Ensemble Augmentation for Deep Neural Networks Using 1-D Time Series Vibration Data

被引：0
|
作者：
Atik Faysal
W. K. Ngui
M. H. Lim
M. S. Leong
机构：
[1] Universiti Malaysia Pahang,Institute of Noise and Vibration
[2] Lebuhraya Tun Razak,undefined
[3] Universiti Teknologi Malaysia,undefined
[4] Jalan Sultan Yahya Petra,undefined
来源：
Journal of Vibration Engineering & Technologies | 2023年 / 11卷
关键词：
Data augmentation; Transfer learning; Condition monitoring; DCGAN; Vibration signal;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：1987 / 2011
页数：24
相关论文
共 50 条
  • [21] Outlier Detection for Multidimensional Time Series using Deep Neural Networks
    Kieu, Tung
    Yang, Bin
    Jensen, Christian S.
    2018 19TH IEEE INTERNATIONAL CONFERENCE ON MOBILE DATA MANAGEMENT (MDM 2018), 2018, : 125 - 134
  • [22] Randomnet: clustering time series using untrained deep neural networks
    Li, Xiaosheng
    Xi, Wenjie
    Lin, Jessica
    DATA MINING AND KNOWLEDGE DISCOVERY, 2024, 38 (06) : 3473 - 3502
  • [23] Radio halo detection in MWA data using deep neural networks and generative data augmentation
    Mishra, Ashutosh K.
    Tolley, Emma
    Krishna, Shreyam Parth
    Kneib, Jean-Paul
    MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, 2025, 538 (04) : 2905 - 2922
  • [24] Fatigue Damage Diagnostics of Composites Using Data Fusion and Data Augmentation With Deep Neural Networks
    Dabetwar, Shweta
    Ekwaro-Osire, Stephen
    Dias, Joao Paulo
    JOURNAL OF NONDESTRUCTIVE EVALUATION, DIAGNOSTICS AND PROGNOSTICS OF ENGINEERING SYSTEMS, 2022, 5 (02):
  • [25] Real-Time Fault Detection and Identification for MMC Using 1-D Convolutional Neural Networks
    Kiranyaz, Serkan
    Gastli, Adel
    Ben-Brahim, Lazhar
    Al-Emadi, Nasser
    Gabbouj, Moncef
    IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2019, 66 (11) : 8760 - 8771
  • [26] Forecasting Time Series by an Ensemble of Artificial Neural Networks based on transforming the Time Series
    Gutierrez, German
    Paz Sesmero, M.
    Sanchis, Araceli
    2016 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC), 2016, : 4769 - 4774
  • [27] Detecting Methane Outbreaks from Time Series Data with Deep Neural Networks
    Pawlowski, Krzysztof
    Kurach, Karol
    ROUGH SETS, FUZZY SETS, DATA MINING, AND GRANULAR COMPUTING, RSFDGRC 2015, 2015, 9437 : 475 - 484
  • [28] Training Deep Fourier Neural Networks to Fit Time-Series Data
    Gashler, Michael S.
    Ashmore, Stephen C.
    INTELLIGENT COMPUTING IN BIOINFORMATICS, 2014, 8590 : 48 - 55
  • [29] Deep Time Series Neural Networks and Fluorescence Data Stream Noise Detection
    Obert, James
    Ferguson, Matthew
    INTELLIGENT COMPUTING, VOL 2, 2019, 857 : 18 - 32
  • [30] Long-term missing value imputation for time series data using deep neural networks
    Park, Jangho
    Muller, Juliane
    Arora, Bhavna
    Faybishenko, Boris
    Pastorello, Gilberto
    Varadharajan, Charuleka
    Sahu, Reetik
    Agarwal, Deborah
    NEURAL COMPUTING & APPLICATIONS, 2023, 35 (12): : 9071 - 9091
12345