People | Intelligent Techniques in Condition Monitoring of Electromechanical Energy Conversion Systems

Principal Investigator

Tatiana Minav

Associate Professor
Hybrid Drives
Faculty of Engineering and Natural Sciences
Tampere University
+358505940496
tatiana.minav@tuni.fi

Can be agreed via email
https://orcid.org/0000-0001-6370-3473

About me

Prof. T. Minav, (PI, D.Sc. (Tech.)) is part of the IHA-Innovative hydraulics and Automation unit at Tampere University/Finland. She has received a Doctor of Science degree (D.Sc.) from Lappeenranta University of Technology (LUT) in 2011. She is an expert in electro-hydrostatic systems and actuators, cylinder’s sensorless position motion control, simulation, energy balance, and energy recovery systems in non-road mobile machinery. During her academic career, she worked and lead industrial projects funded by Business Finland (former Tekes) and by the Academy of Finland) related to the electrification of off-road machinery and its implements.

Field of expertise

Expertise description

Design of novel electric and hybrid powertrains for off-road machinery
Electrification of implements/working hydraulics and actuators e.g Zonal hydraulics
Energy balance and energy recovery systems in non-road mobile working machines.
Component selection and dimensioning
Failure and condition monitoring, predictive maintenance systems
Thermal hydraulics simulation

Research topics

Zonal hydraulics, Direct driven hydraulic drives, electrci and hybrid powertrains for off-road machinery and stationary applications

Research unit

IHA - Innovative Hydraulics and Automation

Research fields

Electrical and Mechanical engineering

Project links

Top achievements

So far, I have authored in a total of 110 scientific publications. I am the first author of 39 of these publications comprising 15 peer-reviewed journal articles, 2 book chapters, and 22 conference proceedings ( number of open access publications 8). My H-index is 16 (according to Google scholar) and 10 (according to Scopus). In 2013, I changed the research environment and field from electric engineering to mechanical engineering (fluid power). In 2015, I added a parallel research topic with a focus on thermal study for arctic conditions.

Funding

Own links

Doctoral Researchers

Other Consoritum Parties

Anouar Belahcen

Professor
Department of Electrical Engineering and Automation
Aalto University
+358504602366
anouar.belahcen@aalto.fi

https://orcid.org/0000-0003-2154-8692

More information

About me

I do research in the field of magnetic materials modelling and numerical analysis of energy conversion devices. My interests are the losses in electrical machines, model order reduction methods, Multi-scale modelling of electrical steel, diagnosis and condition monitoring of electrical machines, magnetomechanics, and noise and vibrations, among others

Responsibilities

Consortium Director of Project ESTV

Research unit

Computational Electromechanics

Research fields

Electrical Machines, Electromagnetic field computation, Magnetic material modelling, Magnetostriction, Magneto-elasticity, Energy conversion, 213 Electronic, automation and communications engineering, electronics, Electrical engineering, Electric power engineering, Metals, Computational science

Alexander Jung

Assistant Professor
Machine Learning
Department of Computer Science
Aalto University
alex.jung@aalto.fi

https://orcid.org/0000-0001-7538-0990

More information

About me

I’m interested in any aspect of machine learning for big data applications. Particular focus is given on sparse models (compressed sensing) and on the effects of constraints on computational complexity and communication requirements of the implemented learning algorithms. Recent work considers the fundamental limits of and practical methods for dictionary learning and graphical model selection for high-dimensional processes.

Janne Keränen

Senior Scientist
Digital Engineering, Electrical powertrains and storage
VTT Technical Research Centre of Finland Ltd
+358407759832

https://orcid.org/0000-0003-1195-0856

More information

About me

Specialist in numerical modeling and developing the numerical methods. Especially interested in electromagnetic, multi-physical and data-based modeling and different electromagnetic and electrical powertrain applications.

Field of expertise

Electrical machines, electrical powertrains, electrical vehicles, electromechanics, electromagnetic actuators, transformers, magnetic levitation, induction heating, induction charging, EV charging, etc.

Research fields

Numerical computation, developing numerical methods, applied mathematics, electromagnetics, electrical machines, electrical powertrains, application of machine learning.

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