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Structure and Infrastructure Engineering
Maintenance, Management, Life-Cycle Design and Performance
Volume 14, 2018 - Issue 10
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Articles

An improved damage diagnostic technique based on Singular Spectrum Analysis and time series models

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Pages 1412-1431 | Received 05 Jan 2017, Accepted 29 Nov 2017, Published online: 07 Mar 2018

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Read on this site (2)

Toan Pham-Bao, Tam Nguyen-Nhat & Nhi Ngo-Kieu. (2022) A novel approach to investigate the mechanical properties of the material for bridge health monitoring using convolutional neural network. Structure and Infrastructure Engineering 0:0, pages 1-21.
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Mohammad Hassan Daneshvar, Alireza Gharighoran, Seyed Alireza Zareei & Abbas Karamodin. (2021) Early damage detection under massive data via innovative hybrid methods: application to a large-scale cable-stayed bridge. Structure and Infrastructure Engineering 17:7, pages 902-920.
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Articles from other publishers (4)

Mehdi Salehi, Seyed Amin Bagherzadeh & Mohamad Fakhari. (2023) Experimental detection of train wheel defects using wayside vibration signal processing. Structural Health Monitoring, pages 147592172211496.
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Chunwei Zhang, Asma A. Mousavi, Sami F. Masri, Gholamreza Gholipour, Kai Yan & Xiuling Li. (2022) Vibration feature extraction using signal processing techniques for structural health monitoring: A review. Mechanical Systems and Signal Processing 177, pages 109175.
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Huijun Song, Ming Xiang, Guangtao Lu & Tao Wang. (2022) Singular spectrum analysis and fuzzy entropy-based damage detection on a thin aluminium plate by using PZTs. Smart Materials and Structures 31:3, pages 035015.
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Lakshmi KrishnasamyRama Mohan Rao Arumulla. (2019) Baseline-Free Hybrid Diagnostic Technique for Detection of Minor Incipient Damage in the Structure. Journal of Performance of Constructed Facilities 33:2.
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