Novel ARMF Integrated with Improved LSDA and Its Application in Fault Diagnosis
Author:
Affiliation:
1. College of Information Science and Technology (CIST), Beijing University of Chemical Technology (BUCT),Beijing,China,100029
Funder
National Natural Science Foundation (NNSF) of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9858328/9858343/09858537.pdf?arnumber=9858537
Reference15 articles.
1. A Novel Monitoring Strategy Combining the Advantages of NPE and GMM
2. Locality Sensitive Discriminant Analysis for Group Sparse Representation-Based Hyperspectral Imagery Classification
3. Fault Description Based Attribute Transfer for Zero-Sample Industrial Fault Diagnosis
4. Fault diagnosis using pattern classification based on one-dimensional adaptive rank-order morphological filter
5. Novel Pattern-Matching Integrated KCVA with Adaptive Rank-Order Morphological Filter and Its Application to Fault Diagnosis
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1. A New Hyperspectral Image Identification Method Based on LSDA and OSELM;Modelling and Simulation in Engineering;2024-01
2. Adaptive Multiscale Convolution Manifold Embedding Networks for Intelligent Fault Diagnosis of Servo Motor-Cylindrical Rolling Bearing Under Variable Working Conditions;IEEE/ASME Transactions on Mechatronics;2023
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