Publications

@conference{Lamouchi2022178b,

title = {Interval Observers Fault Detection for Linear Parameter Varying Systems with H- Fault Sensitivity},

author = {Rihab Lamouchi and Tarek Raissi and Messaoud Amairi and Mohamed Aoun},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85143817218\&doi=10.1109%2fSSD54932.2022.9955878\&partnerID=40\&md5=861234ea09d7f66ce9fcabebfd66668e},

doi = {10.1109/SSD54932.2022.9955878},

year  = {2022},

date = {2022-01-01},

journal = {2022 19th IEEE International Multi-Conference on Systems, Signals and Devices, SSD 2022},

pages = {178 \textendash 183},

abstract = {A fault detection (FD) method for a class of discrete-time Linear Parameter Varying (LPV) systems with sensor faults and measurement noise is proposed in this paper. Then, an interval FD observer is studied using Linfty performance to minimise the uncertainties effects and to improve the estimation accuracy. Furthermore, mathcalH- performance is considered in order to calculate the sensitivity of the residual to sensor faults and a FD decision is set to indicate their presence. The validity of the proposed methodology is demonstrated using a numerical example. © 2022 IEEE.},

note = {Cited by: 1},

keywords = {Detection methods, Fault detection, Fault sensitivity, Faults detection, Finite difference method, H- fault sensitivity, Interval observers, Linear parameter varying systems, Linear systems, L∞ performance, Sensor fault detection, Sensors faults, ∞performance},

pubstate = {published},

tppubtype = {conference}

}

@conference{Aoun2011f,

title = {On the fractional systems' fault detection: A comparison between fractional and rational residual sensitivity},

author = {Mohamed Aoun and Asma Aribi and Slaheddine Najar and Mohamed Naceur Abdelkrim},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-79957903547\&doi=10.1109%2fSSD.2011.5767424\&partnerID=40\&md5=2e22d74f672e2ae986db94c4dbcd72e6},

doi = {10.1109/SSD.2011.5767424},

year  = {2011},

date = {2011-01-01},

journal = {International Multi-Conference on Systems, Signals and Devices, SSD'11 - Summary Proceedings},

abstract = {This paper shows the interest of extending the dynamic parity space fault detection method for fractional systems. Accordingly, a comparison between fractional and rational residual generators using the later method is presented. An analysis of fractional and rational residuals' sensitivity shows the merits of the fractional residual generators. A numerical example illustrating the advantage of using fractional residual generators for fractional systems diagnosis is given. © 2011 IEEE.},

note = {Cited by: 8},

keywords = {Detection methods, Fault detection, fault diagnosis, Fractional derivatives, Fractional systems, Numerical example, Parity spaces, Residual generator, residual sensitivity, Signal detection},

pubstate = {published},

tppubtype = {conference}

}