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2024 Joint IES Day (Egypt and Binghamton (USA))
Virtual: https://events.vtools.ieee.org/m/447977On behalf of IEEE IES Egypt and Binghamton chapters and (https://www.linkedin.com/company/egyptian-chinese-university/), it is our pleasure to invite you to Joint IES Day with two speakers: - (https://www.linkedin.com/in/oabdalla/) is a power system scientist with extensive experience in academia and industry in many countries like Egypt and Oman. - Dr. (https://www.linkedin.com/in/ziang-john-zhang-58a04a37/) is an expert in power system stability and inverter-based resource integration. There will also be an introduction to the (https://www.linkedin.com/company/ieee-ies/) given by (https://www.linkedin.com/in/antonio-luque-b678573/) . Please check the Event Flyer at the bottom for more information. Co-sponsored by: IEEE IES Egypt Virtual: https://events.vtools.ieee.org/m/447977
IEEE DEI Schenectady Chapter, Machine-Learning Applications to Estimating Generator Useful Life
Virtual: https://events.vtools.ieee.org/m/437141Hydro-Québec is working on the development of a prognostic approach for hydrogenerators based on the combination of a physics-based model, which integrates all failure mechanisms in a graphical form, and data-based models adapted to the types of diagnostic tools. The failure mechanism graph, which has been defined by a group of experts, consists of several cause-and-effect chains formed by the grouping of sequential physical degradation states that ultimately lead to a failure state. Knowing the transition function between each pair of physical degradation states, it becomes possible to estimate the time required to reach the failure state for a given failure mechanism. The first essential step of this approach is to automatically identify the active failure mechanisms based on the analysis of observable symptoms extracted from diagnostic tools. For the stator winding of hydrogenerators, over 100 failure mechanisms have been consigned, most of which involve the presence of partial discharge (PD) activity. Analysis of each individual PD source is therefore essential to understanding the behavior and evolution of these failure mechanisms. This presentation will highlight the development carried out to automatically identify the active failure mechanisms for the stator winding, the diagnostic tools as well as the in-house integrated diagnostic application called DIAAA, and the methodology developed to recognize each active PD source using PDA and PRPD results. Speaker(s): Mélanie Lévesque Virtual: https://events.vtools.ieee.org/m/437141
2024 Joint IES Day (Egypt and Binghamton (USA)) Theme: Renewable Energies in Power Grids
Virtual: https://events.vtools.ieee.org/m/448787The world is targeting 100% Renewable Energy by 2050. The increase in renewable energies year by year changed the shape of the power grids and new challenges are considered. Join us in this event to know more about the integration of sustainable energies in different power grids from different views and expertise as part of IES Day joint event between IES Egypt and IES PELS Binghamton (USA). Agenda: [] Virtual: https://events.vtools.ieee.org/m/448787