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Journal of the Korea Institute of Military Science and Technology 1998;1(1):82-91.
Sensor Failure Detection and Accommodation Based on Neural Networks
,
신경회로망을 이용한 센서 고장진단 및 극복
이균정, 이봉기
국방과학연구소
Abstract
This paper presents a neural networks based approach for the problem of sensor failure detection and accommodation for ship without physical redundancy in the sensors. The designed model consists of two neural networks. The first neural network is responsible for the failure detection and the second neural network is responsible for the failure identification and accommodation. On the yaw rate sensor of ship, simulation results indicates that the proposed method can be useful as failure detector and sensor estimator.
Key Words: Fault-tolerance, Neural Network, EBPA(Extended Back-Propagation Algorithm)
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