Search Results - "Tahkola, Mikko"

ATSC-NEX: Automated Time Series Classification With Sequential Model-Based Optimization and Nested Cross-Validation by Tahkola, Mikko, Guangrong, Zou

“…New methods to perform time series classification arise frequently and multiple state-of-the-art approaches achieve high performance on benchmark datasets with…”
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Robust Development of Active Learning-based Surrogates for Induction Motor by Keranen, Janne, Tahkola, Mikko, Raback, Peter, Gonzalez, Alvaro, Mukherjee, Victor, Pippuri-Makelainen, Jenni

“…A robust open-source cloud-based workflow is developed for finite element (FE) data generation for active learning (AL) -based surrogate modelling. Special…”
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A Novel Machine Learning-Based Approach for Induction Machine Fault Classifier Development—A Broken Rotor Bar Case Study by Tahkola, Mikko, Szücs, Áron, Halme, Jari, Zeb, Akhtar, Keränen, Janne

“…Rotor bars are one of the most failure-critical components in induction machines. We present an approach for developing a rotor bar fault identification…”
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Surrogate Modeling of Electrical Machine Torque Using Artificial Neural Networks by Tahkola, Mikko, Keranen, Janne, Sedov, Denis, Far, Mehrnaz Farzam, Kortelainen, Juha

“…Machine learning and artificial neural networks have shown to be applicable in modeling and simulation of complex physical phenomena as well as creating…”
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Transient Modeling of Induction Machine Using Artificial Neural Network Surrogate Models by Tahkola, Mikko, Mukherjee, Victor, Keranen, Janne

“…A transient model of an induction machine (IM) is developed in this work using an artificial neural network (ANN) surrogate model. The model is suitable to be…”
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3D Multibody Simulation of Realistic Rolling Bearing Defects for Fault Classifier Development by Vehvilainen, Milla, Tahkola, Mikko, Keranen, Janne, El Bouharrouti, Nada, Rahkola, Pekka, Halme, Jari, Pippuri-Makelainen, Jenni, Belahcen, Anouar

“…Rolling bearing faults stand out as the most prevalent type of fault in electrical machines. In this study, we leveraged geometry-based 3D multibody simulation…”
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