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A Rapid Learning Model based on Selected Frequency Range Spectral Subtraction for the Data-Driven Fault Diagnosis of Manufacturing Systems |
Seungyon Cho, Hea-Ryeon Seo, Geonhwi Lee, Seung-Kyum Choi, Hae-Jin Choi |
Int. J. Precis. Eng. Manuf.-Smart Tech.. 2023;1(1):49-62. Published online 2023 January 1 DOI: https://doi.org/10.57062/ijpem-st.2022.0031 |
A Rapid Learning Model based on Selected Frequency Range Spectral Subtraction for the Data-Driven Fault Diagnosis of Manufacturing Systems Data‐Driven Methods for Fault Diagnosis A Deep Learning Model with Adaptive Learning Rate for Fault Diagnosis Diagnosis of Stochastic Systems Deep Transfer Learning-Based Intelligent Fault Diagnosis Fault Diagnosis Based on Sensitive SVD and Gaussian Process Latent Variable Model Diagnosis and Fault‐tolerant Control 1 Transfer Learning Based Rolling Bearing Fault Diagnosis A Novel Lazy Learning-based Data Driven Fault Diagnosis Method for Public Transport Vehicles Data-Driven Design of Observer-Based Fault Diagnosis Systems |
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