This paper deals with fault detection in dynamical systems where the state variables evolutions are constrained by inequality\r\nconstraints. The latter corresponds either to physical limitations or to safety specification. Two classical residual generation\r\napproaches are studied, namely, parity space and unknown input observer approaches, and are extended to monitor the inequality\r\nconstraints. A practical implementation on a real process is performed and permits to validate the relevance of the proposed\r\nmethods.
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