Active learning for new-fault class sample recovery in electrical submersible pump fault diagnosis

Author:

Silva Luciano Henrique Peixoto daORCID,Mello Lucas Henrique SousaORCID,Rodrigues AlexandreORCID,Varejão Flávio MiguelORCID,Ribeiro Marcos Pellegrini,Oliveira-Santos ThiagoORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference31 articles.

1. Bearing fault diagnosis based on active learning and random forest;Chen,2015

2. An active learning method based on uncertainty and complexity for gearbox fault diagnosis;Chen;IEEE Access,2019

3. Danka, T., & Horvath, P. (2018). modAL: A modular active learning framework for Python, URL: https://github.com/modAL-python/modAL, Available on arXiv at https://arxiv.org/abs/1805.00979.

4. Exploring representativeness and informativeness for active learning;Du;IEEE Transactions on Cybernetics,2017

5. Task-sequencing meta learning for intelligent few-shot fault diagnosis with limited data;Hu;IEEE Transactions on Industrial Informatics,2022

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