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Novel Method Based on Variational Mode Decomposition and a Random Discriminative Projection Extreme Learning Machine for Multiple Power Quality Disturbance Recognition.

, , , , , , , and . IEEE Trans. Industrial Informatics, 15 (5): 2915-2926 (2019)

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A Real-Time Power Quality Disturbances Classification Using Hybrid Method Based on S-Transform and Dynamics., , and . IEEE Trans. Instrumentation and Measurement, 62 (9): 2465-2475 (2013)Safety Test Case Generation of Train-ground Transmission Function for CTCS Based on Fault Models., , , and . ITSC, page 3355-3360. IEEE, (2019)HAZOP Study on the CTCS-3 Onboard System., , , , and . IEEE Trans. Intelligent Transportation Systems, 16 (1): 162-171 (2015)A New Transient Power Quality Disturbances Detection Using Strong Trace Filter., , and . IEEE Trans. Instrumentation and Measurement, 63 (12): 2863-2871 (2014)Mutation Testing for Evaluating the Completeness of Test Cases in High-Speed Train Control System., , , , , and . ITSC, page 777-782. IEEE, (2015)Optimized generation of test sequences for high-speed train using deep learning and genetic algorithm., , , and . ITSC, page 784-789. IEEE, (2016)Novel Method Based on Variational Mode Decomposition and a Random Discriminative Projection Extreme Learning Machine for Multiple Power Quality Disturbance Recognition., , , , , , , and . IEEE Trans. Industrial Informatics, 15 (5): 2915-2926 (2019)Cooperative and cognitive wireless networks for train control systems., , , , and . Wireless Networks, 21 (8): 2545-2559 (2015)Correction to Ä New Transient Power Quality Disturbances Detection Using Strong Trace Filter"., , and . IEEE Trans. Instrumentation and Measurement, 64 (3): 834 (2015)Model-based test cases generation for Onboard system., , , , , and . ISADS, page 1-6. IEEE Computer Society, (2013)