Contact Share
Share Dataverse

Share this dataverse on your favorite social media networks.

Featured Dataverses

In order to use this feature you must have at least one published dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Find Advanced Search

Search results

Thumbnail of dataset Research on development of a universal diagnostic system for stator winding faults of induction motor and PMSM based on transfer learning.
DatasetResearch on development of a universal diagnostic system for stator winding faults of induction motor and PMSM based on transfer learning.
Feb 15, 2024

Skowron, Maciej, 2024, "Research on development of a universal diagnostic system for stator winding faults of induction motor and PMSM based on transfer learning.", https://doi.org/10.18150/XXY49N, RepOD, V1

Thumbnail of dataset Research on fault diagnostics of permanent magnet synchronous motors based on deep neural networks and transfer learning.
DatasetResearch on fault diagnostics of permanent magnet synchronous motors based on deep neural networks and transfer learning.
Feb 15, 2024

Skowron, Maciej, 2024, "Research on fault diagnostics of permanent magnet synchronous motors based on deep neural networks and transfer learning.", https://doi.org/10.18150/ZX3HB2, RepOD, V1

Thumbnail of dataset Analysis of the precision of PMSM short-circuit detection systems using transfer learning of deep convolutional networks
DatasetAnalysis of the precision of PMSM short-circuit detection systems using transfer learning of deep convolutional networks
Feb 15, 2024

Skowron, Maciej, 2024, "Analysis of the precision of PMSM short-circuit detection systems using transfer learning of deep convolutional networks", https://doi.org/10.18150/TTZMEK, RepOD, V1

Thumbnail of dataset Impact of the convolutional neural network structure and training parameters on the effectiveness of the diagnostic systems of modern AC motor drives
DatasetImpact of the convolutional neural network structure and training parameters on the effectiveness of the diagnostic systems of modern AC motor drives
Feb 15, 2024

Skowron, Maciej, 2024, "Impact of the convolutional neural network structure and training parameters on the effectiveness of the diagnostic systems of modern AC motor drives", https://doi.org/10.18150/CPOAEQ, RepOD, V1

Thumbnail of dataset Diagnosis of stator winding and permanent magnet faults of PMSM drive using shallow and deep neural networks
DatasetDiagnosis of stator winding and permanent magnet faults of PMSM drive using shallow and deep neural networks
Feb 15, 2024

Skowron, Maciej, 2024, "Diagnosis of stator winding and permanent magnet faults of PMSM drive using shallow and deep neural networks", https://doi.org/10.18150/HQ4X9V, RepOD, V1

DatasetData for the article entitled: Layered PCL scaffolds modified with bioactive additives fabricated by electrospinning and 3D-printing for the nasal bone and cartilage defects
Jan 22, 2024 - DataverseUniwersytet Bielsko-Bialski

Rajzer, Izabella; Kurowska, Anna; Nikodem, Anna; Zagrajczuk, Barbara; Ziąbka, Magdalena, 2024, "Data for the article entitled: Layered PCL scaffolds modified with bioactive additives fabricated by electrospinning and 3D-printing for the nasal bone and cartilage defects", https://doi.org/10.18150/1JW6KY, RepOD, V1

DatasetData for article entitled: Amplification of femtosecond pulses with AI-assisted spectral phase modulation
Jan 3, 2024

Soboń, Grzegorz, 2024, "Data for article entitled: Amplification of femtosecond pulses with AI-assisted spectral phase modulation", https://doi.org/10.18150/K2D3AA, RepOD, V2

DatasetResearch on the efficiency of stator current fault compenstation method based on a modified Luenberger observer for induction motor drive
Nov 10, 2023

Orłowska-Kowalska, Teresa; Adamczyk, Michał, 2023, "Research on the efficiency of stator current fault compenstation method based on a modified Luenberger observer for induction motor drive", https://doi.org/10.18150/1HP7UB, RepOD, V1

DatasetResearch on on-line current sensor fault classification using shallow neural networks
Nov 10, 2023

Orłowska-Kowalska, Teresa; Skowron, Maciej; Adamczyk, Michał; Teler, Krystian, 2023, "Research on on-line current sensor fault classification using shallow neural networks", https://doi.org/10.18150/1NPH3S, RepOD, V1

DatasetResearch on current sensor fault classification using multilayer perceptron neural network
Nov 10, 2023

Orłowska-Kowalska, Teresa; Skowron, Maciej; Adamczyk, Michał; Teler, Krystian, 2023, "Research on current sensor fault classification using multilayer perceptron neural network", https://doi.org/10.18150/FCOMZI, RepOD, V1

Add Data

You need to Log In/Sign Up to create a dataverse or add a dataset.

Link Dataverse