Experimental IoT study on fault detection and preventive apparatus using Node-RED ship's main engine cooling water pump motor


Çabuk A. S.

ENGINEERING FAILURE ANALYSIS, vol.138, 2022 (Journal Indexed in SCI) identifier identifier

  • Publication Type: Article / Article
  • Volume: 138
  • Publication Date: 2022
  • Doi Number: 10.1016/j.engfailanal.2022.106310
  • Title of Journal : ENGINEERING FAILURE ANALYSIS
  • Keywords: Node-RED, Fault Detection, Cooling Pumps, Ship ?s Main Engine, Smart Sensor, FAILURE ANALYSIS, HEAT-TRANSFER, CYLINDER, SYSTEM

Abstract

The shipping industry is becoming equipped with the innovative devices day by day. It is important to monitor all the devices on the ship and to store this data. It is foreseen that IoT technology will be widely used in the near future in ships that are considered to be a factory. In this study, the ship of 4310 Gross Tonnage, Oil/Chemical Tanker's 5435 HP diesel engine was investigated. The thermal, vibration and current data of the 7.5 kW 3-phase induction motor in the cooling pump used for the cooling system of this ship's main engine were analysed. These data were received with IoT sensors and transferred to the web interface. Monitoring of these data is provided by Node-RED, which is cost-effective and can easily process the information received from IoT devices. The system in this study consists of an architecture that receives instantaneous data from sensors, transfers them to the internet via electronic circuit, and transfers them to users via the dashboard and stores these data on MySQL. A system that observes errors of the cooling pump of ship's main engine by analysing these real time data and gives warning before failure occurs is designed.