Feature extraction and damage alarming using time series analysis

被引：0
|
作者：
Liu, Yi [1 ]
Li, Aiqun [1 ]
Fei, Qingguo [1 ]
Ding, Youliang [1 ]
机构：
[1] Key Laboratory of Concrete and Prestressed Concrete Structure, Southeast University, Nanjing 210096, China
来源：
Journal of Southeast University (English Edition) | 2007年 / 23卷 / 01期
关键词：
Structural health monitoring;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：86 / 91
相关论文
共 50 条
  • [21] A seamless economical feature extraction method using Landsat time series data
    Chao Chen
    Liyan Wang
    Jianyu Chen
    Zhisong Liu
    Yang Liu
    Yanli Chu
    Earth Science Informatics, 2021, 14 : 321 - 332
  • [22] Human Activity Recognition using Time Series Feature Extraction and Active Learning
    Kazllarof, Vangjel V. K.
    Kotsiantis, Sotiris S.
    PROCEEDINGS OF THE 12TH HELLENIC CONFERENCE ON ARTIFICIAL INTELLIGENCE, SETN 2022, 2022,
  • [23] A seamless economical feature extraction method using Landsat time series data
    Chen, Chao
    Wang, Liyan
    Chen, Jianyu
    Liu, Zhisong
    Liu, Yang
    Chu, Yanli
    EARTH SCIENCE INFORMATICS, 2021, 14 (01) : 321 - 332
  • [24] Feature extraction of radar emitter signals based on symbolic time series analysis
    Chen, Tao-Wei
    Jin, Wei-Dong
    2007 INTERNATIONAL CONFERENCE ON WAVELET ANALYSIS AND PATTERN RECOGNITION, VOLS 1-4, PROCEEDINGS, 2007, : 1277 - +
  • [25] New supervised learning classifiers for structural damage diagnosis using time series features from a new feature extraction technique
    Chegeni, Masoud Haghani
    Sharbatdar, Mohammad Kazem
    Mahjoub, Reza
    Raftari, Mahdi
    EARTHQUAKE ENGINEERING AND ENGINEERING VIBRATION, 2022, 21 (01) : 169 - 191
  • [26] New supervised learning classifiers for structural damage diagnosis using time series features from a new feature extraction technique
    Masoud Haghani Chegeni
    Mohammad Kazem Sharbatdar
    Reza Mahjoub
    Mahdi Raftari
    Earthquake Engineering and Engineering Vibration, 2022, 21 : 169 - 191
  • [27] New supervised learning classifiers for structural damage diagnosis using time series features from a new feature extraction technique
    Masoud Haghani Chegeni
    Mohammad Kazem Sharbatdar
    Reza Mahjoub
    Mahdi Raftari
    Earthquake Engineering and Engineering Vibration, 2022, 21 (01) : 169 - 191
  • [28] Multiscale feature extraction for time series classification with hybrid feature selection
    Zhang, Hui
    Lin, Mao-Song
    Huang, Wei
    Kawasaki, Saori
    Ho, Tu Bao
    INTELLIGENT CONTROL AND AUTOMATION, 2006, 344 : 939 - 944
  • [29] Fast Feature Extraction For Time Series Analysis Using Least-Squares Approximations with Orthogonal Basis Functions
    Gensler, Andre
    Gruber, Thiemo
    Sick, Bernhard
    2015 22nd International Symposium on Temporal Representation and Reasoning (TIME), 2015, : 29 - 37
  • [30] A System for Time Series Feature Extraction in Federated Learning
    Wang, Siqi
    Li, Jiashu
    Lu, Mian
    Zheng, Zhao
    Chen, Yuqiang
    He, Bingsheng
    PROCEEDINGS OF THE 31ST ACM INTERNATIONAL CONFERENCE ON INFORMATION AND KNOWLEDGE MANAGEMENT, CIKM 2022, 2022, : 5024 - 5028
12345