Implementation of Dedicated Observers for Failures Detection in a Heat Exchanger
DOI:
https://doi.org/10.71701/0ec7av65Keywords:
Heat exchanger, fault diagnosis, dedicated observer scheme, dynamic neuro-identificationAbstract
This paper deals with the design and implementation of a dedicated observer bench for temperature sensors fault detection and identification applied to a concentric-pipe industrial heat exchanger. A multivariable grey-box model was considered, in which an operation point was chosen. Based on process data, an off-line linearized model coefficient identification was carried out using a dynamic neuro-identification scheme. In the design of the dedicated observer bench, pole placement was chosen for gain observer adjustment, which allowed us to have more control over sensibility and detection time of the fault diagnostic system at the implementation stage. For fault identification, an algorithm based on residual evaluation using static thresholds was developed.
The practical implementation was carried out using a programmable logic controller, in which the necessary routines and add-ons were programmed in order to implement the fault detection and identification algorithm. The experiments shown that with this scheme is possible fault detection and identification of individual and simultaneous faults on heat exchanger temperature sensors. The main contribution of this work is to provide a different scheme for fault detection and identification systems development for the heat exchanger, based on a simplified mathematical model, which coefficients could be founded through neural networks using neuro- identification scheme, and which provides a satisfactory approximation of states values around a fixed operation point, allowing the straightforward design and implementation over PLC of dedicated observers for process supervision tasks.
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