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Cited by 401

The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.

A novel unsupervised deep learning model for global and local health condition assessment of structures

Rafiei, Mohammad Hossein, Adeli, Hojjat·2018·Engineering Structures
DOI 10.1016/j.engstruct.2017.10.070
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Crossref · 10.1016/j.engstruct.2017.10.070

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Citations

Cites

Show all 33 references

Research works printed but not linked: 12

  1. Amezquita-Sanchez JP, Adeli H, 2015b. Feature extraction and classification techniques for health monitoring of structures. Scientia Iranica, – Trans A: Civil Eng 2015;22:6 [Invited Paper].
  2. Bougoudis, 2016, Fast and low cost prediction of extreme air pollution values with hybrid unsupervised learning, Integ Comput-Aided Eng, 23, 115, 10.3233/ICA-150505 · doi:10.3233/ica-150505
  3. Castillo, 2016, Bayesian networks-based probabilistic safety analysis for railway lines, Comput-Aided Civil Infrastruct Eng, 31, 681, 10.1111/mice.12195 · doi:10.1111/mice.12195
  4. Daubechies, 1996, A nonlinear squeezing of the continuous wavelet transform based on auditory nerve models, Wavelets Med Biol, 527
  5. Fereshtehnejad, 2017, Ohio bridge condition index: multilevel cost-based performance index for bridge systems, Transport Res Record: J Transport Res Board, 2612, 152, 10.3141/2612-17 · doi:10.3141/2612-17
  6. Karami, 2016, Developing a smart structure using integrated subspace-based damage detection and semi-active control, Comput-Aided Civil Infrastruct Eng, 31, 887, 10.1111/mice.12231 · doi:10.1111/mice.12231
  7. Lei, 2016, A computationally compact algorithm for real-time detection of abrupt structural stiffness degradations, Comput-Aided Civil Infrastruct Eng, 31, 465, 10.1111/mice.12217 · doi:10.1111/mice.12217
  8. Perez-Ramirez, 2016, Time-frequency techniques for modal parameters identification of civil structures from acquired dynamic signals, J Vibroeng, 18, 3164, 10.21595/jve.2016.17220 · doi:10.21595/jve.2016.17220
  9. Qarib, 2015, A new adaptive algorithm for automated feature extraction in exponentially damped signals for health monitoring of smart structures, Smart Mater Struct, 24, 125040, 10.1088/0964-1726/24/12/125040 · doi:10.1088/0964-1726/24/12/125040
  10. Tondini, 2015, Capabilities of a fiber Bragg grating sensor system to monitor the inelastic response of concrete sections in new tunnel linings subjected to earthquake loading, Comput-Aid Civil Infrastruct Eng, 30, 636, 10.1111/mice.12106 · doi:10.1111/mice.12106
  11. Wandowski, 2015, Embedded damage localization subsystem based on elastic wave propagation, Comput-Aided Civil Infrastruct Eng, 30, 654, 10.1111/mice.12129 · doi:10.1111/mice.12129
  12. Zhong, 2016, A two-dimensional plum-blossom sensor array-based multiple signal classification method for impact localization in composite structures, Comput-Aided Civil Infrastruct Eng, 31, 633, 10.1111/mice.12198 · doi:10.1111/mice.12198

Cited by

Metadata

Authors
Rafiei, M. H., & Adeli, H.
Venue
Engineering Structures
Publisher
Elsevier BV
Published
2018-02
Volume
156
Pages
598-607
ISSN
0141-0296 (ISSN-L)
DOI
10.1016/j.engstruct.2017.10.070
OpenAlex
W2776541877
Cited by
401
References
33
FWCI
36.53
Type
journal article
Language
en
Open access
closed
Licence
  • www.elsevier.com/tdm/userlicense/1.0/ (tdm)
  • www.elsevier.com/legal/tdmrep-license (tdm)

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.