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Noise-Boosted Convolutional Neural Network for Edge-Based Motor Fault Diagnosis With Limited Samples

https://doi.org/10.1109/tii.2022.3228902
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Outgoing claims: the papers this work cites, builds on, or argues with.

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Remaining useful life prediction based on intentional noise injection and feature reconstruction
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Sparsity-Based Algorithm for Condition Assessment of Rotating Machinery Using Internal Encoder Data
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A New Reinforcement Learning Based Learning Rate Scheduler for Convolutional Neural Network in Fault Classification
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Location Privacy Protection Based on Differential Privacy Strategy for Big Data in Industrial Internet of Things
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Deep Coupling Autoencoder for Fault Diagnosis With Multimodal Sensory Data
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What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Feature Size Reduction in Machine Learning Models Using Pyramid Training
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A fault diagnosis method for permanent magnet synchronous motors based on adaptive weighted dual-channel parallelism
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A frequency-adaptive and interpretable neural network for intelligent fault diagnosis of high-speed motor bearings
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IACGAN-ST: A Fault Diagnosis Method for Scraper Conveyor Bearings Under Imbalanced Data Conditions
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Edge Computing-Enhanced Cross-Domain Fault Diagnosis Using the Lightweight Spatial Pyramid Network
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Recurrent Attentional Reinforcement Learning for Fault Diagnosis of Hydraulic System
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Edge Computing on IoT for Machine Signal Processing and Fault Diagnosis: A Review
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Defect Detection Using Shuffle Net-CA-SSD Lightweight Network for Turbine Blades in IoT
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Real-Time Diagnosis of Multiple Open-Circuit Faults in ANPC Inverters Based on Lightweight Deployment of Edge 2D-CNN
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An Intelligent Fault Diagnosis Method Enhanced by Noise Injection for Machinery
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SDMC-Net: A Lightweight and Deployable Fault Diagnosis Network Using Self-Distillation and Multiscale-Depth Convolution
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Online Open-Circuit Fault Diagnosis for ANPC Inverters Using Edge-Based Lightweight Two-Dimensional CNN
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A Novel Thermal Analysis Method for Tubular PM Linear Motors Based on Transfer Learning
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Demagnetization Fault Diagnosis of a Permanent Magnet Synchronous Linear Motor Based on Noisy-KAN on an Edge Computing System
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Positive-incentive noise in artificial intelligence-enabled machine fault diagnosis
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Hierarchical-injected noise-enhanced convolutional neural network for rolling bearing fault diagnosis under limited training samples
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A lightweight fault diagnosis model for planetary gearbox using domain adaptation and model compression
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