| ACO-BP算法在化工过程故障诊断中的应用 |
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| 引用本文： | 陈剑雪.ACO-BP算法在化工过程故障诊断中的应用[J].化工自动化及仪表,2012,39(7):872-875. |
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| 作者姓名： | 陈剑雪 |
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| 作者单位： | 上海工程技术大学电子电气工程学院,上海,201620 |
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| 基金项目： | 上海市科学技术委员会科研计划项目 |
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| 摘 要： | 将蚁群算法和BP神经网络相结合,利用蚁群优化算法与误差反向传播算法结合而构成的混合算法(ACO-BP)训练神经网络的权值和阈值,给出ACO-BP算法训练神经网络的基本原理和方法步骤,并将该算法应用于连续搅拌釜式反应器的故障诊断。仿真结果表明:ACO-BP算法具有较高的诊断精度,能够及时、有效地检测连续搅拌釜式反应器中存在的故障。
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| 关 键 词： | 故障诊断 ACO-BP算法 蚁群优化算法 误差反向传播算法 BP神经网路 仿真 |
Application of ACO-BP Algorithm to Fault Diagnosis in Chemical Process |
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| CHEN Jian-xue.Application of ACO-BP Algorithm to Fault Diagnosis in Chemical Process[J].Control and Instruments In Chemical Industry,2012,39(7):872-875. |
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| Authors: | CHEN Jian-xue |
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| Affiliation: | CHEN Jian-xue(College of Electrical and Electronic Engineering,Shanghai University of Engineering Science,Shanghai 201620,China) |
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| Abstract: | ACO-BP algorithm which combining ant colony optimization(ACO) algorithm with back-propagation(BP) algorithm was proposed to train neural network weights and thresholds;and both basic theory and steps of ACO-BP algorithm were given and the ACO-BP algorithm was applied to fault diagnosis of the continuous stirred-tank reactor(CSTR).Experimental results show that the ACO-BP neural network with high precision in fault diagnosis can detect the fault in CSTR promptly and effectively. |
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| Keywords: | fault diagnosis ACO-BP algorithm ant colony optimization algorithm back-propagation algorithm BP Neural Network simulation |
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