Abstract
This article deals with problems related to the isolation and identification of sensor faults in complex industrial processes. The idea is based on the quantitative analysis of residuals in the presence of sensor faults in order to establish binary fault signatures using the parity space method around the maximum power operating point (MPPT) of the generator. The residuals are generated thanks to the analytical redundancy relations (ARR) given by the system model and all the sensors used. The measured currents and voltages are used to perform fault detection and signature algorithms. The application of the method is done on a complex industrial system, consisting of a large number of photovoltaic panels organized in a field. Monitoring the state of health of this complex industrial process using this diagnostic approach will improve the reliability, performance and return on investment of the installation for sustainable development.
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Compaore, O.W., Hoblos, G., Koalaga, Z. (2023). Sensor Fault Analysis of an Isolated Photovoltaic Generator. In: Kowalczuk, Z. (eds) Intelligent and Safe Computer Systems in Control and Diagnostics. DPS 2022. Lecture Notes in Networks and Systems, vol 545. Springer, Cham. https://doi.org/10.1007/978-3-031-16159-9_23
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DOI: https://doi.org/10.1007/978-3-031-16159-9_23
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