Qing Ni

University of Sydney

Australia

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Articles (11)

Year:

2024

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Collaborators (6)

JC Ji

University of Sydney

AUSTRALIA

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Benjamin John Halkon

University of Sydney

AUSTRALIA

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Michael Beer

GERMANY

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Xiuquan Sun

University of Huddersfield

UNITED KINGDOM

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Fengshou Gu

University of Huddersfield

UNITED KINGDOM

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Asoke K. Nandi

Brunel University London

UNITED KINGDOM

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Qing Ni

Research Interests

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Articles (11)

An Ensemble Domain Adaptation Network With High-Quality Pseudo Labels for Rolling Bearing Fault Diagnosis

IFD-MDCN: Multibranch denoising convolutional networks with improved flow direction strategy for intelligent fault diagnosis of rolling bearings under noisy conditions

A novel vibration-based prognostic scheme for gear health management in surface wear progression of the intelligent manufacturing system

Physics-Informed Residual Network (PIResNet) for rolling element bearing fault diagnostics

A graph-guided collaborative convolutional neural network for fault diagnosis of electromechanical systems

Global contextual feature aggregation networks with multiscale attention mechanism for mechanical fault diagnosis under non-stationary conditions

A rigid-flexible coupled dynamic model of a flip-flow vibrating screen considering the effects of processed materials

Generative adversarial networks driven by multi-domain information for improving the quality of generated samples in fault diagnosis

Digital Twin-driven Focal Modulation-based Convolutional Network for Intelligent Fault Diagnosis

CFCNN: A novel convolutional fusion framework for collaborative fault identification of rotating machinery

Rolling Bearing Fault Diagnosis Based On Convolutional Capsule Network

Collaborators (6)

JC Ji

Benjamin John Halkon

Michael Beer

Xiuquan Sun

Fengshou Gu

Asoke K. Nandi

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