When? Tuesday December 1st, 2020 - 13:00 - 15:00
Many companies operate a multitude of (nearly identical) machines, such as wind turbines, compressors or professional vehicles, and are able to continuously monitor the operation of these machines thanks to ever-ongoing evolutions in sensor, communication and data storage technologies. The ability to compare an asset against its peers makes it possible to better distinguish the physical performance and characteristics of the asset from the influence of its operational environment, allowing for identification of underperformance, misconfigurations, and impending failures. Companies which are able to fully leverage the capabilities of data analytics can achieve better actionable insights and significant operational efficiency improvements.
In this webinar, we will zoom in on how to leverage data to reliably benchmark asset performance. Several methods will be presented to compare assets in terms of operational performance, for which their main advantages and disadvantages will be explained in detail, as well as the most important data characteristics and parameters to take into account. The techniques will be illustrated by real-world industrial case studies, showing how the methods can be used to highlight performance trends, detect underperforming assets and identify anomalous operating behavior.
The working language for this session is English.
275 EUR (exclusive of VAT)
Registration can be done by filling in the registration form
Our general terms and conditions
Any cancellation has to be made by e-mail (email@example.com). Cancellations made up to the day before the webinar are free of charge. In case of cancellation the day itself, the full amount of the registration will be due. In case of 'no-show' the full amount of the registration fee will be due too. Replacement by a colleague is always possible if notified in advance by e-mail (firstname.lastname@example.org).
This webinar is organised in the context of the AI Research Program (Onderzoeksprogramma Artificiële Intelligentie (AI) Vlaanderen) with support from the Flemish Government.