Journal of Systems Engineering and Electronics ›› 2020, Vol. 31 ›› Issue (3): 634-646.doi: 10.23919/JSEE.2020.000039
• Reliability • Previous Articles
Lixiong LIN1,*(
), Qing WANG1(), Bingwei HE1(), Xiafu PENG2()
Received:2019-07-12
Online:2020-06-30
Published:2020-06-30
Contact:
Lixiong LIN
E-mail:linlixiong@126.com;wangqing_wangqing@163.com;mebwhe@fzu.edu.cn;xfpeng@xmu.edu.cn
About author:LIN Lixiong was born in 1985. He received his B.S. degree in electrical engineering and automation from Huaqiao University, China, in 2008, M.S. degree in detection technology from Xiamen University, China, in 2011, and Ph.D. degree in control theory and control engineering from Xiamen University, China, in 2016. He is currently an assistant professor with the School of Mechanical Engineering and Automation, Fuzhou University. His research interests include fault detection, multi-sensor fusion, robotic control system, and autonomous navigation. E-mail: Supported by:Lixiong LIN, Qing WANG, Bingwei HE, Xiafu PENG. Evaluation of fault diagnosability for nonlinear uncertain systems with multiple faults occurring simultaneously[J]. Journal of Systems Engineering and Electronics, 2020, 31(3): 634-646.
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Fig 1
Outputs $\boldsymbol{h_1 (x(t))}$, $\boldsymbol{\widehat {h}_1 (x(t))}$ and their errors when $\boldsymbol{w_1(t) = 0.2, w_2(t) = 0}$"
Fig 2
Outputs $\boldsymbol{h_2 (x(t))}$, $\boldsymbol{\widehat {h}_2 (x(t))}$ and their errors when $\boldsymbol{w_1(t) = 0.2, w_2(t) = 0}$"
Fig 3
Outputs $\boldsymbol{h_1 (x(t))}$, $\boldsymbol{\widehat {h}_1 (x(t))}$ and their errors when $\boldsymbol{w_1(t) = 0, w_2(t) = 0.2}$"
Fig 4
Outputs $\boldsymbol{h_2 (x(t))}$, $\boldsymbol{\widehat {h}_2 (x(t))}$ and their errors when $\boldsymbol{w_1(t) = 0, w_2(t) = 0.2}$"
Fig 5
Outputs $\boldsymbol{h_1 (x(t))}$, $\boldsymbol{\widehat {h}_1 (x(t))}$ and their errors when $\boldsymbol{w_1(t) = 0.2, w_2(t) = 0.2}$"
Fig 6
Outputs $\boldsymbol{h_2 (x(t))}$, $\boldsymbol{\widehat {h}_2 (x(t))}$ and their errors when $\boldsymbol{w_1(t) = 0.2, w_2(t) = 0.2}$"
Fig 7
Partial feedback linearization based on the controller (53)"
Fig 8
Outputs $\boldsymbol{h_1 (x(t))}$, $\boldsymbol{\widehat {h}_1 (x(t))}$ and their errors when $\boldsymbol{w_1(t) = 200, w_2(t) = 0}$"
Fig 9
Outputs $\boldsymbol{h_2 (x(t))}$, $\boldsymbol{\widehat {h}_2 (x(t))}$ and their errors when $\boldsymbol{w_1(t) = 200, w_2(t) = 0}$"
Fig 10
Outputs $\boldsymbol{h_1 (x(t))}$, $\boldsymbol{\widehat {h}_1 (x(t))}$ and their errors when $\boldsymbol{w_1(t) = 0, w_2(t) = 200}$"
Fig 11
Outputs $\boldsymbol{h_2 (x(t))}$, $\boldsymbol{\widehat {h}_2 (x(t))}$ and their errors when $\boldsymbol{w_1(t) = 0, w_2(t) = 200}$"
Fig 12
Outputs $\boldsymbol{h_1 (x(t))}$, $\boldsymbol{\widehat {h}_1 (x(t))}$ and their errors when $\boldsymbol{w_1(t) = 200, w_2(t) = 200}$"
Fig 13
Outputs $\boldsymbol{h_2 (x(t))}$, $\boldsymbol{\widehat {h}_2 (x(t))}$ and their errors when $\boldsymbol{w_1(t) = 200, w_2(t) = 200}$"
| 1 |
KELIRIS C, POLYCARPOU M, PARISINI T. An integrated learning and filtering approach for fault diagnosis of a class of nonlinear dynamical systems. IEEE Trans. on Neural Networks and Learning Systems, 2017, 28 (4): 988- 1004.
doi: 10.1109/TNNLS.2015.2504418 |
| 2 |
GAO Z, DING S X, CECATI C. Real-time fault diagnosis and fault-tolerant control. IEEE Trans. on Industrial Electronics, 2015, 62 (6): 3752- 3756.
doi: 10.1109/TIE.2015.2417511 |
| 3 | JMAL A, NAIFAR O, BEN MAKHLOUF A, et al. Sensor fault estimation for fractional-order descriptor one-sided Lipschitz systems. Nonlinear Dynamics, 2017, 91 (3): 1713- 1722. |
| 4 |
BISWAL M, BRAHMA S, CAO H. Supervisory protection and automated event diagnosis using PMU data. IEEE Trans. on Power Delivery, 2016, 31 (4): 1855- 1863.
doi: 10.1109/TPWRD.2016.2520958 |
| 5 |
WANG T Z, QI J, XU H, et al. Fault diagnosis method based on FFT-RPCA-SVM for cascaded-multilevel inverter. ISA Transactions, 2016, 60, 156- 163.
doi: 10.1016/j.isatra.2015.11.018 |
| 6 | YIN S, ZHU X. Intelligent particle filter and its application on fault detection of nonlinear system. IEEE Trans. on Industrial Electronics, 2015, 62 (6): 3852- 3861. |
| 7 |
PATTON R J, CHEN J. Observer-based fault detection and isolation: robustness and applications. Control Engineering Practice, 1997, 5 (5): 671- 682.
doi: 10.1016/S0967-0661(97)00049-X |
| 8 | GOBBO D D, NAPOLITANO M R. Issues in fault detectability for dynamic systems. Proc. of the American Control Conference, 2000, 3203- 3207. |
| 9 |
KOSCIELNY J M, SYFERT M, ROSTEK K, et al. Fault isolability with different forms of the faults-symptoms relation. International Journal of Applied Mathematics and Computer Science, 2016, 26 (4): 815- 826.
doi: 10.1515/amcs-2016-0058 |
| 10 |
ERIKSSON D, FRISK E, KRYSANDER M. A method for quantitative fault diagnosability analysis of stochastic linear descriptor models. Automatica, 2013, 49 (6): 1591- 1600.
doi: 10.1016/j.automatica.2013.02.045 |
| 11 | LI W B, WANG D Y, LIU C R. Quantitative evaluation of actual fault diagnosability for dynamic systems. Acta Automatica Sinica, 2015, 41 (3): 497- 507. |
| 12 | LEAL R, AGUILAR J, TRAVE-MASSUYES L, et al. An approach for diagnosability analysis and sensor placement for continuous processes based on evolutionary algorithms and analytical redundancy. Applied Mathematical Sciences, 2015, 9 (43): 2125- 2146. |
| 13 | LIU J, HUA Y, LI Q, et al. Fault diagnosability qualitative analysis of spacecraft based on temporal fault signature matrix. Proc. of the IEEE Chinese Guidance, Navigation and Control Conference, 2016, 1496- 1500. |
| 14 |
TRAVE-MASSUYES L, ESCOBET T, OLIVE X. Diagnosability analysis based on component-supported analytical redundancy relations. IEEE Trans. on Systems, Man and Cybernetics-Part A: Systems and Humans, 2006, 36 (6): 1146- 1160.
doi: 10.1109/TSMCA.2006.878984 |
| 15 |
FRISK E, KRYSANDER M, SLUND J. Sensor placement for fault isolation in linear differential-algebraic systems. Automatica, 2009, 45 (2): 364- 371.
doi: 10.1016/j.automatica.2008.08.013 |
| 16 |
CUI Y Q, SHI J Y, WANG Z L. System-level operational diagnosability analysis in quasi real-time fault diagnosis: the probabilistic approach. Journal of Process Control, 2014, 24 (9): 1444- 1453.
doi: 10.1016/j.jprocont.2014.06.014 |
| 17 | PENG X F, LIN L X, ZHONG X Y, et al. Methods for fault diagnosability analysis of a class of affine nonlinear systems. Mathematical Problems in Engineering, 2015, 409184. |
| 18 |
ZHANG B, JIA Y M, MATSUNO F, et al. Task-space synchronization of networked mechanical systems with uncertain parameters and communication delays. IEEE Trans. on Cybernetics, 2017, 47 (8): 2288- 2298.
doi: 10.1109/TCYB.2016.2597446 |
| 19 |
PARK S, PARK Y, PARK Y S. Degree of fault isolability and active fault diagnosis for redundantly actuated vehicle system. International Journal of Automotive Technology, 2016, 17 (6): 1045- 1053.
doi: 10.1007/s12239-016-0102-1 |
| 20 | XING Z R, XIA Y Q. Evaluation and design of actuator fault diagnosability for nonlinear affine uncertain systems with unknown indeterminate inputs. International Journal of Adaptive Control and Signal Processing, 2016, 31 (1): 122- 137. |
| 21 |
NGUYEN D T, DUONG Q B, ZAMAI E, et al. Fault diagnosis for the complex manufacturing system. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 2016, 230 (2): 178- 194.
doi: 10.1177/1748006X15623089 |
| 22 |
DING Y, KIM P, CEGLAREK D, et al. Optimal sensor distribution for variation diagnosis in multistation assembly processes. IEEE Trans. on Robotics and Automation, 2003, 19 (4): 543- 556.
doi: 10.1109/TRA.2003.814516 |
| 23 |
WANI M F, GANDHI O P. Diagnosability evaluation of systems using bipartite graph and matrix approach. Artificial Intelligence for Engineering Design Analysis and Manufacturing, 2000, 14 (3): 193- 206.
doi: 10.1017/S0890060400143021 |
| 24 |
LIU Z T, AHMED Q, ZHANG J Y, et al. Structural analysis based sensors fault detection and isolation of cylindrical lithium-ion batteries in automotive applications. Control Engineering Practice, 2016, 52, 46- 58.
doi: 10.1016/j.conengprac.2016.03.015 |
| 25 | LIN L X, LIU C R, ZHONG X Y, et al. Fault diagnosis for nonlinear systems based on differential geometry approach. Journal of Huanzhong University of Science and Technology (Natural Science Edition), 2015, 43 (9): 24- 28. |
| 26 | RICCARDO M, PATRIZIO T. Nonlinear control design: geometric, adaptive and robust. Hertfordshire: Prentice Hall International (UK) Ltd., 1996. |
| 27 | ISIDORI A. Nonlinear control systems. 3rd ed. New York: Springer-Verlag World Publishing Corp., 1999. |
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