The Use of Cyclic Voltammetric Antioxidant Analysis for Proactive Engine Oil Condition Monitoring Program

2000 ◽  
Author(s):  
Birgit Myle ◽  
Robert E. Kauffman
Keyword(s):  
Condition Monitoring ◽  
Monitoring Program ◽  
Engine Oil ◽  
Cyclic Voltammetric ◽  
Oil Condition Monitoring

Visible/NIR on-line sensor for marine engine oil condition monitoring applying chemometric methods

2010 ◽  
Author(s):  
A. Villar ◽  
E. Gorritxategi ◽  
S. Fernandez ◽  
D. Otaduy ◽  
A. Arnaiz ◽  
...  
Keyword(s):  
Condition Monitoring ◽  
Engine Oil ◽  
Chemometric Methods ◽  
Marine Engine ◽  
Oil Condition Monitoring ◽  
On Line

Optimizing a Wind Turbine Oil Condition Monitoring Program

2011 ◽  
Vol 8 (10) ◽  
pp. 103758 ◽  
Author(s):  
Greg J. Livingstone ◽  
Jo Ameye ◽  
Dave Wooton ◽  
A. Toms ◽  
S. W. Dean
Keyword(s):  
Wind Turbine ◽  
Condition Monitoring ◽  
Monitoring Program ◽  
Turbine Oil ◽  
Oil Condition Monitoring

Lubricating Oil Condition Monitoring Using Vibration and Air-Borne Acoustic Measurements

Volume 3 ◽  
2004 ◽  
Author(s):  
A. Albarbar ◽  
R. Gennish ◽  
F. Gu ◽  
A. Ball
Keyword(s):  
Diesel Engine ◽  
Condition Monitoring ◽  
Frequency Band ◽  
High Reliability ◽  
Fault Detection And Diagnosis ◽  
Engine Oil ◽  
Lubricating Oil ◽  
Oil Viscosity ◽  
Oil Condition Monitoring ◽  
Engine Maintenance

Modern diesel engine maintenance programs incorporate various methods and techniques for early fault detection and diagnosis to maintain efficiency, low pollution and high reliability and to avoid catastrophic failures. This study has been conducted aiming at engine oil condition monitoring and quality evaluation by analysing the engine block vibration and its induced noise. The vibration signals were measured using an accelerometer mounted on the thrust side of the first cylinder in a four cylinder diesel engine, and the noise was recorded using a microphone facing the cylinder. The signals are then band pass filtered and transformed to the frequency domain, where the amplitudes of the different frequency components of the vibration and noise waveforms are analysed and compared to the vibration and noise baseline signatures. The mean amplitudes of the spectral components in the frequency band 900 Hz to 2.5 kHz were found linearly proportional to the engine speed and load. It was also found that the RMS values of this frequency band are affected by the oil viscosity. These results show that it is possible to use vibration and airborne acoustics to predict the quality of lubrication.

New Solid State Oil Condition Sensor for Real Time Engine Oil Condition Monitoring

2006 ◽  
Author(s):  
James W. Bennett ◽  
Leonid Matsiev ◽  
Mark Uhrich ◽  
Oleg Kolosov ◽  
Zbigniew Bryning ◽  
...  
Keyword(s):  
Solid State ◽  
Real Time ◽  
Condition Monitoring ◽  
Engine Oil ◽  
Oil Condition Monitoring
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