Research on Crane Damage Identification Based on GNAR Model without Baseline-Reference-Cited by-同舟云学术

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Research on Crane Damage Identification Based on GNAR Model without Baseline

Published:2017 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2017 International Conference on Data Mining, Communications and Information Technology - DMCIT '17
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Author:

Li BoWei¹,Huang Kai²,Xu FeiYun¹,Jiang Yu³,Yang HuiChao¹

Affiliation:

1. School of Mechanical Engineering, Southeast University, Nanjing, China

2. Special Equipment Safety, Supervision Inspection Institute of Jiangsu Province, Nanjing, China

3. College of Intelligent Science and Control Engineering, Jinling Institute of Technology, Nanjing, China

Publisher

ACM Press

Reference15 articles.

1. Kourehli S.S. Damage identification based on incomplete modal data and constrained nonlinear multivariable function[J]. 11th International Conference on Damage Assessment of Structures, 2015, 628(1).

2. Stache Martin, Guettler Marcus, Marburg Steffen. A precise non-destructive damage identification technique of long and slender structures based on modal data [J]. Journal of Sound and Vibration, 2016, 365:89--101.

3. Gul Mustafa, Catbas F. Necati. Damage assessment with ambient vibration data using a novel time series analysis methodology [J]. Journal of Structural Engineering, 2011, 137(12):1518--1526.

4. Omenzetter Piotr, De Lautour Oliver R. Classification of damage in structural systems using time series analysis and supervised and unsupervised pattern recognition techniques [J]. Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems, 2010, 7647.

5. Farahani Reza V., Penumadu Dayakar. Damage of a full-scale five-girder bridge using time-series analysis of vibration data [J]. Engineering Structures, 2016, 115:129--139.

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1. Damage Detection of Gantry Crane with a Moving Mass Using Artificial Neural Network;Buildings;2024-02-07

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