Fault detection for buildings using uncertain parameters and interacting multiple-model method
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F22%3A00335591" target="_blank" >RIV/68407700:21230/22:00335591 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-030-85318-1_77" target="_blank" >http://dx.doi.org/10.1007/978-3-030-85318-1_77</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-85318-1_77" target="_blank" >10.1007/978-3-030-85318-1_77</a>
Alternative languages
Result language
angličtina
Original language name
Fault detection for buildings using uncertain parameters and interacting multiple-model method
Original language description
Model-based fault detection and diagnosis (FDD) systems for buildings are very demanding on the solution set up eort. One rea- son is the requirement to use a high-delity model which must be created for each building separately. The FDD approach that reduces this bur- den is proposed in this paper. Proposed FDD algorithms are based on the interacting multiple-model (IMM) method and Kalman ltering for systems with uncertain parameters. The uncertain parameters in models enable to use "average" zone models rather than high-delity models, which simplies real applications. Detection of single and multiple faults is demonstrated on an example where faults, that might cause ine- ciency of control, are detected. Results show that the performance of the proposed algorithms with average zone models is comparable to the performance of the conventional IMM with accurate models.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20205 - Automation and control systems
Result continuities
Project
<a href="/en/project/GA18-26278S" target="_blank" >GA18-26278S: Incorporation of Prior Knowledge for Identification of Nonlinear Systems</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Lecture Notes in Control and Information Sciences - Proceedings
ISBN
978-3-030-85317-4
ISSN
2522-5383
e-ISSN
2522-5391
Number of pages
20
Pages from-to
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Publisher name
Springer
Place of publication
Wien
Event location
Bologna
Event date
Nov 21, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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