Parameter fault estimation in distributed heating/cooling systems

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Wijaya Kurniawan, Katalin M. Hangos, Lorinc Marton

2022 ACM International Conference Proceeding Series Conference paper Cited by 1 Quartile

Abstract

In this paper, the problem of fault estimation and localization in the connecting dynamic elements of distributed heating and cooling systems are treated. The fault represents the physical parameter change related to the heat transfer between the system and the external environment. First, based on the bi-linear dynamic state space model of the system in the presence of a fault, structural observability analysis using Signed Directed Graph (SDG) has been performed to investigate the sensor placement problem. Then, a nonlinear observer with a parameter adaptation algorithm was proposed for fault estimation. The simulation results show that it can successfully detect and estimate the fault. Fault localization along the length of the element has also been attempted, but it has been found that the localization cannot be performed using practically changeable input variables. Frequency domain analysis is presented to discuss this phenomenon. © 2022 ACM.

Affiliations

Faculty of Computer Science, University of Brawijaya, Malang, Indonesia; Dept. of Electrical Engineering and Information Systems, University of Pannonia, Veszprem, Hungary; Institute for Computer Science and Control, Budapest, Hungary; Dept. of Electrical Engineering, Sapientia Hungarian University of Transylvania, Targu Mures, Romania