Intelligent vehicle embedded sensors fault detection and isolation using analytical redundancy and nonlinear transformations (Q1794132)
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scientific article; zbMATH DE number 6954233
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | Intelligent vehicle embedded sensors fault detection and isolation using analytical redundancy and nonlinear transformations |
scientific article; zbMATH DE number 6954233 |
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Intelligent vehicle embedded sensors fault detection and isolation using analytical redundancy and nonlinear transformations (English)
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15 October 2018
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Summary: This work proposes a fault detection architecture for vehicle embedded sensors, allowing to deal with both system nonlinearity and environmental disturbances and degradations. The proposed method uses analytical redundancy and a nonlinear transformation to generate the residual value allowing the fault detection. A strategy dedicated to the optimization of the detection parameters choice is also developed.
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fault detection architecture
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vehicle embedded sensors
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nonlinearity
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disturbances
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nonlinear transformation
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