Arrowhead Tools for Engineering of Digitalisation Solutions

Halme, Jari (Manager)
Keränen, Janne Sami (Participant)
Tahkola, Mikko (Participant)
Pippuri-Mäkeläinen, Jenni (Participant)
Farzam Far, Mehrnaz (Participant)

Project: EU project

5 Article
1 Conference Poster

6 results

2024
Adapting Geometry-Based Polygonal Contacts for Simulating Faulty Rolling Bearing Dynamics
Vehviläinen, M., Rahkola, P., Keränen, J., Halme, J., Sopanen, J., Liukkonen, O., Holopainen, A., Tammi, K. & Belahcen, A., Feb 2024, In: Mechanism and Machine Theory. 192, 22 p., 105552.
Research output: Contribution to journal › Article › Scientific › peer-review

Open Access
File
8 Citations (Scopus)

132 Downloads (Pure)
Robust Development of Active Learning-based Surrogates for Induction Motor
Keränen, J., Tahkola, M., Råback, P., Gonzalez, A., Mukherjee, V. & Pippuri-Mäkeläinen, J., 1 Mar 2024, In: IEEE Transactions on Magnetics. 60, 3, p. 1-4 4 p., 8201404.
Research output: Contribution to journal › Article › Scientific › peer-review

Open Access
File
2 Citations (Scopus)

45 Downloads (Pure)
2022
A Novel Machine Learning-Based Approach for Induction Machine Fault Classifier Development—A Broken Rotor Bar Case Study
Tahkola, M., Szücs, Á., Halme, J., Zeb, A. & Keränen, J., 2 May 2022, In: Energies. 15, 9, 23 p., 3317.
Research output: Contribution to journal › Article › Scientific › peer-review

Open Access
File
7 Citations (Scopus)

57 Downloads (Pure)
Transient Modeling of Induction Machine Using Artificial Neural Network Surrogate Models
Tahkola, M., Mukherjee, V. & Keränen, J., 1 Sept 2022, In: IEEE Transactions on Magnetics. 58, 9, 4 p., 7402204.
Research output: Contribution to journal › Article › Scientific › peer-review

Open Access
6 Citations (Scopus)
Transient Modelling of Induction Machine Using Artificial Neural Networks
Tahkola, M., Mukherjee, V. & Keränen, J., 18 Jan 2022.
Research output: Contribution to conference › Conference Poster › Scientific
2020
Surrogate Modeling of Electrical Machine Torque Using Artificial Neural Networks
Tahkola, M., Keränen, J., Sedov, D., Farzam Far, M. & Kortelainen, J., 7 Dec 2020, In: IEEE Access. 8, p. 220027-220045
Research output: Contribution to journal › Article › Scientific › peer-review

Open Access
File
20 Citations (Scopus)

413 Downloads (Pure)

Arrowhead Tools for Engineering of Digitalisation Solutions

Research output

Search results

Adapting Geometry-Based Polygonal Contacts for Simulating Faulty Rolling Bearing Dynamics

Robust Development of Active Learning-based Surrogates for Induction Motor

A Novel Machine Learning-Based Approach for Induction Machine Fault Classifier Development—A Broken Rotor Bar Case Study

Transient Modeling of Induction Machine Using Artificial Neural Network Surrogate Models

Transient Modelling of Induction Machine Using Artificial Neural Networks

Surrogate Modeling of Electrical Machine Torque Using Artificial Neural Networks