scholarly journals Condition Monitoring with Prediction Based on Diesel Engine Oil Analysis: A Case Study for Urban Buses

Actuators ◽  
2019 ◽  
Vol 8 (1) ◽  
pp. 14 ◽  
Author(s):  
Hugo Raposo ◽  
José Farinha ◽  
Inácio Fonseca ◽  
L. Ferreira

This paper presents a case study and a model to predict maintenance interventions based on condition monitoring of diesel engine oil in urban buses by accompanying the evolution of its degradation. Many times, under normal functioning conditions, the properties of the lubricants, based on the intervals that manufacturers recommend for its change, are within normal and safety conditions. Then, if the lubricants’ oil condition is adequately accompanied, until reaching the degradation limits, the intervals of oil replacement can be enlarged, meaning that the buses’ availability increases, as well as their corresponding production time. Based on this assumption, a mathematical model to follow and to manage the oil condition is presented, in order to predict the next intervention with the maximum time between them, which means the maximum availability.

Biofuels ◽  
2015 ◽  
Vol 6 (3-4) ◽  
pp. 223-231 ◽  
Author(s):  
Santosh Kumar Kurre ◽  
Shyam Pandey ◽  
Rajnish Garg ◽  
Mukesh Saxena

2011 ◽  
Vol 8 (7) ◽  
pp. 103442 ◽  
Author(s):  
Amy Fentress ◽  
John Sander ◽  
Jo Ameye ◽  
A. Toms ◽  
S. W. Dean

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.


Wear ◽  
1979 ◽  
Vol 56 (1) ◽  
pp. 93-103 ◽  
Author(s):  
M.H. Jones

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


Author(s):  
Abdel Gadir Abdel Gabar ALLA Jabo ◽  
Dr. Midhat Victor Eskandar

Engines are the main part of power plants. The performance of the engine depends upon the good condition of the components like cylinders, cylinder heads, pistons, piston rings, valves, and connecting rods, etc. The failure of engine components can be reduced by using condition monitoring techniques. There are many types of condition monitoring techniques are available. The famous Non-destructive Tests (NDTs) for engines condition monitoring are including vibration analysis, infrared thermography, and engine used oil analysis. The aim of this research is to reduce the failures of engine components by analyzing the used oil. Oil is the lifeblood of engines. Much like doctors assess human health through blood analysis, engine components can be monitored in much the same manner. Engine oil analysis means testing a sample of engine oil in unused or used condition. Analysis is done for various properties like Viscosity, Total Base Number (TBN), Total Acid Number (TAN), Ash Content, Flash Point, Water Content, Contamination, and Wear Metal particles which used to monitor the wear rate of engine components. The result of the analysis is then compared with the given analysis limits to assess the quality of lubricant and the possibility of further using, or not. The properties of oil will be changed based on engine running hours. The used oil can be collected from engine after various running hours for analyzing, and the test result is used to assess the condition of engine and oil quality, then maintenance decision will be made according to those results. This optimization of maintenance activities will result in a reasonable cost reduction by increasing the interval of lubricant replacing and saving time and efforts of maintenance authorities.


Author(s):  
P. Ramkumar ◽  
L. Wang ◽  
T. J. Harvey ◽  
R. J. K. Wood ◽  
K. Nelson ◽  
...  

The aim of this work is to better understand the relationship between the wear of sliding tribo-couples and contamination such as soot, sulphuric acid, moisture and oxidation levels to simulate the influence of contamination in model diesel engine oils using electrostatic condition monitoring.


Sign in / Sign up

Export Citation Format

Share Document