يعرض 1 - 20 نتائج من 222 نتيجة بحث عن '"Chun‐Yao Lee"', وقت الاستعلام: 0.55s تنقيح النتائج
  1. 1
    Academic Journal
    Wind energy system fault classification and detection using deep convolutional neural network and particle swarm optimization‐extreme gradient boosting

    المؤلفون: Chun‐Yao Lee, Edu Daryl C. Maceren

    المصدر: IET Energy Systems Integration, Vol 6, Iss 4, Pp 479-497 (2024)

    مصطلحات موضوعية: fault diagnosis, optimisation, particle swarm optimisation, regression analysis, wind power plants, Production of electric energy or power. Powerplants. Central stations, TK1001-1841, Energy industries. Energy policy. Fuel trade, HD9502-9502.5

    وصف الملف: electronic resource

    Relation: https://doaj.org/toc/2516-8401

    URL الوصول: https://doaj.org/article/1c74553b63514aadac5c25ead266cfd5

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  2. 2
    Academic Journal
    Universal domain adaptation for machinery fault diagnosis based on multi‐scale dual attention network and entropy‐based clustering

    المؤلفون: Chun‐Yao Lee, Guang‐Lin Zhuo

    المصدر: IET Science, Measurement & Technology, Vol 18, Iss 9, Pp 591-602 (2024)

    مصطلحات موضوعية: artificial intelligence, fault diagnosis, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

    وصف الملف: electronic resource

    Relation: https://doaj.org/toc/1751-8822; https://doaj.org/toc/1751-8830

    URL الوصول: https://doaj.org/article/de158986179b41beaf89d3745195d7d6

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  3. 3
    Academic Journal
    Wind energy system fault classification using deep CNN and improved PSO‐tuned extreme gradient boosting

    المؤلفون: Chun‐Yao Lee, Edu Daryl C. Maceren

    المصدر: IET Renewable Power Generation, Vol 18, Iss 14, Pp 2496-2511 (2024)

    مصطلحات موضوعية: fault diagnosis, neural nets, particle swarm optimisation, wind turbine technology and control, Renewable energy sources, TJ807-830

    وصف الملف: electronic resource

    Relation: https://doaj.org/toc/1752-1416; https://doaj.org/toc/1752-1424

    URL الوصول: https://doaj.org/article/4260ae2e9872447fb9f6437b1e644691

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  4. 4
    Academic Journal
    Application of symmetric uncertainty and emperor penguin–grey wolf optimisation for feature selection in motor fault classification

    المؤلفون: Chun‐Yao Lee, Truong‐An Le, Wei‐Lun Chien, Shih‐Che Hsu

    المصدر: IET Electric Power Applications, Vol 18, Iss 10, Pp 1107-1121 (2024)

    مصطلحات موضوعية: fault diagnosis, feature extraction, feature selection, induction motors, Matlab, Applications of electric power, TK4001-4102

    وصف الملف: electronic resource

    Relation: https://doaj.org/toc/1751-8660; https://doaj.org/toc/1751-8679

    URL الوصول: https://doaj.org/article/4988f3f11e544c5d8e8e030698fe03a2

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  5. 5
    Academic Journal
    Induction motor bearing fault classification using deep neural network with particle swarm optimization‐extreme gradient boosting

    المؤلفون: Chun‐Yao Lee, Edu Daryl C. Maceren

    المصدر: IET Electric Power Applications, Vol 18, Iss 3, Pp 297-311 (2024)

    مصطلحات موضوعية: fault currents, feature extraction, feedforward neural nets, induction motors, rolling bearings, vibrational signal processing, Applications of electric power, TK4001-4102

    وصف الملف: electronic resource

    Relation: https://doaj.org/toc/1751-8660; https://doaj.org/toc/1751-8679

    URL الوصول: https://doaj.org/article/229ac409d8524390b07469c1ae12a939

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  6. 6
    Academic Journal
    Identifying Bearing Faults Using Multiscale Residual Attention and Multichannel Neural Network

    المؤلفون: Chun-Yao Lee, Guang-Lin Zhuo

    المصدر: IEEE Access, Vol 11, Pp 26953-26963 (2023)

    مصطلحات موضوعية: Convolutional neural network (CNN), bearing fault diagnosis, multi-scale feature extraction, multi-channel network, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

    وصف الملف: electronic resource

    Relation: https://ieeexplore.ieee.org/document/10068499/; https://doaj.org/toc/2169-3536

    URL الوصول: https://doaj.org/article/f3b407289f7d4747a006343f84364dc8

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  7. 7
    Academic Journal
    A Feature Selection Approach Based on Memory Space Computation Genetic Algorithm Applied in Bearing Fault Diagnosis Model

    المؤلفون: Chun-Yao Lee, Truong-An Le, Chun-Lin Hung

    المصدر: IEEE Access, Vol 11, Pp 51282-51295 (2023)

    مصطلحات موضوعية: Rotating machine, bearing fault diagnosis model, feature selection method, genetic algorithm, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

    وصف الملف: electronic resource

    Relation: https://ieeexplore.ieee.org/document/10121764/; https://doaj.org/toc/2169-3536

    URL الوصول: https://doaj.org/article/67a9024e81924a69abb0350d98af86b2

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  8. 8
    Academic Journal
    Application of Salp Swarm Algorithm and Extended Repository Feature Selection Method in Bearing Fault Diagnosis

    المؤلفون: Chun-Yao Lee, Truong-An Le, Yung-Chi Chen, Shih-Che Hsu

    المصدر: Mathematics, Vol 12, Iss 11, p 1718 (2024)

    مصطلحات موضوعية: bearing fault diagnosis, feature extraction, feature selection, machine learning, salp swarm algorithm, Mathematics, QA1-939

    وصف الملف: electronic resource

    Relation: https://www.mdpi.com/2227-7390/12/11/1718; https://doaj.org/toc/2227-7390

    URL الوصول: https://doaj.org/article/095cb55a8acf4948a23082878170157d

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  9. 9
    Academic Journal
    Intelligent Fault Diagnosis for BLDC With Incorporating Accuracy and False Negative Rate in Feature Selection Optimization

    المؤلفون: Chun-Yao Lee, Chen-Hsu Hung, Truong-An Le

    المصدر: IEEE Access, Vol 10, Pp 69939-69949 (2022)

    مصطلحات موضوعية: Brushless DC, differential evolution, fault diagnosis, feature selection, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

    وصف الملف: electronic resource

    Relation: https://ieeexplore.ieee.org/document/9808149/; https://doaj.org/toc/2169-3536

    URL الوصول: https://doaj.org/article/c2cb806b76434703a8d97d306c3207a4

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  10. 10
    Academic Journal
    A Feature Selection Approach Hybrid Grey Wolf and Heap-Based Optimizer Applied in Bearing Fault Diagnosis

    المؤلفون: Chun-Yao Lee, Truong-An Le, Yu-Ting Lin

    المصدر: IEEE Access, Vol 10, Pp 56691-56705 (2022)

    مصطلحات موضوعية: Bearing fault diagnosis, feature selection, grey wolf optimizer, heap-based optimizer, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

    وصف الملف: electronic resource

    Relation: https://ieeexplore.ieee.org/document/9782872/; https://doaj.org/toc/2169-3536

    URL الوصول: https://doaj.org/article/30d09eda981c4f8d977fb403acf750b6

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  11. 11
    Academic Journal
    Identifying Faults of Rolling Element Based on Persistence Spectrum and Convolutional Neural Network With ResNet Structure

    المؤلفون: Chun-Yao Lee, Truong-An Le

    المصدر: IEEE Access, Vol 9, Pp 78241-78252 (2021)

    مصطلحات موضوعية: Bearing fault diagnosis, convolutional neural network, persistence spectrum, ResNet, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

    وصف الملف: electronic resource

    Relation: https://ieeexplore.ieee.org/document/9440432/; https://doaj.org/toc/2169-3536

    URL الوصول: https://doaj.org/article/0fa6c3343dc144b9a56d4f0a5368cb72

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  12. 12
    Academic Journal
    An Enhanced Binary Particle Swarm Optimization for Optimal Feature Selection in Bearing Fault Diagnosis of Electrical Machines

    المؤلفون: Chun-Yao Lee, Truong-An Le

    المصدر: IEEE Access, Vol 9, Pp 102671-102686 (2021)

    مصطلحات موضوعية: Bearing fault diagnosis, feature extraction, feature selection, binary particle swarm optimization, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

    وصف الملف: electronic resource

    Relation: https://ieeexplore.ieee.org/document/9490264/; https://doaj.org/toc/2169-3536

    URL الوصول: https://doaj.org/article/a64cc70e89c34a59b8d9ba15e944d086

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  13. 13
    Academic Journal
    Induction Motor Fault Classification Based on ROC Curve and t-SNE

    المؤلفون: Chun-Yao Lee, Wen-Cheng Lin

    المصدر: IEEE Access, Vol 9, Pp 56330-56343 (2021)

    مصطلحات موضوعية: ROC, t-SNE, motor failure, ReliefF, SU, FCBF, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

    وصف الملف: electronic resource

    Relation: https://ieeexplore.ieee.org/document/9400817/; https://doaj.org/toc/2169-3536

    URL الوصول: https://doaj.org/article/9f1379542140404b9b719477f2511166

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  14. 14
    Academic Journal
    Application of Hybrid Model between the Technique for Order of Preference by Similarity to Ideal Solution and Feature Extractions for Bearing Defect Classification

    المؤلفون: Chun-Yao Lee, Truong-An Le, Chung-Yao Chang

    المصدر: Mathematics, Vol 11, Iss 6, p 1442 (2023)

    مصطلحات موضوعية: bearing fault diagnosis, feature selection, TOPSIS, feature extraction, Mathematics, QA1-939

    وصف الملف: electronic resource

    Relation: https://www.mdpi.com/2227-7390/11/6/1442; https://doaj.org/toc/2227-7390

    URL الوصول: https://doaj.org/article/3c15912c14714c0abd9caa6dba28fd97

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  15. 15
    Academic Journal
    Intelligence Bearing Fault Diagnosis Model Using Multiple Feature Extraction and Binary Particle Swarm Optimization With Extended Memory

    المؤلفون: Chun-Yao Lee, Truong-An Le

    المصدر: IEEE Access, Vol 8, Pp 198343-198356 (2020)

    مصطلحات موضوعية: Fault diagnosis, feature extraction, feature selection, particle swarm optimization, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

    وصف الملف: electronic resource

    Relation: https://ieeexplore.ieee.org/document/9246594/; https://doaj.org/toc/2169-3536

    URL الوصول: https://doaj.org/article/dcbf4447123d40f793919cbf9e8d9707

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  16. 16
    Academic Journal
    Defects Classification of Hydro Generators in Indonesia by Phase-Resolved Partial Discharge

    المؤلفون: Chun-Yao Lee, Nando Purba, Guang-Lin Zhuo

    المصدر: Mathematics, Vol 10, Iss 19, p 3659 (2022)

    مصطلحات موضوعية: partial discharge (PD), phase-resolved PD (PRPD), rotating machine, stator coil, Mathematics, QA1-939

    وصف الملف: electronic resource

    Relation: https://www.mdpi.com/2227-7390/10/19/3659; https://doaj.org/toc/2227-7390

    URL الوصول: https://doaj.org/article/60a201b7553d461eadb8c9862cdc42d1

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  17. 17
    Academic Journal
    Application of ANN in Induction-Motor Fault-Detection System Established with MRA and CFFS

    المؤلفون: Chun-Yao Lee, Meng-Syun Wen, Guang-Lin Zhuo, Truong-An Le

    المصدر: Mathematics, Vol 10, Iss 13, p 2250 (2022)

    مصطلحات موضوعية: multiresolution analysis (MRA), correlation and fitness values-based feature selection (CFFS), artificial neural network (ANN), feature selection, Mathematics, QA1-939

    وصف الملف: electronic resource

    Relation: https://www.mdpi.com/2227-7390/10/13/2250; https://doaj.org/toc/2227-7390

    URL الوصول: https://doaj.org/article/603c9c83d1ac49c8a821a57edffbceb5

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  18. 18
    Academic Journal
    A Robust Deep Neural Network for Rolling Element Fault Diagnosis under Various Operating and Noisy Conditions

    المؤلفون: Chun-Yao Lee, Guang-Lin Zhuo, Truong-An Le

    المصدر: Sensors, Vol 22, Iss 13, p 4705 (2022)

    مصطلحات موضوعية: intelligent diagnostic, bearing faults, improved fast kurtogram (IFK), nonlinear mode decomposition (NMD), gramian angular field (GAF), convolutional neural network (CNN), Chemical technology, TP1-1185

    وصف الملف: electronic resource

    Relation: https://www.mdpi.com/1424-8220/22/13/4705; https://doaj.org/toc/1424-8220

    URL الوصول: https://doaj.org/article/8a4bd28bd48b44c28d85c914a2659752

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  19. 19
    Academic Journal
    Induction Motor Fault Classification Based on Combined Genetic Algorithm with Symmetrical Uncertainty Method for Feature Selection Task

    المؤلفون: Chun-Yao Lee, Yun-Jhan Hsieh, Truong-An Le

    المصدر: Mathematics, Vol 10, Iss 2, p 230 (2022)

    مصطلحات موضوعية: fault detection, Hilbert-Huang transform (HHT), genetic algorithm (GA), symmetrical uncertainty (SU), support vector machine (SVM), Mathematics, QA1-939

    وصف الملف: electronic resource

    Relation: https://www.mdpi.com/2227-7390/10/2/230; https://doaj.org/toc/2227-7390

    URL الوصول: https://doaj.org/article/39ba9fd627c049469eb73d05b8d9d066

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  20. 20
    Academic Journal
    Localization of Rolling Element Faults Using Improved Binary Particle Swarm Optimization Algorithm for Feature Selection Task

    المؤلفون: Chun-Yao Lee, Guang-Lin Zhuo

    المصدر: Mathematics, Vol 9, Iss 18, p 2302 (2021)

    مصطلحات موضوعية: rolling element, fault diagnosis model, local mean decomposition, wavelet packet decomposition, binary particle swarm optimization, Mathematics, QA1-939

    وصف الملف: electronic resource

    Relation: https://www.mdpi.com/2227-7390/9/18/2302; https://doaj.org/toc/2227-7390

    URL الوصول: https://doaj.org/article/2cf3a5a9dd9e4043a46ca3574c7ae2a3

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