The MANTIS Architecture for Proactive Maintenance

被引:0
|
作者
Hegedus, Csaba [1 ]
Varga, Pal [2 ]
Moldovan, Istvan [2 ]
机构
[1] AITIA Int Inc, 48-50 Czetz Janos Str, H-1039 Budapest, Hungary
[2] Budapest Univ Technol & Econ, Dept Telecommun & Media Informat, 2 Magyar Tudosok Krt, Budapest, Hungary
基金
欧盟地平线“2020”;
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
Data collection, processing and visualization techniques has been going through a rapid evolution in recent years. Various applications utilize these new results; especially combined. Parallel to this, there are new developments within the Cyber-Physical Systems (CPS) domain. Beside the main purpose of CPS - getting physical systems serve to work better, faster, more optimized -, the concept can improve the long-term usability of the physical equipment, as well. The principles of proactive maintenance are rooted from the need of short-term fault correction and long-term usability. The idea is to track system status not only for operations but for maintenance purpose as well. This allows for scheduling maintenance based on need-rather than based on operating time or "mileage". This paper presents the MANTIS framework for proactive maintenance. It utilizes CPS concepts for system modeling, furthermore, it proposes a combined tool set for data collection, processing and presentation. In order to cover the full value chain, the framework applies for all the three Tiers: the Edge, the Platform, and the Enterprise, as well.
引用
收藏
页码:719 / 724
页数:6
相关论文
共 50 条
  • [1] An Architecture for Proactive Maintenance in the Machinery Industry
    Canito, Alda
    Fernandes, Marta
    Conceicao, Luis
    Praca, Isabel
    Santos, Magno
    Rato, Ricardo
    Cardeal, Goncalo
    Leiras, Francisco
    Marreiros, Goreti
    [J]. AMBIENT INTELLIGENCE- SOFTWARE AND APPLICATIONS- 8TH INTERNATIONAL SYMPOSIUM ON AMBIENT INTELLIGENCE (ISAMI 2017), 2017, 615 : 254 - 262
  • [2] A formal framework of human-machine interaction in proactive maintenance - MANTIS experience
    Poklukar, Spela
    Papa, Gregor
    Novak, Franc
    [J]. AUTOMATIKA, 2017, 58 (04) : 450 - 459
  • [3] A Big Data implementation of the MANTIS reference architecture for predictive maintenance
    Larrinaga, Felix
    Fernandez-Anakabe, Javier
    Zugasti, Ekhi
    Garitano, Inaki
    Zurutuza, Urko
    Olaizola, Jon
    Anasagasti, Mikel
    Mondragon, Mikel
    [J]. PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART I-JOURNAL OF SYSTEMS AND CONTROL ENGINEERING, 2019, 233 (10) : 1361 - 1375
  • [4] Navy proactive maintenance
    Hedderich, CP
    [J]. NAVAL ENGINEERS JOURNAL, 1996, 108 (06) : 41 - 57
  • [5] PROACTIVE STRATEGY MAINTENANCE
    Radkowski, Stanislaw
    Guminski, Robert
    [J]. SCIENTIFIC JOURNAL OF SILESIAN UNIVERSITY OF TECHNOLOGY-SERIES TRANSPORT, 2014, 82 : 193 - 202
  • [6] Proactive Maintenance of Railway Switches
    Hegedus, Csaba
    Ciancarini, Paolo
    Franko, Attila
    Kancilija, Ales
    Moldovan, Istvan
    Papa, Gregor
    Poklukar, Spela
    Riccardi, Mario
    Sillitti, Alberto
    Varga, Pal
    [J]. 2018 5TH INTERNATIONAL CONFERENCE ON CONTROL, DECISION AND INFORMATION TECHNOLOGIES (CODIT), 2018, : 725 - 730
  • [7] ESTABLISHING PROACTIVE MAINTENANCE MANAGEMENT
    KLUSMAN, R
    [J]. WATER-ENGINEERING & MANAGEMENT, 1995, 142 (01): : 16 - 18
  • [8] Preventative maintenance: A proactive customer service
    Barker, WO
    Lane, JR
    Holbrook, DP
    Vadrevu, NR
    Padalino, LT
    [J]. BELL LABS TECHNICAL JOURNAL, 2005, 9 (04) : 187 - 200
  • [9] Rethinking Maintenance: Transitioning to a Proactive Approach
    Bouvier, Larry
    Levandoski, Rob
    [J]. CHEMICAL ENGINEERING, 2017, 124 (05) : 50 - 53
  • [10] Pathology and proactive maintenance of floor finishes
    Ventura, Madalena
    Dias, Ilidio S.
    Flores-Colen, Ines
    Silva, Ana
    [J]. INTERNATIONAL JOURNAL OF BUILDING PATHOLOGY AND ADAPTATION, 2023, 41 (03) : 588 - 605