| 一种基于BP神经网络的传感器故障诊断方案 |
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| 引用本文： | 刘晓琴,王大志,杨青.一种基于BP神经网络的传感器故障诊断方案[J].沈阳理工大学学报,2006,25(4):16-19,46. |
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| 作者姓名： | 刘晓琴 王大志 杨青 |
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| 作者单位： | 沈阳理工大学,信息科学与工程学院,辽宁,沈阳,110168 |
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| 摘 要： | 针对传感器故障,提出了一种BP网络和修正的Bayes分类算法(MB)的集成故障诊断方法.用BP神经网络建立传感器故障模型,对系统的状态和故障参数进行在线估计,再用修正的Bayes算法进行传感器故障的在线检测、分离和估计.对连续搅拌釜式反应器(CSTR)的仿真结果表明,该集成故障诊断方法能够对传感器故障进行快速准确的分离和估计,并对传感器故障具有容错性.
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| 关 键 词： | 故障诊断 状态估计 容错控制 |
| 文章编号： | 1003-1251（2006）04-0016-04 |
| 收稿时间： | 2005-09-22 |
| 修稿时间： | 2005-09-22 |
A Fault Diagnosis Approach to Sensor Based on BP Neural Network |
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| LIU Xiao-qin,WANG Da-zhi,YANG Qing.A Fault Diagnosis Approach to Sensor Based on BP Neural Network[J].Transactions of Shenyang Ligong University,2006,25(4):16-19,46. |
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| Authors: | LIU Xiao-qin WANG Da-zhi YANG Qing |
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| Affiliation: | Shenyang Ligong University, Shenyang 110168, China |
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| Abstract: | An integrated fault diagnosis approach to sensor based on back propagation(BP) neural networks is presented in this paper.A BP neural network is used to estimate the state and fault parameters of the constructed model for sensor faults.The estimated fault parameters are processed by the improved Bayes algorithm to realize the sensor fault detection,isolation,and estimation on line.The simulation for continuous stirred tank reactor(CSTR) shows that the presented approach can isolate and estimate the multriple sensor faults quickly and accurately and the integrated system is of tolerant ability to sensor faults. |
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| Keywords: | fault diagnosis state estimation fault tolerant control |
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