DC Field | Value | Language |
---|---|---|
dc.contributor.author | Park, JaeHyeon | ko |
dc.contributor.author | Chang, Dong Eui | ko |
dc.date.accessioned | 2021-12-01T06:46:53Z | - |
dc.date.available | 2021-12-01T06:46:53Z | - |
dc.date.created | 2021-11-30 | - |
dc.date.created | 2021-11-30 | - |
dc.date.created | 2021-11-30 | - |
dc.date.issued | 2021-10-13 | - |
dc.identifier.citation | 21st International Conference on Control, Automation and Systems (ICCAS), pp.108 - 112 | - |
dc.identifier.issn | 2093-7121 | - |
dc.identifier.uri | http://hdl.handle.net/10203/289826 | - |
dc.description.abstract | With the advancement of neural network technology, many researchers are trying to find a clever way to apply neural network to a fault detection and isolation area for satisfactory and safer operations of the system. Some researchers detect system faults by combining a concrete model of the system with neural network, generating residuals by neural network, or training neural network with specific sensor signals of the system. In this article, we make a fault detection and isolation neural network algorithm that uses only inherent sensor measurements and control inputs of the system. This algorithm does not need a model of the system, residual generations, or additional sensors. We obtain sensor measurements and control inputs in a discrete-time manner, cut signals with a sliding window approach, and label data with one-hot vectors representing a normal or fault classes. We train our neural network model with the labeled training data. We give 2 neural network models: a stacked long short-term memory neural network and a multilayer perceptron. We test our algorithm with the quadrotor fault simulation and the real experiment. Our algorithm gives nice performance on a fault detection and isolation of the quadrotor. | - |
dc.language | English | - |
dc.publisher | ICROS | - |
dc.title | Data-driven fault detection and isolation of system with only state measurements and control inputs using neural networks | - |
dc.type | Conference | - |
dc.identifier.wosid | 000750950700015 | - |
dc.identifier.scopusid | 2-s2.0-85124209375 | - |
dc.type.rims | CONF | - |
dc.citation.beginningpage | 108 | - |
dc.citation.endingpage | 112 | - |
dc.citation.publicationname | 21st International Conference on Control, Automation and Systems (ICCAS) | - |
dc.identifier.conferencecountry | KO | - |
dc.identifier.conferencelocation | Ramada Plaza Hotel & Online | - |
dc.identifier.doi | 10.23919/ICCAS52745.2021.9650037 | - |
dc.contributor.localauthor | Chang, Dong Eui | - |
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