Publications

@conference{Mansouri2013904,

title = {FDI for a cooling system by using graphical approaches},

author = {N. Mansouri and R. El Harabi and M. N. Abdelkrim},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84893267246\&doi=10.1109%2fCoDIT.2013.6689663\&partnerID=40\&md5=16e68d8b7986910691c0822297244b77},

doi = {10.1109/CoDIT.2013.6689663},

isbn = {9781424497966},

year  = {2013},

date = {2013-01-01},

journal = {2013 International Conference on Control, Decision and Information Technologies, CoDIT 2013},

pages = {904-910},

abstract = {In this paper, causal graphical models based approach for Fault Detection and Isolation (FDI) are adressed. Due to the structural and causal properties of a bond graph tool, a residual generation is based on analytical redundancy relations (ARRs) witch are obtained from the system behavior through different procedures in order to eliminate unknown variables (covering causal paths). Thus, the qualitative approach (temporal causal graph) is invoved to isolate faults by using the progressive monitoring for the refinement of the various fault hypotheses. The effectiveness of the proposed architecture is illustrated via simulation tests on a cooling system. © 2013 IEEE.},

note = {cited By 0},

keywords = {Analytical redundancy relations; Bond graph; Causal graph; Fault detection and isolation; Graphical approach; Proposed architectures; Qualitative approach; Residual generation, Cooling systems; Fault detection; Graph theory; Thermoelectric equipment, Information technology},

pubstate = {published},

tppubtype = {conference}

}

@conference{Hamdaoui201376,

title = {UIO based robust fault detection and estimation},

author = {R. Hamdaoui and S. Guesmi and R. El Harabi},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84893236835\&doi=10.1109%2fCoDIT.2013.6689523\&partnerID=40\&md5=4056eee76b1675a994a4d7fa06c61e2f},

doi = {10.1109/CoDIT.2013.6689523},

isbn = {9781424497966},

year  = {2013},

date = {2013-01-01},

journal = {2013 International Conference on Control, Decision and Information Technologies, CoDIT 2013},

pages = {76-81},

abstract = {This paper deals with the robust actuator fault diagnosis by using an Unknown Input Observer (UIO). The proposed UIO design guarantees robust residual generation through decoupling the disturbances effects from the fault ones. A Generalized Observer Scheme (GOS) based on a bank of unknown input observers is exploited for fault isolation. The fault estimation is, then, allowed by an algebraic transformation. A simulation case study is given to support the theoretical development. © 2013 IEEE.},

note = {cited By 4},

keywords = {Algebraic transformations; Fault estimation; Fault isolation; Generalized observer schemes; Robust fault detection; Robust residuals; Theoretical development; Unknown input observer, Electric fault currents; Fault detection, Information technology},

pubstate = {published},

tppubtype = {conference}

}

@conference{Soltani2013911,

title = {Robust fault detection for chemical processes},

author = {H. Soltani and S. Bel Hadj Ali Naoui and R. El Harabi and M. N. Abdelkrim},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84893235294\&doi=10.1109%2fCoDIT.2013.6689664\&partnerID=40\&md5=0780d35b66debd8c133b9833ad44ce1e},

doi = {10.1109/CoDIT.2013.6689664},

isbn = {9781424497966},

year  = {2013},

date = {2013-01-01},

journal = {2013 International Conference on Control, Decision and Information Technologies, CoDIT 2013},

pages = {911-916},

abstract = {This paper deals with the design of a robust fault detection filter for a two stage chemical reactor which is a complex process, susceptible to faults, that can minimize productivity and humans safety. This process is considered as a time-delay system with both unknown inputs and parameter uncertainties. Therefore, a multi-objective optimization technique is used to introduce a new performance index and formulate the robust fault detection filter design problem as a H∞ model-matching problem. Stability conditions are verified using linear matrix inequality (LMI). Adaptive thresholds are later developed in order to evaluate fault indicators. Simulation tests show the efficiency of the proposed approach. © 2013 IEEE.},

note = {cited By 5},

keywords = {Adaptive thershold; Adaptive thresholds; Multi-objective optimization techniques; Parameter uncertainty; Performance indices; Robust fault detection; Robust Fault Detection Filters; Uncertain time-delay system, Delay control systems; Linear matrix inequalities; Multiobjective optimization, Information technology},

pubstate = {published},

tppubtype = {conference}

}