Skip to Main content Skip to Navigation
Journal articles

Sensor fault detection and isolation for single, multiples and simultaneous faults: Application to a waste water treatment process

Dimitrios Fragkoulis 1 Gilles Roux 1 Boutaib Dahhou 1
1 LAAS-DISCO - Équipe DIagnostic, Supervision et COnduite
LAAS - Laboratoire d'analyse et d'architecture des systèmes
Abstract : In this paper, sensor fault detection, isolation and identification model-based approach is designed. We introduce a new state variable so that an augmented system can be constructed to treat sensor faults as actuator faults. The approach uses the model of the system and a bank of adaptive observers to generate residuals. Structured residuals are defined in such way to isolate the faulty sensor after detecting the fault occurrence. The advantage of this method is that we can treat single, multiple and simultaneous sensor faults. In this study, we consider that only abrupt faults in the system sensor can occur. The proposed strategy is validated by simulation results of a nonlinear model of a waste water treatment process.
Complete list of metadata

https://hal.laas.fr/hal-02957540
Contributor : Boutaib Dahhou <>
Submitted on : Monday, October 5, 2020 - 11:36:14 AM
Last modification on : Thursday, June 10, 2021 - 3:05:47 AM

Identifiers

Citation

Dimitrios Fragkoulis, Gilles Roux, Boutaib Dahhou. Sensor fault detection and isolation for single, multiples and simultaneous faults: Application to a waste water treatment process. IFAC Proceedings Volumes, Elsevier, 2009, 42 (11), pp.934-939. ⟨10.3182/20090712-4-TR-2008.00153⟩. ⟨hal-02957540⟩

Share

Metrics

Record views

68