, P. W. David, P. K. Balachandran, and D. Samithas, "Intelligent Starting CurrentBased Fault Identification of an Induction Motor Operating under Various Power Quality Issues," Energies, Vol.14, no.2, pp.304, 2021. DOI: 10.3390/en14020304   DOI
2 S. K. Sul, Control of Electric Machine Drive Systems, Wiley-IEEE Press, 2011.
3 K. Urbanski, and D. Janiszewski, "Sensorless Control of the Permanent Magnet Synchronous Motor," Sensors, Vol.19, No.16, pp.3546, 2019. DOI: 10.1109/VPPC.2008.4677421   DOI
4 F. M. Zaihidee, S. Mekhilef, and M. Mubin, "Robust Speed Control of PMSM Using Sliding Mode Control-A Review," Energies, Vol.12, No.9, pp.669, 2019. DOI: 10.3390/en12091669   DOI
5 M. Zhixun, S. Saeid, K. R. "FPGA Implementation of Model Predictive Control with Constant Switching Frequency for PMSM Drives," IEEE Trans. on Industrial Informatics, Vol.10, No.4, pp.2055-2063, 2014. DOI: 10.1109/TII.2014.2344432   DOI
6 D. Gonzalez-Jimenez, J. del-Olmo, J. Poza, F. Garramiola, and P. Madina, "Data-Driven Fault Diagnosis for Electric Drives: A Review," Sensors, Vol.21, No.12, pp.4024, 2021. DOI: 10.3390/s21124024   DOI
7 R. Isermann, Fault-Diagnosis Applications: Model-based condition monitoring: Actuators, drives, machinery, plants, sensors and faulttolerant systems, Springer-Verlag, 2011.
8 R. Isermann, Fault-Diagnosis Systems: An Introduction from Fault Detection to Fault Tolerance, Springer-Verlag, 2006.
9 A. D. Pouliezos, and G. S. Stavrakakis, Real Time Fault Monitoring of Industrial Processes, Springer, 1994.
10 C. T. Kowalski, and T. Orlowska-Kowalska, "Neural Networks Application for Induction Motor Faults Diagnosis," Mathematics and Computers in Simulation, Vol.63, no.3-5, pp.435-448, 2003. DOI: 10.1016/S0378-4754(03)00087-9   DOI
11 D. An, N. H. Kim, and J. H. Choi, "Statistical Aspects in Neural Network for the Purpose of Prognostics," Journal of Mechanical Science and Technology, Vol.29, no.4, pp.1369-1375, 2015. DOI: 10.1007/s12206-015-0306-8   DOI
12 D. H. Kum, D. H. Bahn, S. H. Kwon, S. H. Jin, S. H. Lee, "Design of Fault Detection and Countermeasures for Automotive EMB System," The Journal of The Korean Institute of Communication Sciences, Vol.34, no.5, pp.19-26, 2017.
13 K. S. Lee, "Concepts and Trends of Fault Detection, Diagnosis, and Fault Tolerant Control," KIEE Magazine, Vol.48, No.4, pp.4-8, 1999.
14 B. A. Welchko, T. A. Lipo, T. M. Jahns, and S. E. Schulz, "Fault Tolerant Three-phase AC Motor Drive Topologies: A Comparison of Features, Cost, and Limitations," IEEE Int. Electric Machines and Drives Conference, 2003. DOI: 10.1109/TPEL.2004.830074   DOI
15 M. Stephens, C. Manzie, and M. Good, "Model Predictive Control for Reference Tracking on an Industrial Machine Tool Servo Drive," IEEE Trans. on Industrial Informatics, Vol.9, no.2, pp.808-816, 2013. DOI: 10.1109/TII.2012.2223222   DOI
16 Y. J. Park, S. K. S. Fan, and C. Y. Hsu, "A Review on Fault Detection and Process Diagnostics in Industrial Processes," Processes, Vol.8, No.9, pp.1123, 2020. DOI: 10.3390/pr8091123   DOI
17 A. Merabet, "Advanced Control for Electric Drives: Current Challenges and Future Perspectives," Electronics, Vol.9, no.11, pp.1762, 2020. DOI: 10.3390/electronics9111762   DOI