| 传感器组故障自诊断自修正方法 |
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| 引用本文： | 李发光,刘镇,陈生春. 传感器组故障自诊断自修正方法[J]. 船海工程, 2007, 36(4): 68-70 |
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| 作者姓名： | 李发光 刘镇 陈生春 |
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| 作者单位： | 海军工程大学,船舶与动力学院,武汉,430033 |
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| 摘 要： | 提出用RBF神经网络对传感器组中的各个输出进行预测,若预测值与输出值发生较大的偏差,可能是传感器故障或设备故障,运用传感器之间的冗余率,进一步判断传感器是否发生故障,进而采用对应的诊断策略。
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| 关 键 词： | 传感器组 故障诊断 RBF神经网络 冗余性 |
| 文章编号： | 1671-7953（2007）04-0068-03 |
| 修稿时间： | 2006-12-112007-01-26 |
The Self Revising Fault Diagnosis for the Redundant Transducer Group |
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| LI Fa-guang,LIU Zhen,CHEN Sheng-chun. The Self Revising Fault Diagnosis for the Redundant Transducer Group[J]. Ship &Ocean Engineering, 2007, 36(4): 68-70 |
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| Authors: | LI Fa-guang LIU Zhen CHEN Sheng-chun |
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| Affiliation: | School of Naval Architecture and Power, Naval University of Engineering, Wuhan 430033, China |
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| Abstract: | A transducer fault diagnosis method is introduced based on the RBF neural network and the redundancy calculation,in which the RBF neural network is used to predict the output of the transducer.If the error between the prediction and the actual output goes beyond the limit,it is possible for the transducer or the mechanism being malfunction.With the calculation of the redundancy between the transducers,the fault can be judged more exactly to get the effective diagnosis strategy. |
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| Keywords: | transducer group fault diagnosis RBF neural network redundancy As for the diesel engine inspection and monitoring it is very important to find the fault of the transducer itself. |
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