On behalf of ESTV project and academic partners (Aalto University and VTT), It is a great pleasure to invite you to the Midway Seminar ” Intelligent Techniques in Condition Monitoring of Electromechanical Energy Conversion Systems”, which will be held on Friday, January 13, 2023, at Tampere University (Hervanta Campus), Finland.
The seminar will be organized and hosted by Innovative Hydraulics and Automation (IHA) at Tampere University (TAU), Finland.
Condition monitoring of electromechanical energy conversion systems, such as electric vehicles, wind turbines, or hydraulic units, is of great significance. A failure in any part of the system can incur considerable economical losses or might endanger the safety of the humans and the environment.
To automate the condition monitoring of these systems, high-dimensional non-linear models such as artificial deep neural networks, random forests, or networked exponential families are investigated. These methods are generally data-hungry, however, intelligent techniques such as transfer learning and data augmentation are applied to overcome these challenges.
ESTV research project concentrates on developing modern artificial intelligence-based methods for condition monitoring of electro-hydraulic systems. To ensure safe and efficient operation of these systems, it is essential to predict their incipient faulty operations at an early stage.
In seminar you will learn:
The challenges of implementing condition monitoring in electro-hydraulic systems
How to minimize the use of sensors?
The advantages of data collection and cloud storage usage
How robust are simulation models to generate real data ?
Sounds interesting? To participate, simply click on your personal registration link:
When? On January 13th, 2023 at
11:45 am Coffee Served
12:00 - 14:00 pm Seminar and Q&A Session (English language)
14:00 - 15:00 pm IHA lab visit (optional)
Where? Room 1703, Korkeakoulunkatu 6, Tampere, Finland
Your contact person for questions:
Tenure-track Professor firstname.lastname@example.org
P. +358 50 5940 496