Multimodal Large Language Model-Enabled Machine Intelligent Fault Diagnosis Method with Non-Contact Dynamic Vision Data. [PDF]
Lu Z, Sun C, Li X.
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Development of Intelligent Fault Diagnosis Technique of Rotary Machine Element Bearing: A Machine Learning Approach. [PDF]
Saha DK, Hoque ME, Badihi H.
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Intelligent Fault Diagnosis and Forecast of Time-Varying Bearing Based on Deep Learning VMD-DenseNet. [PDF]
Lin SL.
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Intelligent fault diagnosis of rotating machinery based on improved hybrid dilated convolution network for unbalanced samples. [PDF]
Zhang Q +10 more
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Intelligent Fault Diagnosis of Rolling-Element Bearings Using a Self-Adaptive Hierarchical Multiscale Fuzzy Entropy. [PDF]
Yan X, Xu Y, Jia M.
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Intelligent fault diagnosis and operation condition monitoring of transformer based on multi-source data fusion and mining. [PDF]
Cui J, Kuang W, Geng K, Jiao P.
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One-class classification model for intelligent fault diagnosis of mine ventilation systems. [PDF]
Luo W, Zhao Y.
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An Unsupervised Deep Feature Learning Model Based on Parallel Convolutional Autoencoder for Intelligent Fault Diagnosis of Main Reducer. [PDF]
Ye Q, Liu C.
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An intelligent fault diagnosis model for bearings with adaptive hyperparameter tuning in multi-condition and limited sample scenarios. [PDF]
Li J, Huang Z, Jiang L, Zhang Y.
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Intelligent Fault Diagnosis of Hydraulic Piston Pump Based on Wavelet Analysis and Improved AlexNet. [PDF]
Zhu Y +5 more
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