Self-validating pneumatic actuator fault diagnosis based on relevance vector machine

被引：0
|
作者：
Feng, Zhigang [1 ]
Wang, Ru [1 ]
机构：
[1] School of Automation, Shenyang Aerospace University, Shenyang, Liaoning, China
来源：
International Journal of Control and Automation | 2014年 / 7卷 / 11期
关键词：
Compilation and indexing terms; Copyright 2024 Elsevier Inc;
D O I：
10.14257/ijca.2014.7.11.19
中图分类号：
学科分类号：
摘要：
Pneumatic equipment - Regression analysis - Support vector machines - Failure analysis - Fault detection - Vectors - Pneumatics
引用
收藏
页码：193 / 212
相关论文
共 50 条
  • [31] Fault diagnosis of rolling bearing based on relevance vector machine and kernel principal component analysis
    Wang, Bo
    Liu, Shulin
    Zhang, Hongli
    Jiang, Chao
    JOURNAL OF VIBROENGINEERING, 2014, 16 (01) : 57 - 69
  • [32] Multi-class Intelligent Fault Diagnosis Approach Based on Modified Relevance Vector Machine
    Kang, Jianshe
    Wu, Kun
    Chi, Kuo
    Du, Yinxia
    2016 8TH INTERNATIONAL CONFERENCE ON INTELLIGENT NETWORKING AND COLLABORATIVE SYSTEMS (INCOS), 2016, : 27 - 30
  • [33] Fault prognostic algorithm based on relevance vector machine regression
    Zhang L.
    Li X.-S.
    Yu J.-S.
    Wan J.-Q.
    Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics, 2010, 32 (07): : 1540 - 1543
  • [34] Fault prognostic model based on grey relevance vector machine
    Fan, Geng
    Ma, Deng-Wu
    Deng, Li
    Lü, Xiao-Feng
    Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics, 2012, 34 (02): : 424 - 428
  • [35] Self-Validating Chemical Sensor Array and Its Application Prospect in Machine Olfaction
    Chen, Yinsheng
    Chen, Deyun
    Song, Tingting
    Lin, Haijun
    Song, Kai
    2020 IEEE THE 4TH INTERNATIONAL CONFERENCE ON FRONTIERS OF SENSORS TECHNOLOGIES (ICFST 2020), 2020, : 5 - 10
  • [36] Self-validating thermocouples based on high temperature fixed points
    Pearce, J. V.
    Ongrai, O.
    Machin, G.
    Sweeney, S. J.
    METROLOGIA, 2010, 47 (01) : L1 - L3
  • [37] Application of relevance vector machine in the engine oil wear particle fault diagnosis
    Jian, Wang
    Dong, Yang
    Hu, Duan Xiao
    Zao, Ji Juan
    Peng, Bai
    2013 2ND INTERNATIONAL SYMPOSIUM ON INSTRUMENTATION AND MEASUREMENT, SENSOR NETWORK AND AUTOMATION (IMSNA), 2013, : 982 - 985
  • [38] Fault diagnosis based on support vector machine ensemble
    Li, Y
    Cai, YZ
    Yin, RP
    Xu, XM
    PROCEEDINGS OF 2005 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-9, 2005, : 3309 - 3314
  • [39] Intelligent fault diagnosis based on support vector machine
    Xia Fangfang
    Yuan Long
    Zhao Xiucai
    He Wenan
    Jia Ruisheng
    PROCEEDINGS OF 2015 IEEE 12TH INTERNATIONAL CONFERENCE ON ELECTRONIC MEASUREMENT & INSTRUMENTS (ICEMI), VOL. 1, 2015, : 201 - 205
  • [40] Transformer Fault Diagnosis Based on Support Vector Machine
    Zhang, Yan
    Zhang, Bide
    Yuan, Yuchun
    Pei, Zichun
    Wang, Yan
    PROCEEDINGS OF 2010 3RD IEEE INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND INFORMATION TECHNOLOGY (ICCSIT 2010), VOL 6, 2010, : 405 - 408
12345