Xuefeng Chen frequently studies issues relating to Artificial intelligence and Pattern recognition (psychology). As part of his studies on Artificial intelligence, Xuefeng Chen often connects relevant areas like Pattern recognition (psychology). While working in this field, Xuefeng Chen studies both Fault (geology) and Seismology. His work often combines Seismology and Fault (geology) studies. He combines Algorithm and Computer vision in his studies. Xuefeng Chen undertakes multidisciplinary investigations into Computer vision and Algorithm in his work. In his works, he conducts interdisciplinary research on Mathematical optimization and Lagrange multiplier. Xuefeng Chen merges many fields, such as Lagrange multiplier and Mathematical optimization, in his writings. His research on Nuclear magnetic resonance frequently links to adjacent areas such as Stacking.
Xuefeng Chen is involved in relevant fields of research such as Minimax, Penalty method and Minification in the realm of Mathematical optimization. His study ties his expertise on Mathematical optimization together with the subject of Minification. Many of his studies involve connections with topics such as Feature extraction and Artificial intelligence. While working on this project, Xuefeng Chen studies both Seismology and Fault (geology). In his research, he undertakes multidisciplinary study on Fault (geology) and Seismology. His Pattern recognition (psychology) study frequently involves adjacent topics like Artificial intelligence. Xuefeng Chen regularly links together related areas like Sparse approximation in his Algorithm studies. Much of his study explores Sparse approximation relationship to Algorithm. He integrates many fields, such as Programming language and SIGNAL (programming language), in his works.
Xuefeng Chen links relevant scientific disciplines such as Classifier (UML) and Test data in the realm of Programming language. His Classifier (UML) study frequently intersects with other fields, such as Programming language. In his works, he undertakes multidisciplinary study on Artificial intelligence and Test set. His Calibration research extends to Quantum mechanics, which is thematically connected. His work on Calibration is being expanded to include thematically relevant topics such as Quantum mechanics. His Operating system study frequently draws connections between related disciplines such as Encoder. Xuefeng Chen performs integrative Encoder and Rotary encoder research in his work. His research brings together the fields of Operating system and Rotary encoder. Xuefeng Chen connects Optics with Grating in his research.
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Wavelets for fault diagnosis of rotary machines: A review with applications
Ruqiang Yan;Robert X. Gao;Xuefeng Chen.
Signal Processing (2014)
Artificial intelligence for fault diagnosis of rotating machinery: A review
Ruonan Liu;Boyuan Yang;Enrico Zio;Enrico Zio;Xuefeng Chen.
Mechanical Systems and Signal Processing (2018)
A sparse auto-encoder-based deep neural network approach for induction motor faults classification
Wenjun Sun;Siyu Shao;Rui Zhao;Ruqiang Yan;Ruqiang Yan.
Generator bearing fault diagnosis for wind turbine via empirical wavelet transform using measured vibration signals
Jinglong Chen;Jun Pan;Zipeng Li;Yanyang Zi.
Renewable Energy (2016)
Multi-fault classification based on wavelet SVM with PSO algorithm to analyze vibration signals from rolling element bearings
Zhiwen Liu;Hongrui Cao;Xuefeng Chen;Zhengjia He.
New clustering algorithm-based fault diagnosis using compensation distance evaluation technique
Yaguo Lei;Zhengjia He;Yanyang Zi;Xuefeng Chen.
Mechanical Systems and Signal Processing (2008)
Deep Transfer Learning Based on Sparse Autoencoder for Remaining Useful Life Prediction of Tool in Manufacturing
Chuang Sun;Meng Ma;Zhibin Zhao;Shaohua Tian.
IEEE Transactions on Industrial Informatics (2019)
Convolutional Discriminative Feature Learning for Induction Motor Fault Diagnosis
Wenjun Sun;Rui Zhao;Ruqiang Yan;Siyu Shao.
IEEE Transactions on Industrial Informatics (2017)
Matching Demodulation Transform and SynchroSqueezing in Time-Frequency Analysis
Shibin Wang;Xuefeng Chen;Gaigai Cai;Binqiang Chen.
IEEE Transactions on Signal Processing (2014)
Study of frequency-shifted and re-scaling stochastic resonance and its application to fault diagnosis
Jiyong Tan;Xuefeng Chen;Junying Wang;Huaxin Chen.
Mechanical Systems and Signal Processing (2009)
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