Structural damage identification based on unsupervised feature-extraction via Variational Auto-encoder

Xirui Ma; Yizhou Lin; Zhenhua Nie; Hongwei Ma

doi:10.1016/j.measurement.2020.107811

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Structural damage identification based on unsupervised feature-extraction via Variational Auto-encoder

Xirui Ma Yizhou Lin Zhenhua Nie Hongwei Ma

Year: 2020 Journal: Measurement Vol: 160 Pages: 107811-107811 Publisher: Elsevier BV

DOI: 10.1016/j.measurement.2020.107811

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Keywords:

Structural health monitoring Computer science Artificial intelligence Identification (biology) Autoencoder Process (computing) Pattern recognition (psychology) Bridge (graph theory) Feature (linguistics) Unsupervised learning Encoder Machine learning Deep learning Engineering Structural engineering

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Topics

Structural Health Monitoring Techniques

Physical Sciences → Engineering → Civil and Structural Engineering

Infrastructure Maintenance and Monitoring

Physical Sciences → Engineering → Civil and Structural Engineering

Ultrasonics and Acoustic Wave Propagation

Physical Sciences → Engineering → Mechanics of Materials

Structural damage identification based on unsupervised feature-extraction via Variational Auto-encoder

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