Results 241 to 250 of about 16,203 (295)
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Structural Health Monitoring, 2023
Due to the harsh working environment of hoisting machinery system, the fault information of the important components is significantly complex, which leads to the fault signals not being collected completely by using only single channel. To alleviate this
Y. Li +4 more
semanticscholar +1 more source
Due to the harsh working environment of hoisting machinery system, the fault information of the important components is significantly complex, which leads to the fault signals not being collected completely by using only single channel. To alleviate this
Y. Li +4 more
semanticscholar +1 more source
Multivariate Variational Mode Decomposition based approach for Blink Removal from EEG Signal
2020 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops), 2020Electroencephalography (EEG) signals contain ocular artifacts which degrades the overall performance of any neuro-engineering based analysis or applications like brain computer interfaces. In general, independent component analysis (ICA) is used for removing blinks. However, that requires expert intervention.
Rahul Gavas +4 more
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Measurement Science and Technology, 2022
Abstract Multivariate variational mode decomposition (MVMD) is a novel extension of variational mode decomposition (VMD) for multi-channel data sets. It decomposes multi-component and multi-channel signals into multivariate modulated oscillations crossing different center frequencies and limited bandwidths with ...
Zhaolun Li +3 more
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Abstract Multivariate variational mode decomposition (MVMD) is a novel extension of variational mode decomposition (VMD) for multi-channel data sets. It decomposes multi-component and multi-channel signals into multivariate modulated oscillations crossing different center frequencies and limited bandwidths with ...
Zhaolun Li +3 more
openaire +1 more source
IEEE Transactions on Instrumentation and Measurement
Crosslinked polyethylene (XLPE) insulated cables have been widely developed in transmission lines and urban distribution networks due to their advantages, such as being lightweight, high working temperature, and high transmission power. Partial discharge
Xiaowei Wang +6 more
semanticscholar +1 more source
Crosslinked polyethylene (XLPE) insulated cables have been widely developed in transmission lines and urban distribution networks due to their advantages, such as being lightweight, high working temperature, and high transmission power. Partial discharge
Xiaowei Wang +6 more
semanticscholar +1 more source
IEEE Transactions on Instrumentation and Measurement
Fault diagnosis serves as a consistent approach to ensure cable system stability, with high-frequency transmission characteristic parameters (HFTCPs) enhancing sensitivity, accuracy, and fault assessment capabilities. This article introduces a method for
Kaixing Chang, Lixin Wang, Gang Zhang
semanticscholar +1 more source
Fault diagnosis serves as a consistent approach to ensure cable system stability, with high-frequency transmission characteristic parameters (HFTCPs) enhancing sensitivity, accuracy, and fault assessment capabilities. This article introduces a method for
Kaixing Chang, Lixin Wang, Gang Zhang
semanticscholar +1 more source
IEEE Transactions on Cognitive and Developmental Systems
Early age identification and prompt intervention play a crucial role in mitigating the severity of neurodevelopmental disorders in children.
Ujjawal Chandela +2 more
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Early age identification and prompt intervention play a crucial role in mitigating the severity of neurodevelopmental disorders in children.
Ujjawal Chandela +2 more
semanticscholar +1 more source
2020 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD), 2020
The bearing failure diagnosis methods based upon variational mode decomposition (VMD) have been researched extensively in recent years. However, these methods are only capable of dealing with single channel data, in which the amount of information is limited and the anti-interference ability needs to be further enhanced.
Qiuyu Song +6 more
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The bearing failure diagnosis methods based upon variational mode decomposition (VMD) have been researched extensively in recent years. However, these methods are only capable of dealing with single channel data, in which the amount of information is limited and the anti-interference ability needs to be further enhanced.
Qiuyu Song +6 more
openaire +1 more source
IEEE journal of biomedical and health informatics
Brain-computer interfaces (BCIs) based on steady-state visually evoked potential (SSVEP) have a broad application prospect owing to their multiple command output and high performance. Each harmonic component of SSVEP individually contains unique features,
Jinpeng Lyu +5 more
semanticscholar +1 more source
Brain-computer interfaces (BCIs) based on steady-state visually evoked potential (SSVEP) have a broad application prospect owing to their multiple command output and high performance. Each harmonic component of SSVEP individually contains unique features,
Jinpeng Lyu +5 more
semanticscholar +1 more source
Mechanomyography signals processing method using multivariate variational mode decomposition
2021 14th International Symposium on Computational Intelligence and Design (ISCID), 2021Chenlei Xie +3 more
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