Diesel engine condition monitoring based on oil analysis

2011 ◽  
Author(s):  
Xufeng Jiang ◽  
Jianbo Wang ◽  
Ying Zong
Keyword(s):  
Diesel Engine ◽  
Condition Monitoring ◽  
Oil Analysis ◽  
Engine Condition

Application of Oil Analysis Techniques to Diesel Engine Condition Monitoring

2012 ◽  
Vol 224 ◽  
pp. 217-220
Author(s):  
Yong Guo Zhang ◽  
Xu Feng Jiang ◽  
Xiao Wen Wu ◽  
Zong Ying
Keyword(s):  
Diesel Engine ◽  
Condition Monitoring ◽  
Diesel Engines ◽  
Lubricating Oil ◽  
Oil Contamination ◽  
Oil Analysis ◽  
Mechanical Wear ◽  
Analysis Techniques ◽  
Wear Condition ◽  
Engine Condition

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.

Diesel engine condition monitoring using a multi-net neural network system with nonintrusive sensors

2011 ◽  
Vol 31 (17-18) ◽  
pp. 4097-4105 ◽  
Author(s):  
Jacobo Porteiro ◽  
Joaquín Collazo ◽  
David Patiño ◽  
José Luis Míguez
Keyword(s):  
Neural Network ◽  
Diesel Engine ◽  
Condition Monitoring ◽  
Network System ◽  
Neural Network System ◽  
Engine Condition

Condition monitoring of a diesel engine fueled with a blend of diesel, biodiesel, and butanol using engine oil analysis

Biofuels ◽  
2015 ◽  
Vol 6 (3-4) ◽  
pp. 223-231 ◽  
Author(s):  
Santosh Kumar Kurre ◽  
Shyam Pandey ◽  
Rajnish Garg ◽  
Mukesh Saxena
Keyword(s):  
Diesel Engine ◽  
Condition Monitoring ◽  
Engine Oil ◽  
Oil Analysis

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
Keyword(s):  
Mathematical Model ◽  
Diesel Engine ◽  
Condition Monitoring ◽  
Engine Oil ◽  
Oil Analysis ◽  
Normal Functioning ◽  
Production Time ◽  
Maximum Time

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.

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