Advanced sensor-based maintenance in real-world exemplary cases

被引:10
作者
Albano, Michele [1 ]
Ferreira, Luis Lino [2 ]
Di Orio, Giovanni [3 ]
Malo, Pedro [3 ]
Webers, Godfried [4 ]
Jantunen, Erkki [5 ]
Gabilondo, Iosu [6 ]
Viguera, Mikel [7 ]
Papa, Gregor [8 ]
机构
[1] Aalborg Univ, Dept Comp Sci, Aalborg, Denmark
[2] Polytech Inst Porto, ISEP, CISTER, Porto, Portugal
[3] UNINOVA NOVA Sch Sci & Technol FCT NOVA, Lisbon, Portugal
[4] Philips Healthcare, Amsterdam, Netherlands
[5] VTT Tech Res Ctr Finland, Espoo, Finland
[6] Ikerlan, Arrasate Mondragon, Spain
[7] Koniker, Arrasate Mondragon, Spain
[8] Jozef Stefan Inst, Ljubljana, Slovenia
基金
欧盟地平线“2020”;
关键词
Condition-based maintenance; predictive maintenance; virtual sensors; use cases; demonstrators; pilots; PRESSURE SENSORS; CRACK;
D O I
10.1080/00051144.2020.1794192
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Collecting complex information on the status of machinery is the enabler for advanced maintenance activities, and one of the main players in this process is the sensor. This paper describes modern maintenance strategies that lead to Condition-Based Maintenance. This paper discusses the sensors that can be used to support maintenance, as of different categories, spanning from common off-the-shelf sensors, to specialized sensors monitoring very specific characteristics, and to virtual sensors. This paper also presents four different real-world examples of project pilots that make use of the described sensors and draws a comparison between them. In particular, each scenario has unique characteristics requiring different families of sensors, but on the other hand provides similar characteristics on other aspects.
引用
收藏
页码:537 / 553
页数:17
相关论文
共 57 条
[1]  
Al-Turki O., 2014, INTEGRATED MAINTENAN, V1
[2]  
Albano M, 2018, 5 INT C CONTR DEC IN, DOI [10.1109/CoDIT.2, DOI 10.1109/CODIT.2018]
[3]  
Albano M., 2018, The MANTIS Book Cyber Physical System Based Proactive Collaborative Maintenance, P1, DOI [10.13052/rp-9788793609846, DOI 10.13052/RP-9788793609846]
[4]   Message-oriented middleware for smart grids [J].
Albano, Michele ;
Ferreira, Luis Lino ;
Pinho, Luis Miguel ;
Alkhawaja, Abdel Rahman .
COMPUTER STANDARDS & INTERFACES, 2015, 38 :133-143
[5]  
Baheti R., 2011, IMPACT CONTROL TECHN, V12, P161, DOI DOI 10.1145/1795194.1795205
[6]  
Beigl M, 2004, P 1 INT WORKSH NETW
[7]  
Berger C, PROCEDIA CIRP
[8]  
Cala A, 2016, 42 ANN C IEEE IND EL
[9]   Torque Sensor Based on Differential Air Pressure Using Volumetric Strain [J].
Cheng, Peng ;
Ul Islam, Muhammad Nazar ;
Oelmann, Bengt .
IEEE SENSORS JOURNAL, 2017, 17 (11) :3269-3277
[10]   Assessment and validation of oil sensor systems for on-line oil condition monitoring of wind turbine gearboxes [J].
Coronado, D. ;
Kupferschmidt, C. .
2ND INTERNATIONAL CONFERENCE ON SYSTEM-INTEGRATED INTELLIGENCE: CHALLENGES FOR PRODUCT AND PRODUCTION ENGINEERING, 2014, 15 :747-754