Physics-Based Simulation for Health Management of Rotating Machinery

被引:0
|
作者
Walker, Ryan [1 ]
Perinpanayagam, Suresh [1 ]
Jennions, Ian [1 ]
机构
[1] Cranfield Univ, IVHM Ctr, Cranfield MK43 0AL, Beds, England
关键词
ROTOR-BEARING SYSTEM; RUB-IMPACT; CRACK; IDENTIFICATION;
D O I
暂无
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
Data-driven techniques for-diagnosing faults in rotating machinery have a long history. Such approaches undoubtedly have their strengths and much research is still being performed in this area - recently into gearbox and bearing faults in particular. However, with the increasing power and sophistication of simulation tools, new methods for diagnosis, localization and prognosis of faults are rapidly being researched. This paper outlines current developments in modeling and simulation for rotating machinery health management and discusses the potential for such technologies to move from the realm of research into live systems. Comparisons and synergies with traditional data driven methods are made and it is concluded that simulation-driven techniques have much potential for next generation PHM systems.
引用
收藏
页码:647 / 658
页数:12
相关论文
共 50 条
  • [1] A Physics-based Deep Learning Approach for Fault Diagnosis of Rotating Machinery
    Sadoughi, Mohammadkazem
    Hu, Chao
    [J]. IECON 2018 - 44TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, 2018, : 5919 - 5923
  • [2] A review of physics-based models in prognostics: Application to gears and bearings of rotating machinery
    Cubillo, Adrian
    Perinpanayagam, Suresh
    Esperon-Miguez, Manuel
    [J]. ADVANCES IN MECHANICAL ENGINEERING, 2016, 8 (08)
  • [3] A review of physics-based learning for system health management
    Khan, Samir
    Yairi, Takehisa
    Tsutsumi, Seiji
    Nakasuka, Shinichi
    [J]. ANNUAL REVIEWS IN CONTROL, 2024, 57
  • [4] Physics-Based Combustion Simulation
    Nielsen, Michael B.
    Bojsen-Hansen, Morten
    Stamatelos, Konstantinos
    Bridson, Robert
    [J]. ACM TRANSACTIONS ON GRAPHICS, 2022, 41 (05):
  • [5] Physics-based simulation ontology: an ontology to support modelling and reuse of data for physics-based simulation
    Cheong, Hyunmin
    Butscher, Adrian
    [J]. JOURNAL OF ENGINEERING DESIGN, 2019, 30 (10-12) : 655 - 687
  • [6] Special feature on rotating machinery condition monitoring by connecting physics-based and data-driven methods
    Lei, Yaguo
    Liang, Xihui
    Chaari, Fakher
    [J]. MEASUREMENT SCIENCE AND TECHNOLOGY, 2022, 33 (01)
  • [7] PHYSICS-BASED PRECONDITIONERS FOR OCEAN SIMULATION
    Newman, C.
    Knoll, D. A.
    [J]. SIAM JOURNAL ON SCIENTIFIC COMPUTING, 2013, 35 (05): : S445 - S464
  • [8] Physics-Based Simulation in the CASTLE Environment
    Pope, Art
    Long, Chris
    Bramsen, Diane
    [J]. BIOLOGICALLY INSPIRED COGNITIVE ARCHITECTURES 2011, 2011, 233 : 295 - 295
  • [9] Automatic Quantization for Physics-Based Simulation
    Liu, Jiafeng
    Shi, Haoyang
    Zhang, Siyuan
    Yang, Yin
    Ma, Chongyang
    Xu, Weiwei
    [J]. ACM TRANSACTIONS ON GRAPHICS, 2022, 41 (04):
  • [10] Physics-Based Combustion Simulation in Bifrost
    Nielsen, Michael B.
    Stamatelos, Konstantinos
    Bojsen-Hansen, Morten
    Bridson, Robert
    [J]. SIGGRAPH '19 -ACM SIGGRAPH 2019 TALKS, 2019,