A neural network-based method for gas turbine blading fault diagnosis

被引:1
|
作者
Angelakis, C. [1 ]
Loukis, E.N. [1 ]
Pouliezos, A.D. [1 ]
Stavrakakis, G.S. [1 ]
机构
[1] Technical University of Crete, Department of Electronic Engineering, Chania 73100, Crete, Greece
来源
International Journal of Modelling and Simulation | 2001年 / 21卷 / 01期
关键词
Fault diagnosis - Gas turbine blading - Learning vector quantization - Modular multilayer perceptron - Multilayer perceptron - Neural network architecture;
D O I
10.1080/02286203.2001.11442186
中图分类号
学科分类号
摘要
引用
收藏
页码:51 / 60
相关论文
共 50 条
  • [41] AGFL: A Graph Convolutional Neural Network-Based Method for Fault Localization
    Qian, Jie
    Ju, Xiaolin
    Chen, Xiang
    Shen, Hao
    Shen, Yiheng
    2021 IEEE 21ST INTERNATIONAL CONFERENCE ON SOFTWARE QUALITY, RELIABILITY AND SECURITY (QRS 2021), 2021, : 672 - 680
  • [42] Advanced Gas Turbine Rotor Shaft Fault Diagnosis Using Artificial Neural Network
    Ogbonnaya, Ezenwa A.
    Adigio, Emmanuel M.
    Ugwu, Hyginus U.
    Anumiri, Magnus C.
    INTERNATIONAL JOURNAL OF ENGINEERING AND TECHNOLOGY INNOVATION, 2013, 3 (01) : 58 - 69
  • [43] Performance-based fault diagnosis of a gas turbine engine using an integrated support vector machine and artificial neural network method
    Fentaye, Amare Desalegn
    Gilani, Syed Ihtsham Ul-Haq
    Baheta, Aklilu Tesfamichael
    Li, Yi-Guang
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART A-JOURNAL OF POWER AND ENERGY, 2019, 233 (06) : 786 - 802
  • [44] Dynamic neural network-based fault diagnosis for attitude control subsystem of a satellite
    Li, Z. Q.
    Ma, L.
    Khorasani, K.
    PRICAI 2006: TRENDS IN ARTIFICIAL INTELLIGENCE, PROCEEDINGS, 2006, 4099 : 308 - 318
  • [45] Convolutional Neural Network-Based Inter-Turn Fault Diagnosis in LSPMSMs
    Maraaba, Luqman S.
    Milhem, Abdulaziz S.
    Nemer, Ibrahim A.
    Al-Duwaish, Hussain
    Abido, M. A.
    IEEE ACCESS, 2020, 8 : 81960 - 81970
  • [46] Convolutional Neural Network-based Fault Diagnosis for Spacecraft Attitude Multiple Components
    Yan, Xu
    Sheng, Tao
    Xie, Xiong
    Cao, Yi
    2022 41ST CHINESE CONTROL CONFERENCE (CCC), 2022, : 3935 - 3941
  • [47] Convolutional Neural Network-Based Transformer Fault Diagnosis Using Vibration Signals
    Li, Chao
    Chen, Jie
    Yang, Cheng
    Yang, Jingjian
    Liu, Zhigang
    Davari, Pooya
    SENSORS, 2023, 23 (10)
  • [48] Wavelet Neural Network-Based Fault Diagnosis in Air-Handling Units
    Du, Zhimin
    Jin, Xinqiao
    Yang, Yunyu
    HVAC&R RESEARCH, 2008, 14 (06): : 959 - 973
  • [49] Neural Network-based Online Fault Diagnosis in Wireless-NoC Systems
    Qi Wang
    Yiming Ouyang
    Yingchun Lu
    Huaguo Liang
    Dakai Zhu
    Journal of Electronic Testing, 2021, 37 : 545 - 559
  • [50] Neural network-based fault diagnosis expert system for rod pumped well
    Liao, Ruiquan
    Wu, Lingyun
    Guan, Zhihong
    Wuhan Ligong Daxue Xuebao (Jiaotong Kexue Yu Gongcheng Ban)/Journal of Wuhan University of Technology (Transportation Science and Engineering), 2002, 26 (04):