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Group sparsity-aware convolutional neural network for continuous missing data recovery of structural health monitoring
Structural Health Monitoring ( IF 5.7 ) Pub Date : 2020-07-04 , DOI: 10.1177/1475921720931745 Zhiyi Tang 1, 2, 3 , Yuequan Bao 1, 2, 3 , Hui Li 1, 2, 3
Structural Health Monitoring ( IF 5.7 ) Pub Date : 2020-07-04 , DOI: 10.1177/1475921720931745 Zhiyi Tang 1, 2, 3 , Yuequan Bao 1, 2, 3 , Hui Li 1, 2, 3
Affiliation
In structural health monitoring, data quality is crucial to the performance of data-driven methods for structural damage identification, condition assessment, and safety warning. However, structura...
中文翻译：
用于结构健康监测连续缺失数据恢复的组稀疏感知卷积神经网络
在结构健康监测中，数据质量对于结构损伤识别、状态评估和安全警告的数据驱动方法的性能至关重要。然而，结构...
更新日期：2020-07-04
中文翻译：
用于结构健康监测连续缺失数据恢复的组稀疏感知卷积神经网络
在结构健康监测中，数据质量对于结构损伤识别、状态评估和安全警告的数据驱动方法的性能至关重要。然而，结构...
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