Datatrend, A computerized System for Engine Condition Monitoring and Predictive Maintenance of Large Bore Diesel Engines

1973 ◽  
Vol 6 (3) ◽  
pp. 252-266
Author(s):  
H. Sandtorv ◽  
G. Fiskaa ◽  
M. Rasmussen
2012 ◽  
Vol 224 ◽  
pp. 217-220
Author(s):  
Yong Guo Zhang ◽  
Xu Feng Jiang ◽  
Xiao Wen Wu ◽  
Zong Ying

In order to verify the validity of oil analysis for heavy diesel engine condition monitoring, the lubricating oil were sampled from the lubricating system of the domestic diesel engines, and then were tested by oil analysis (including contamination detection, periodic sampling test and ferrography technology). The results showed that oil analysis could monitor the lubricating oil contamination and mechanical wear condition to make diesel engines avoid early mechanical failure.


Author(s):  
Hugo Raposo ◽  
José Torres Farinha ◽  
Inácio Fonseca ◽  
Luis Ferreira

The paper presents a case study and a model for condition monitoring of Diesel engines’ oil of urban buses, through the accompaniment of the evolution of its degradation, with the objective to implement a predictive maintenance policy. Along time, because the usage, there is some decay in the lubricant properties. However, in normal functioning conditions, the lubricants properties, at the time the manufacturers recommend its changing, regardless of they are within the safety limits. Then, based on the accompaniment of the lubricants’ oil condition, the intervals of oil replacement can be enlarged what implies the availability increasing and the corresponding production increasing of the equipment. The model presented in this paper shows its potential to be spread to other types of equipment and organisations that want can implement similar maintenance policies, to achieve the best availability based on the real equipment health conditioning conditions


2017 ◽  
Vol 33 (8) ◽  
pp. 2765-2779 ◽  
Author(s):  
António Simões ◽  
José Manuel Viegas ◽  
José Torres Farinha ◽  
Inácio Fonseca

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