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
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
  • [41] Gear fault diagnosis based on relevance vector machine with quantum-inspired ant colony optimization
    Bai, Jiyun
    Li, Shiyong
    Journal of Information and Computational Science, 2010, 7 (14): : 3169 - 3175
  • [42] Fault Diagnosis of High Voltage Circuit Breaker Based on Multi-classification Relevance Vector Machine
    Zhang, Yingjie
    Jiang, Yuan
    Chen, Yan
    Zhang, Ying
    JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY, 2020, 15 (01) : 413 - 420
  • [43] Fault Diagnosis of High Voltage Circuit Breaker Based on Multi-classification Relevance Vector Machine
    Yingjie Zhang
    Yuan Jiang
    Yan Chen
    Ying Zhang
    Journal of Electrical Engineering & Technology, 2020, 15 : 413 - 420
  • [44] An Efficient Approach for Fault Detection, Isolation, and Data Recovery of Self-Validating Multifunctional Sensors
    Yang, Jingli
    Chen, Yinsheng
    Zhang, Lili
    IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2017, 66 (03) : 543 - 558
  • [45] INTELLIGENT PANCREATITIS DIAGNOSIS-BASED ON RELEVANCE VECTOR MACHINE
    Li, Siqian
    He, Shiwen
    Yang, Jianzhe
    Sun, Yi
    Cheng, Dansong
    Shi, Daming
    PROCEEDINGS OF 2014 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS (ICMLC), VOL 2, 2014, : 601 - 606
  • [46] Adaptive fuzzy-neural-based multiple models for fault diagnosis of a pneumatic actuator
    Shi, L
    Sepehri, N
    PROCEEDINGS OF THE 2004 AMERICAN CONTROL CONFERENCE, VOLS 1-6, 2004, : 3753 - 3758
  • [47] Fault diagnosis method of self-validating metal oxide semiconductor gas sensor based on t-distribution stochastic neighbor embedding and random forest
    Xu, Peng
    Song, Kai
    Chen, Yinsheng
    Wei, Guo
    Wang, Qi
    REVIEW OF SCIENTIFIC INSTRUMENTS, 2019, 90 (05):
  • [48] Fault diagnosis based on self-tuning support vector machine in sample unbalance condition
    Jiang, B. (binjiang@nuaa.edu.cn), 1600, Beijing Institute of Technology (33):
  • [49] Fault diagnosis in condition of imbalanced samples using candidate set relevance vector machine
    Yi, Hui
    Liu, Yufang
    Zhang, Guangming
    Jiang, Bin
    Song, Xiaofeng
    ICIC Express Letters, 2013, 7 (02): : 505 - 512
  • [50] Fault Diagnosis of Rolling Bearing based on Variable Mode Decomposition and Multi-Class Relevance Vector Machine
    Li, Huipeng
    Zhou, Fengxing
    Xu, Bo
    Liu, Yi
    Yan, Baokang
    2018 37TH CHINESE CONTROL CONFERENCE (CCC), 2018, : 5954 - 5960