Visual Modeling of Condition Monitoring Systems

被引:0
|
作者
Zygmunt, Maciej [1 ]
Budyn, Marek [1 ]
Orkisz, Michal [1 ]
Ottewill, James [1 ]
Jaramillo, Victor [1 ]
Nowak, Agnieszka [1 ]
机构
[1] ABB Corp Res Ctr, PL-31038 Krakow, Poland
关键词
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper a graphical approach for Condition Monitoring Systems (CM) based on Model Driven Architecture is presented; in particular, the software application "Smart Monitoring Agent" or SMA. This graphical approach starts from the idea of modeling, applying and visualizing non-hierarchical relations. The presented method makes use of well-defined data models that take the solution to a superior level of configurability, using only graphical tools. Finally it is explained how this approach enables the flexible knowledge exchange between condition monitoring experts and software engineers.
引用
收藏
页数:4
相关论文
共 50 条
  • [1] Visual Analytics Framework for Condition Monitoring in Cyber-Physical Systems
    Villalonga, Alberto
    Castano, Fernando
    Beruvides, Gerardo
    Laber, Rodolfo, I
    Strzelczak, Stanislaw
    Kossakowska, Joanna
    [J]. 2019 23RD INTERNATIONAL CONFERENCE ON SYSTEM THEORY, CONTROL AND COMPUTING (ICSTCC), 2019, : 55 - 60
  • [2] Condition Monitoring Systems
    不详
    [J]. ZKG INTERNATIONAL, 2009, 62 (03): : 14 - +
  • [3] Deep evolutionary modeling of condition monitoring data in marine propulsion systems
    Alberto Diez-Olivan
    Jose A. Pagan
    Ricardo Sanz
    Basilio Sierra
    [J]. Soft Computing, 2019, 23 : 9937 - 9953
  • [4] Deep evolutionary modeling of condition monitoring data in marine propulsion systems
    Diez-Olivan, Alberto
    Pagan, Jose A.
    Sanz, Ricardo
    Sierra, Basilio
    [J]. SOFT COMPUTING, 2019, 23 (20) : 9937 - 9953
  • [5] Feature extraction, condition monitoring, and fault modeling in semiconductor manufacturing systems
    Bleakie, Alexander
    Djurdjanovic, Dragan
    [J]. COMPUTERS IN INDUSTRY, 2013, 64 (03) : 203 - 213
  • [6] Condition Indicators for Gearbox Condition Monitoring Systems
    Vecer, P.
    Kreidl, M.
    Smid, R.
    [J]. ACTA POLYTECHNICA, 2005, 45 (06) : 35 - 43
  • [7] Modeling of probability distribution functions for automatic threshold calculation in condition monitoring systems
    Jablonski, A.
    Barszcz, T.
    Bielecka, M.
    Breuhaus, P.
    [J]. MEASUREMENT, 2013, 46 (01) : 727 - 738
  • [8] Condition monitoring for drive systems
    Kure, Gottfried
    [J]. ZEV Rail Glasers Annalen, 2012, 136 (09): : 80 - 85
  • [9] Condition monitoring on power systems
    Poza, Francisco
    Marino, Perfecto
    Otero, Santiago
    Pastoriza, Vicente
    [J]. ICSENG 2008: INTERNATIONAL CONFERENCE ON SYSTEMS ENGINEERING, 2008, : 103 - 108
  • [10] Linear parameter-varying modeling and identification for condition-based monitoring of systems
    Doraiswami, Rajamani
    Cheded, Lahouari
    [J]. JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2015, 352 (04): : 1766 - 1790