{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,4]],"date-time":"2026-05-04T20:37:25Z","timestamp":1777927045010,"version":"3.51.4"},"reference-count":51,"publisher":"SAGE Publications","issue":"2","license":[{"start":{"date-parts":[[2015,12,23]],"date-time":"2015-12-23T00:00:00Z","timestamp":1450828800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering"],"published-print":{"date-parts":[[2016,2]]},"abstract":"<jats:p>The article deals with the robust fault detection and isolation based on linear fractional transformation hybrid bond graph. The main objective is to improve the robustness of fault detection step in the presence of parametric uncertainties in hybrid models in order to minimize the false alarms. The scientific interest of the proposed method is the use of only one tool \u2013 the bond graph not only for dynamic modelling of uncertain hybrid system but also for generation of adaptive thresholds needed in residual evaluation step. For this task, hybrid bond graph uncertain model approach with controlled junctions in linear fractional transformation form (allowing to represent graphically the parametric uncertainties) is first proposed to represent all the modes of the hybrid system. Second, based on causal and structural properties of the hybrid bond graph, analytical redundancy relations (with nominal and uncertain part) valid for all the modes are then derived systematically from the diagnostic hybrid bond graph. An application to a hydraulic system is used to illustrate this method.<\/jats:p>","DOI":"10.1177\/0959651815616026","type":"journal-article","created":{"date-parts":[[2015,12,23]],"date-time":"2015-12-23T20:48:26Z","timestamp":1450903706000},"page":"145-163","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":6,"title":["Hybrid bond graph model based for robust fault detection and isolation"],"prefix":"10.1177","volume":"230","author":[{"given":"Mohamed Ilyas","family":"Rahal","sequence":"first","affiliation":[{"name":"Automatic Laboratory of Tlemcen (LAT), Department of Electrical and Electronic Engineering, University of Abou Bekr Belka\u00efd, Post Box 119, 13000 Chetouane, Tlemcen, Algeria"},{"name":"CRIStAL Laboratory, UMR CNRS 9189, University Lille 1-Science and Technology, Cit\u00e9 Scientifique, 59650 Villeneuve d\u2019Ascq, 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