2018 - Sustainable Industrial Processing Summit & Exhibition
4-7 November 2018, Rio Othon Palace, Rio De Janeiro, Brazil
Seven Nobel Laureates have already confirmed their attendance: Prof. Dan Shechtman, Prof. Sir Fraser Stoddart, Prof. Andre Geim, Prof. Thomas Steitz, Prof. Ada Yonath, Prof. Kurt Wüthrich and Prof. Ferid Murad. More than 400 Abstracts Submitted from about 60 Countries.
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    Deep Online Analysis of Dielectric Parameters for Lubricants and Insulation Oils: Identification of Critical Operation Conditions of Gearboxes and HV Transformers for Live Time Enhancement
    Manfred Mauntz1; Jorn Peuser1;
    1CMC INSTRUMENTS GMBH, Eschborn, Germany;
    PAPER: 112/Energy/Keynote (Oral)
    SCHEDULED: 14:25/Tue./Asian (60/3rd)



    ABSTRACT:
    The online oil sensor system measures the components conductivity kappa, the relative permittivity epsilon r and the temperature T independently from each other. For insulation oils, the system calculates the loss factor tan delta with a very high precision. Changes in acidification, humidity, and break down voltage can be identified in real time. The new approach utilizes sensor detection of chemical aging of the insulating oil and its inhibitors. Based on a very sensitive measurement method with high accuracy, even small changes in the conductivity and dielectric constant of the transformer oil composition can be detected reliably. The new sensor system effectively controls the proper operation conditions of High Voltage Transformers, oil-filled circuit breakers, oil regeneration, and filtration systems. In wind turbine applications, the system enables damage prevention of the gearbox 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. A new parameter, the WearSens® Index (WSi) is introduced. The mathematical model of the WSi combines all measured values and its gradients in one single parameter for a comprehensive monitoring to prevent wind turbines from 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 wind turbine installations with different lubrication oils are shown. Short-term and long-term analysis of the data show significant trends and events, which are discussed more in detail. Once the oil condition monitoring sensor systems are installed on the high voltage transformer or a wind turbine's gearbox, the measured data can be displayed and evaluated elsewhere in sense of a full online condition monitoring system. 24/7 monitoring of the system (HV transformer or gearbox) during operation enables specific preventive and condition based maintenance independent of rigid inspection intervals.

    References:
    [1] P. Tchakoua, R. Wamkeue, M. Ouhrouche, F.S. Hasnaoui, T.A. Tameghe, G. Ekemb: Wind Turbine Condition Monitoring: State-of-the-Art Review, New Trends, and Future Challenges, Energies 2014,7, pp. 2595-2630, (2014)
    [2] Noria Corporation: The critical role of additives in lubrication, Machinery Lubrication June 2012, (2012)
    [3] M. Mauntz and U. Kuipers: Allsensorsystem- Sensorsystem zur Messung von Komponenten der komplexen Impedanz elektrisch gering leitender und nichtleitender Fluide, dessen Realisierung und Anwendung, patent application no. 10 2008 047 366.9, German Patent Office, Munich, (2008)
    [4] M. Mauntz, U. Kuipers and J. Peuser: New oil condition monitoring system, WearSens® enables continuous, online detection of critical operating conditions and wear damage, Malaysian International Tribology Conference 2015 - MITC2015, Penang, Malaysia on November 16-17, 2015, Conference Proceedings, ISBN: 978-967-13625-0-1, S. 179-180, (2015)