Posters
Come meet the poster presenters to ask them questions and discuss their work
We would like to invite you to come and see the posters at our upcoming conference. The posters will showcase a diverse range of research topics, and will give delegates an opportunity to engage with the authors and learn more about their work. Whether you are a seasoned researcher or simply curious about the latest developments in your field, we believe that the posters will offer something of interest to everyone. So please join us at the conference and take advantage of this opportunity to learn and engage with your peers in the academic community. We look forward to seeing you there!
PO263: Deployment of Machine Learning algorithms with Human-In-The-Loop for reliability focused maintenance predictions
Dirk Oehlmann, Business Development Manager Cloud Solutions, GreenPowerMonitor
Abstract
Operators and owners of large Renewable Energy (RE) portfolios require innovative tools to efficiently operate and maintain the assets, monitor their performance and improve reliability. The time and expertise requirements to perform manual checks of each individual asset becomes prohibitive to do so at scale - automation is required. To this effect, certain processes can be checked automatically using digital representations of assets using statistical methods - i.e. Machine Learning (ML) models, and readily available 10-min resolution SCADA data and condition monitoring system (CMS) vibration data (e.g. time series and pre-computed vibration frequency spectra). However, to increase efficacy, accuracy and buy-in from operators and owners, GreenPowerMonitor (GPM), a DNV company, enrich the ML findings by Human-In-The-Loop (HITL) expertise of both the data-science and physical modelled machinery allowing reliability focussed maintenance predictions. In this study, the authors present the outcomes and learnings of an integration of a Predictive Maintenance Analytics (PMA) system with the Swiss asset owner/operator BKW Energie AG (BKW). BKW is an international energy and infrastructure company offering integrated services in the field of energy, building and infrastructure to Clients in Switzerland and other European Countries (Italy, Germany, France, Norway, Sweden). BKW is actively involved in the ownership, Technical and Commercial management (TCM) and Operations & Maintenance (O&M) of its wind portfolio. The deployed PMA system is an automated diagnostic service offering. The study offers guidance on what did and didn't work in an effort to support wider deployment of such systems in the wind industry.
