Machinery condition monitoring

被引：0
作者：
Pusey, HC [1 ]
机构：
[1] Soc MFPT, Haymarket, VA 20169 USA
来源：
SOUND AND VIBRATION | 2000年 / 34卷 / 05期
关键词：
D O I：
暂无
中图分类号：
O42 [声学];
学科分类号：
070206 ; 082403 ;
摘要：
引用
收藏
页码：6 / 7
页数：2
相关论文
共 50 条
  • [41] The Computer System for Monitoring of Induction Motors Condition of Mining Machinery
    Kashirskikh, Veniamin
    Zavyalov, Valery
    Semykina, Irma
    Borovtsov, Valery
    [J]. IVTH INTERNATIONAL INNOVATIVE MINING SYMPOSIUM, 2019, 105
  • [42] The diagnostic line: A novel criterion for condition monitoring of rotating machinery
    Lin, Jinshan
    Dou, Chunhong
    [J]. ISA TRANSACTIONS, 2015, 59 : 232 - 242
  • [43] Research on Data Quality Assurance for Health Condition Monitoring of Machinery
    Lei Y.
    Xu X.
    Cai X.
    Li N.
    Kong D.
    Zhang Y.
    [J]. Jixie Gongcheng Xuebao/Journal of Mechanical Engineering, 2021, 57 (04): : 1 - 9
  • [44] A Highly Sensitive Triboelectric Vibration Sensor for Machinery Condition Monitoring
    Zhao, Hongfa
    Shu, Mingrui
    Ai, Zihao
    Lou, Zirui
    Sou, Kit Wa
    Lu, Chengyue
    Jin, Yuchao
    Wang, Zihan
    Wang, Jiyu
    Wu, Changsheng
    Cao, Yidan
    Xu, Xiaomin
    Ding, Wenbo
    [J]. ADVANCED ENERGY MATERIALS, 2022, 12 (37)
  • [45] Overview of condition monitoring and an expert system for longwall mining machinery
    Basu, A.
    Li, Yuejin
    Singh, R.N.
    [J]. Mining science & technology, 1991, 13 (03): : 279 - 290
  • [46] Condition monitoring of rotating machinery using active magnetic bearings
    Penny, John E. T.
    Friswell, Michael I.
    Zhou, Chunliang
    [J]. PROCEEDINGS OF ISMA2006: INTERNATIONAL CONFERENCE ON NOISE AND VIBRATION ENGINEERING, VOLS 1-8, 2006, : 3497 - +
  • [47] Embedded autoencoder-based condition monitoring of rotating machinery
    Kohlheb, Tibor
    Sinapius, Michael
    Pommer, Christian
    Boschmann, Alexander
    [J]. 2021 26TH IEEE INTERNATIONAL CONFERENCE ON EMERGING TECHNOLOGIES AND FACTORY AUTOMATION (ETFA), 2021,
  • [48] Using acoustic emission to simplify the condition monitoring of industrial machinery
    Holroyd, TJ
    [J]. INSIGHT, 1998, 40 (08) : 558 - 560
  • [49] An adaptive HMM based classification system in machinery condition monitoring
    Miao, Q.
    Huang, H. Z.
    Fan, X. F.
    [J]. DYNAMICS OF CONTINUOUS DISCRETE AND IMPULSIVE SYSTEMS-SERIES B-APPLICATIONS & ALGORITHMS, 2006, 13E : 2922 - 2927
  • [50] VIBRATION ALERT LEVELS IN SHIPBOARD MACHINERY CONDITION MONITORING AND DIAGNOSTICS
    SHIN, YS
    LIU, CS
    [J]. NAVAL ENGINEERS JOURNAL, 1995, 107 (01) : 35 - 44
12345