Multi-Filter Clustering Fusion for Feature Selection in Rotating Machinery Fault Classification. [PDF]
Mochammad S +5 more
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Dynamic Noise Reduction with Deep Residual Shrinkage Networks for Online Fault Classification. [PDF]
Salimy A +4 more
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Deep Learning Based Superconducting Radio-Frequency Cavity Fault Classification at Jefferson Laboratory. [PDF]
Vidyaratne L +6 more
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A Bearing Fault Classification Framework Based on Image Encoding Techniques and a Convolutional Neural Network under Different Operating Conditions. [PDF]
Toma RN +6 more
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Mixed Fault Classification of Sensorless PMSM Drive in Dynamic Operations Based on External Stray Flux Sensors. [PDF]
Attestog S +3 more
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The importance of selecting the optimal number of principal components for fault detection using principal component analysis [PDF]
Includes summary.Includes bibliographical references.Fault detection and isolation are the two fundamental building blocks of process monitoring. Accurate and efficient process monitoring increases plant availability and utilization.
Khwambala, Patricia Helen
core
A Rolling Bearing Fault Classification Scheme Based on k-Optimized Adaptive Local Iterative Filtering and Improved Multiscale Permutation Entropy. [PDF]
Zhang Y, Lv Y, Ge M.
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Comparative analysis of deep learning algorithms for rolling element bearing fault classification under variable loads and speeds. [PDF]
Vishal P +4 more
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A fault classification scheme based on protective agents for microgrid with parameters impact analysis. [PDF]
Esmaeilbeigi S +2 more
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Self-aligning ball bearing fault classification using selective kernel modules in resnext architecture. [PDF]
Ajani A, Ashraf SP, T NB.
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