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基于深度全连接神经网络的大坝变形预测研究 被引量:20
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作者 杨恒 岳建平 +1 位作者 邢尹 周钦坤 《大地测量与地球动力学》 CSCD 北大核心 2021年第2期162-166,共5页
将深度全连接神经网络引入大坝变形预测领域,结合大坝多源监测数据的训练样本,建立基于深度全连接神经网络的大坝变形预测模型。利用几种常见的深度优化学习算法对模型进行优化训练,通过对比各损失函数的变化曲线选取最优学习算法,进一... 将深度全连接神经网络引入大坝变形预测领域,结合大坝多源监测数据的训练样本,建立基于深度全连接神经网络的大坝变形预测模型。利用几种常见的深度优化学习算法对模型进行优化训练,通过对比各损失函数的变化曲线选取最优学习算法,进一步构建基于最优学习算法的深度全连接神经网络大坝变形预测模型;最后结合大坝多源监测数据的测试样本对模型进行检验分析,并将预测结果和传统BP神经网络的预测结果进行对比。研究结果表明,本文的深度全连接神经网络模型预测精度高、实用性强,可为大坝安全监控提供参考。 展开更多
关键词 大坝变形 全连接神经网络 深度优化学习算法 预测
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Condition-based maintenance optimization for continuously monitored degrading systems under imperfect maintenance actions 被引量:10
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作者 CHEN Chuang LU Ningyun +1 位作者 JIANG Bin xing yin 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2020年第4期841-851,共11页
Condition-based maintenance(CBM) is receiving increasing attention in various engineering systems because of its effectiveness. This paper formulates a new CBM optimization problem for continuously monitored degrading... Condition-based maintenance(CBM) is receiving increasing attention in various engineering systems because of its effectiveness. This paper formulates a new CBM optimization problem for continuously monitored degrading systems considering imperfect maintenance actions. In terms of maintenance actions,in practice, they scarcely restore the system to an as-good-as new state due to residual damage. According to up-to-data researches, imperfect maintenance actions are likely to speed up the degradation process. Regarding the developed CBM optimization strategy, it can balance the maintenance cost and the availability by the searching the optimal preventive maintenance threshold.The maximum number of maintenance is also considered, which is regarded as an availability constraint in the CBM optimization problem. A numerical example is introduced, and experimental results can demonstrate the novelty, feasibility and flexibility of the proposed CBM optimization strategy. 展开更多
关键词 condition-based maintenance(CBM) imperfect maintenance maintenance cost availability constraint OPTIMIZATION
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