Abstract:
Statistically, 8.29% of total number of vehicles seen on the Sri Lankan road network is heavy vehicles [5]. India dominates the Sri Lankan heavy vehicle market with a share of 50% followed by other vehicle manufacturing countries [11]. When compared with its European, Japanese or German counterpart these Indian vehicles are specially designed for developing countries such as Sri Lanka. Most heavy vehicle manufactures do not give adequate consideration to provide an early warning system to help maintain heavy vehicle engines in good condition. Thus this research proposes such an early warning system which include fan belt condition indicator, alarm controlled engine cooling temperature indicator, vehicle loading weight indicator and automated method in keeping records of the engine oil changing period. The study has been carried out over one year period with selected vehicles from the Sri Lanka Navy, which possesses a massive heavy vehicle fleet and operates them frequently all over the Island. The proposals have been made by gathering information and analyzing data obtained from this fleet during its operation. The fan belt condition indicator provides an early warning by measuring the level of wear and tear of the fan belt. The conventional engine temperature indicator has been replaced with an electronic temperature sensor to provide real time engine temperature indicator. It also incorporates an alarm to warn of dangerously high temperatures to the vehicle operator. The weight of cargo loaded to the vehicle is measured through shockabsorber mounted displacement sensors, providing the operator with an accurate indication of the load on the vehicle prior to starting the journey. Further, an engine running hours counter provides an indication of actual engine running period, making it easy to identify proper time for oil changing. All the above features are consolidated in to a single display unit on the dashboard using electronic communication system. This unit called “Engine Quality Monitoring Unit” will greatly help the maintenance crew to prepare a proper maintenance schedule, fine tuned for each vehicle in the fleet.
Citation:
Sirimanna, C.K. (2014). Automation of maintenance scheduling for a fleet of heavy vehicles [Master's theses, University of Moratuwa]. Institutional Repository University of Moratuwa. http://dl.lib.mrt.ac.lk/handle/123/11665