Are neural network techniques the solution to measurement validation, monitoring and automatic diagnosis of sensor faults?
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- Gaura Elena I.
- Coventry University, School of Mathematical and Information Sciences
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- Kraft Michael
- University of Southampton, Microelectronics Centre
説明
The appropriateness and feasibility of using artificial Neural Network (ANN) techniques to facilitate improved in-service performance of micromachined acceleration measuring devices is questioned in this research and its possible extrapolation to sensor fault diagnosis is attempted. Two examples of closed loop neuro-transducers are given: a micromachined accelerometer with capacitive pick-off and a neural network controlled tunnelling accelerometer. Based on the success of the ANN control method as applied to sensors, the authors investigate the possibility of developing self-diagnosis sensors based on ANNs and a strategy of such development is proposed.
収録刊行物
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- SICE Annual Conference Program and Abstracts
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SICE Annual Conference Program and Abstracts 2002 (0), 453-453, 2002
公益社団法人 計測自動制御学会
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詳細情報 詳細情報について
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- CRID
- 1390001205584016896
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- NII論文ID
- 130006960086
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- 本文言語コード
- en
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- データソース種別
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- JaLC
- CiNii Articles
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- 抄録ライセンスフラグ
- 使用不可