Publications by authors named "Zhengwei Chang"

Article Synopsis
  • * A new BILSTM-SimAM network model has been developed that utilizes Variational Mode Decomposition (VMD) for noise reduction and feature extraction, in combination with a CNN to enhance model accuracy and training speed.
  • * The BILSTM-SimAM model demonstrates impressive performance, achieving a prediction accuracy of 97.8%, outperforming other leading models like Transformer, MLP, and Prophet.
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A new fast busbar protection algorithm based on the comparison of the similarity of back-wave waveforms is proposed in this paper. The S-transform is performed on the back-wave from each defected transmission line connected to the busbar, and the protection criterion is thus constructed by using the Euclidean distance to analyze the similarity of the back-waves, with the implementation of the S-transform between the transmission lines. When a fault occurs internally on the busbar, the Euclidean distance of the S-transformed back-wave between each associated transmission line is small, and there is a remarkable similarity between the waveform.

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To improve the capacity of emergency control over on-site operation risk and effectively guarantee safety of operators in a complicated environment, a wearable safety assurance system framework for power operation is proposed. The framework centres on a wearable information processing gateway for single man and provides standardized access for vital signs monitoring, human-machine interaction and other equipment in a form of wireless ad hoc network. Using wearable vital signs monitoring equipment, the physiological parameters such as heart rate, body temperature and blood pressure can be monitored in real time.

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