{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T04:28:54Z","timestamp":1760243334659,"version":"build-2065373602"},"reference-count":28,"publisher":"MDPI AG","issue":"10","license":[{"start":{"date-parts":[[2014,10,15]],"date-time":"2014-10-15T00:00:00Z","timestamp":1413331200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>A new model-based sensor fault diagnosis (FD) scheme, using an equivalent model, is developed for a kind of Multiple Inputs Multiple Outputs (MIMO) nonlinear system which fulfills the Lipschitz condition. The equivalent model, which is a bank of one-dimensional linear state equations with the bounded model uncertainty, can take the place of a plant\u2019s exact nonlinear model in the case of sensor FD. This scheme shows a new perspective whereby, by using the equivalent model, it doesn\u2019t have to study the nonlinear internal structure character or get the exact model. The influence of the model uncertainty on the residuals is explained in this paper. A method, called pretreatment, is utilized to minimize the model uncertainty. The eigenstructure assignment method with assistant state is employed to solve the problem of perfect decoupling against the model uncertainty, disturbance, system faults, the relevant actuator faults, or even the case of no input from the relevant actuator. The realization of the proposed scheme is given by an algorithm according to a single sensor FD, and verified by a simulation example. Depending on the above, a sensor fault monitoring system is established by the sensor network and diagnosis logic, then the effectiveness is testified by a simulation.<\/jats:p>","DOI":"10.3390\/s141019138","type":"journal-article","created":{"date-parts":[[2014,10,15]],"date-time":"2014-10-15T10:49:43Z","timestamp":1413370183000},"page":"19138-19161","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Robust Model-Based Sensor Fault Monitoring System for Nonlinear Systems in Sensor Networks"],"prefix":"10.3390","volume":"14","author":[{"given":"Dejun","family":"Wang","sequence":"first","affiliation":[{"name":"Department of Control Science and Engineering, School of Communication Engineering, Jilin University, Changchun 130025, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shiyao","family":"Song","sequence":"additional","affiliation":[{"name":"Department of Control Science and Engineering, School of Communication Engineering, Jilin University, Changchun 130025, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2014,10,15]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"636","DOI":"10.1109\/TCST.2009.2026285","article-title":"A survey of fault detection, isolation, and reconfiguration methods","volume":"18","author":"Hwang","year":"2010","journal-title":"IEEE Trans. Control Syst. Technol."},{"key":"ref_2","unstructured":"Beard, R.V. (1971). Ph.D. Thesis, Department of Aeronautics and Astronautics."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"459","DOI":"10.1016\/0005-1098(90)90018-D","article-title":"Fault diagnosis in dynamic systems using analytical and knowledge-based redundancy\u2014A survey and some new results","volume":"26","author":"Frank","year":"1990","journal-title":"Automatica"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"6418","DOI":"10.1109\/TIE.2014.2301773","article-title":"A review on basic data-driven approaches for industrial process monitoring","volume":"61","author":"Yin","year":"2014","journal-title":"IEEE Trans. Ind. Electron."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"612","DOI":"10.3390\/s110100612","article-title":"Simplified interval observer scheme: A new approach for fault diagnosis in instruments","volume":"11","year":"2011","journal-title":"Sensors"},{"key":"ref_6","doi-asserted-by":"crossref","unstructured":"Zhang, P., and Huang, J.Q. (2008, January 1). Aero engine performance monitoring and fault diagnosis based on transient measurements. Piscataway, NJ, USA.","DOI":"10.1109\/ISSCAA.2008.4776405"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"510","DOI":"10.1109\/TCST.2009.2019750","article-title":"Robust fault diagnosis based on nonlinear model of hydraulic gauge control system on rolling mill","volume":"18","author":"Dong","year":"2010","journal-title":"IEEE Trans. Control Syst. Technol."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"494","DOI":"10.1109\/TFUZZ.2013.2260757","article-title":"Cooperative Adaptive Fuzzy Tracking Control for Networked Unknown Nonlinear Multiagent Systems with Time-Varying Actuator Faults","volume":"22","author":"Shen","year":"2014","journal-title":"IEEE Trans. Fuzzy Syst."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"11061","DOI":"10.3390\/s120811061","article-title":"Fault Diagnostics for Turbo-Shaft Engine Sensors Based on a Simplified On-Board Model","volume":"12","author":"Lu","year":"2012","journal-title":"Sensors"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"2005","DOI":"10.3390\/s120202005","article-title":"A method based on multi-sensor data fusion for faultdetection of planetary gearboxes","volume":"12","author":"Lei","year":"2012","journal-title":"Sensors"},{"key":"ref_11","unstructured":"Arndt, M., Ding, E.L., and Massel, T. (July, January 30). Observer based diagnosis of roll rate sensor. Boston, MA, USA."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"854","DOI":"10.1109\/TCST.2006.879976","article-title":"A vehicle health monitoring system evaluated experimentally on a passenger vehicle","volume":"14","author":"Ng","year":"2006","journal-title":"IEEE Trans. Control Syst. Technol."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"83","DOI":"10.4271\/2013-01-0175","article-title":"Optimal Sensor Configuration and Fault-Tolerant Estimation of Vehicle States","volume":"6","author":"Zarringhalam","year":"2013","journal-title":"SAE Int. J. Passeng. Cars Electron. Electr. Syst."},{"key":"ref_14","unstructured":"Ding, S.X. (2008). Model-Based Fault Diagnosis Techniques: Design Schemes, Algorithms, and Tools, Springer."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"1242","DOI":"10.1016\/j.automatica.2013.01.030","article-title":"Sensor fault estimation and tolerant control for It\u00f4 stochastic systems with a descrip-tor sliding mode approach","volume":"49","author":"Liu","year":"2013","journal-title":"Automatica"},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"629","DOI":"10.1080\/00207721.2010.517867","article-title":"Sensor fault estimation and compensation for time-delay switched systems","volume":"43","author":"Du","year":"2012","journal-title":"Int. J. Syst. Sci."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"274","DOI":"10.1109\/TFUZZ.2013.2252355","article-title":"Adaptive Fault Diagnosis for T\u2013S Fuzzy Systems with Sensor Faults and System Performance Analysis","volume":"22","author":"Shen","year":"2014","journal-title":"IEEE Trans. Fuzzy Syst."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"298","DOI":"10.1016\/j.mechatronics.2013.11.009","article-title":"Data-driven design of robust fault detection system for wind turbines","volume":"24","author":"Yin","year":"2014","journal-title":"Mechatronics"},{"key":"ref_19","doi-asserted-by":"crossref","unstructured":"Douglas, R.K., Chen, R.H., and Speyer, J.L. (1997, January 6). Model input reduction. Albuquerque, NM, USA.","DOI":"10.1109\/ACC.1997.609612"},{"key":"ref_20","first-page":"633","article-title":"LMI-based fault detection fuzzy observer design with multiple performance constraints for a class of non-linear systems: comparative study","volume":"8","author":"Zhang","year":"2012","journal-title":"Int. J. Innov. Comput. Inf. Control"},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"825","DOI":"10.3969\/j.issn.1004-4132.2011.05.015","article-title":"H\u221e-based fault detection for nonlinear networked systems with random packet dropout and probabilistic interval delay","volume":"22","author":"Zhang","year":"2011","journal-title":"Syst. Eng. Electron. J."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"377","DOI":"10.1016\/S0005-1098(02)00245-5","article-title":"Optimal stochastic fault detection filter","volume":"39","author":"Chen","year":"2003","journal-title":"Automatica"},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"1491","DOI":"10.2514\/3.11413","article-title":"Robust fault detection of jet engine sensor systems using eigenstructure assignment","volume":"15","author":"Patton","year":"1992","journal-title":"J. Guid. Control Dyn."},{"key":"ref_24","unstructured":"Patton, R., Frank, P., and Clark, R. (1989). Fault Diagnosis in Dynamic Systems: Theory and Applications, Prentice-Hall Int."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"1193","DOI":"10.1002\/1099-1239(20001215)10:14<1193::AID-RNC523>3.0.CO;2-R","article-title":"On eigenstructure assignment for robust fault diagnosis","volume":"10","author":"Patton","year":"2000","journal-title":"Int. J. Robust Nonlinear Control"},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"847","DOI":"10.1016\/j.conengprac.2003.10.009","article-title":"Model-based diagnosis of sensor faults for ESP systems","volume":"12","author":"Ding","year":"2004","journal-title":"Control Eng. Pract."},{"key":"ref_27","unstructured":"Zhao, X., Luo, Q., and Han, B. (2008, January 25\u201327). Survey on robot multi-sensor information fusion technology. Chongqing, China."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"2005","DOI":"10.3390\/s120202005","article-title":"A Method Based on Multi-Sensor Data Fusion for Fault Detection of Planetary Gearboxes","volume":"12","author":"Lei","year":"2012","journal-title":"Sensors"}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/14\/10\/19138\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T21:16:57Z","timestamp":1760217417000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/14\/10\/19138"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014,10,15]]},"references-count":28,"journal-issue":{"issue":"10","published-online":{"date-parts":[[2014,10]]}},"alternative-id":["s141019138"],"URL":"https:\/\/doi.org\/10.3390\/s141019138","relation":{},"ISSN":["1424-8220"],"issn-type":[{"type":"electronic","value":"1424-8220"}],"subject":[],"published":{"date-parts":[[2014,10,15]]}}}