Research on Waveform Identification of Power Fault Recording Based on Instantaneous Characteristic Parameters
Author:
Affiliation:
1. Shenzhen Power Supply Bureau Co., Ltd,Shenzhen,Guangdong,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10270813/10271092/10271174.pdf?arnumber=10271174
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1. Hierarchical auditory perception for species discrimination and individual recognition in the music frog
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3. Classification of the acoustic emissions generated during the tensile fracture process in steel fibre reinforced concrete using a waveform-based clustering method
4. Static postural transition-based technique and efficient feature extraction for sensor-based activity recognition
5. Faulty feeder detection based on image recognition of voltage-current waveforms in non-effectively grounded distribution networks
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