Marine Engine Room Alarm Monitoring System Fault Detection and Monitoring Technique via PLCs and SCADA-based System

被引:0
|
作者
Tawiah, Isaac [1 ]
Ashraf, Usman [1 ]
Song, Yinglei [1 ]
Akhtar, Aleena [1 ]
机构
[1] Jiangsu Univ Sci & Technol, Sch Elect & Informat Sci, Zhenjiang 212003, Peoples R China
关键词
Alarm monitoring system; engine control room; OPC communication; PLCs; SCADA systems;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Alarms affect operations in most part of the ship. Their impact on modern Engine Control Room operations is no less significant. The state of an alarm system serves as an indication of the extent to which the ship's operations are under management control. Thus, the design of efficient and reliable alarm monitoring system is vital for safe and sound operations. Although several design techniques have been proposed, all the proposed design methods employ sophisticated and expensive approaches in resolving alarm issues. In this paper, a cheap, yet reliable and efficient alarm design method for engine room device monitoring is presented. The design method employs PLCs and SCADA-based system and adopts certain basic design requirements of alarm monitoring system presented in literary works. Reasons for such a design method are highlighted, and the programming platforms for the design are given. The strengths and weaknesses of some design methods presented in some published works are reported and solutions to such problems are proposed. The proposed design technique, including fault diagnostic algorithm, have been subjected to real-time online testing at the shipyard, specifically Changjiang Waterway Bureau, China (ship name-Ning Dao 501). The testing results proved that this design technique is reliable, efficient and effective for online engine control room device monitoring.
引用
收藏
页码:433 / 441
页数:9
相关论文
共 50 条
  • [1] Design and implementation of monitoring and alarm system for marine engine room
    School of Automation and Electrical Engineering, Dalian Maritime University, Dalian 116026, China
    Xitong Fangzhen Xuebao, 2006, SUPPL. 2 (851-853+856):
  • [2] Design of Monitoring and Alarm System for the Ship's Engine Room
    Wang Changshun
    Xiao Hairong
    Pan Weigang
    Han Yaozhen
    COMPUTATIONAL MATERIALS SCIENCE, PTS 1-3, 2011, 268-270 : 1663 - 1668
  • [3] The research of an intelligent monitoring system based on FCS for marine engine room
    Dou, JS
    Tang, TH
    PROCEEDINGS OF THE 4TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-4, 2002, : 2113 - 2117
  • [4] Wind Turbine Failure Prediction Model using SCADA-based Condition Monitoring System
    Alzawaideh, Bara
    Baboli, Payam Teimourzadeh
    Babazadeh, Davood
    Horodyvskyy, Susanne
    Koprek, Isabel
    Lehnhoff, Sebastian
    2021 IEEE MADRID POWERTECH, 2021,
  • [5] Cluster-Based Anomaly Detection in Condition Monitoring of a Marine Engine System
    Vanem, Erik
    Brandsaeter, Andreas
    2018 PROGNOSTICS AND SYSTEM HEALTH MANAGEMENT CONFERENCE (PHM-CHONGQING 2018), 2018, : 20 - 31
  • [6] SCADA-based Operator Support System for Power Plant Equipment Fault Forecasting
    Mayadevi N.
    Ushakumari S.S.
    Vinodchandra S.S.
    Journal of The Institution of Engineers (India): Series B, 2014, 95 (4) : 369 - 376
  • [7] A review of SCADA-based condition monitoring for wind turbines via artificial neural networks
    Sheng, Li
    Li, Chunyu
    Gao, Ming
    Xi, Xiaopeng
    Zhou, Donghua
    NEUROCOMPUTING, 2025, 633
  • [8] Marine engine room monitoring and control system for simulating real processes on a ship
    Smierzchalski, R
    CONTROL APPLICATIONS IN MARINE SYSTEMS 2001 (CAMS 2001), 2002, : 137 - 142
  • [9] Erratum to: SCADA-based Operator Support System for Power Plant Equipment Fault Forecasting
    N. Mayadevi
    S. Ushakumari
    S. S. Vinodchandra
    Journal of The Institution of Engineers (India): Series B, 2015, 96 (2) : 209 - 209
  • [10] A Condition Monitoring and Fault Isolation System for Wind Turbine Based on SCADA Data
    Liu, Xingchen
    Du, Juan
    Ye, Zhi-Sheng
    IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2022, 18 (02) : 986 - 995