Smart Online Monitoring System for Large Scale Diesel Engine

被引:0
作者
Maulidevi, Nur Ulfa [1 ]
Khodra, Masayu Leylia [1 ]
Susanto, Herry [2 ]
Jadid, Furkan [2 ]
机构
[1] ITB, Informat Res Grp, Bandung, Indonesia
[2] Daun Biru Engn, Depok, Indonesia
来源
2014 INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY SYSTEMS AND INNOVATION (ICITSI) | 2014年
关键词
diesel engine; maintenance; online monitoring; smart; recommendation; expert quality;
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
Electrical energy plays an important role in Indonesia's economic development. In Indonesia, many islands other than Java, Bali, Madura, still depend on Diesel Engine as the source of electrical energy. Biodiesel as an alternative of diesel engine also makes diesel engine as one possible solution for producing electrical energy. In order to be able to use diesel engine in longer period, the maintenance of the machine is very crucial. This paper proposed the usage of information technology to create smart maintenance system for large scale diesel engine. Online monitoring is carried out to have actual observation of the running machine. The obtained data is analyzed to find the problems that can cause machine malfunction. Based on the problems, the system proposed recommendation action to be carried out by the operator, before it becomes catastrophic failure. The smart system consists of two main processes, which are data acquisition to have online monitoring, and the recommendation modul that has expert quality in solving diesel engine problems. The design of the smart online monitoring system is discussed in this paper.
引用
收藏
页码:235 / 240
页数:6
相关论文
共 8 条
  • [1] [Anonymous], 2013, INT J ADV RES COMPUT
  • [2] [Anonymous], 1993, Systematic Introduction to Expert Systems: Knowledge Representations and Problem-Solving Methods
  • [3] An efficient expert system for machine fault diagnosis
    Liu, SC
    Liu, SY
    [J]. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2003, 21 (09) : 691 - 698
  • [4] Ministry of Energy and Mineral Resources Republic of Indonesia, MAST PLAN EL DEV 201
  • [5] National Communication System, 2004, TECHN INF B NAT COMM, V04-1
  • [6] Russell S., 2010, Artificial Intelligence: A Modern Approach, V3rd
  • [7] Wind turbine condition monitoring based on SCADA data using normal behavior models. Part 1: System description
    Schlechtingen, Meik
    Santos, Ilmar Ferreira
    Achiche, Sofiane
    [J]. APPLIED SOFT COMPUTING, 2013, 13 (01) : 259 - 270
  • [8] Intelligent predictive decision support system for condition-based maintenance
    Yam, RCM
    Tse, PW
    Li, L
    Tu, P
    [J]. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2001, 17 (05) : 383 - 391