In Honor of Nobel Laureate Prof. Ferid Murad

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Abstract Submission

Manfred Mauntz

cmc Instruments GmbH

Online Condition Monitoring Of Engines By A Deep Analysis Of The Electrical Conductivity And Relative Permittivity Changes Of The Lubricant
Mauntz International Symposium (7th Intl. Symp. on Sustainable Energy Production: Fossil; Renewables; Nuclear; Waste handling , processing, & storage for all energy production technologies; Energy conservation)

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The requirements in the power generation with biogas, gas and diesel engines rise. Ever more flexibility at a maximum operational reliability and a long-life time are required of them at the same time, so the requirements for the oil and the oil condition monitoring grow correspondingly. This presentation provides information about an online oil condition monitoring system to give a solution to the mentioned priorities. The focus is set to the detection of contamination effects in contrast to oil changes in gearboxes where the additive degradation is the dominating effect.
The online oil sensor system measures the components conductivity, the relative permittivity and the temperature independently from each other. Based on a very sensitive measurement method with high accuracy even small changes in the conductivity and dielectric constant of the oil composition can be detected reliably. The sensor system effectively controls the proper operation conditions of the engines and gearboxes instantaneously signals any kind of abnormal parameter change.
The system enables damage prevention of the engine by an advanced warning time of critical operation conditions and an enhanced oil exchange interval realized by a precise measurement of the electrical conductivity, the relative permittivity and the oil temperature. The WearSens® Index (WSi) which has been successfully implemented in wind power gearbox applications is quite flexible and can be adjusted to the engine monitoring as well. The mathematical model of the WSi combines all measured values and its gradients in one single parameter for a comprehensive monitoring to prevent the asset from expensive damage. Furthermore, the WSi enables a long-term prognosis on the next oil change by 24/7 server data logging. Corrective procedures and/or maintenance can be carried out before actual damage occurs. Raw data and WSi results of a landfill gas engine installation is shown. Short-term and long-term analysis of the data show significant trends and events, which are discussed more in detail.
24/7 monitoring of the system during operation enables specific preventive and condition-based maintenance and independent of rigid inspection intervals.