scholar.google.com › citations
Jan 27, 2021 · This paper proposes a novel multi-region deep architecture to improve abnormal judgement by considering long-range context information in ...
People also ask
What is intelligent fault diagnosis?
What are the techniques used for intelligent fault detection?
What is fault diagnosis using ML?
This paper proposes a novel multi-region deep architecture to improve abnormal judgement by considering long-range context information in increasingly finer ...
Seven commonly used deep learning architectures, especially the emerging generative adversarial network, transformer, and graph neural network, are reviewed.
Intelligent Fault Diagnosis is the application of machine learning theories to automatically recognize the health states of machines, aiming to reduce human ...
Oct 21, 2024 · This study proposes a novel deep neural network framework, termed the Multidimensional Fusion Residual Attention Network (MFRANet), for gearbox fault diagnosis.
Sep 28, 2023 · This work proposes an efficient framework integrating popular convolutional neural networks (CNNs) for IFD based on time-series data by leveraging automated ...
Jun 6, 2024 · The book aims to highlight the potential of deep learning (DL)-enabled methods in intelligent fault diagnosis (IFD), along with their benefits ...
Jan 23, 2023 · This paper tries to give a comprehensive guideline for further research into the problem of intelligent industrial FDP for the community.
This paper introduces a novel parallel deep neural network for fault diagnosis of drilling pumps. It integrates the Convolutional Block Attention Module ...
In this paper, deep learning approaches are introduced for fault diagnosis in electrical submersible pumps (ESP) using raw time-domain data. Three neural ...