The Research on Sensor Fault Diagnosis Based on the SVM Prediction Model

Ya Jun Zhu; Xiang Mei Yu; Bao Hai Yang

doi:10.4028/www.scientific.net/AMM.596.528

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Anti-Bias Association Algorithm for AIS and Radar Tracks Based on Centroid Reference Topological Characteristics
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The Research on Sensor Fault Diagnosis Based on the SVM Prediction Model
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 596The Research on Sensor Fault Diagnosis Based on...

The Research on Sensor Fault Diagnosis Based on the SVM Prediction Model

Abstract:

A novel method for sensor fault diagnosis based on support vector machine (SVM) prediction model was proposed. This paper put forward the principle of SVM condtruction process and the system parameters obtained from using dynamic model identification of sensor. The sensor fault was diagnosed on line by prediction model, which avoided that BP algorithm must have mass data and is likely to fall into local minimum point. Compared to the traditional motheds, it was much more effective and accurate.

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Periodical:

Applied Mechanics and Materials (Volume 596)

Pages:

528-531

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.596.528

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Online since:

July 2014

Authors:

Ya Jun Zhu*, Xiang Mei Yu, Bao Hai Yang

Keywords:

Dynamic Model, Fault Diagnosis, Sensor, Support Vector Machine (SVM)

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* - Corresponding Author

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