Modular five-level current converter fault locating method based on depth convolution network
A technology of deep convolution and fault location, applied in power supply testing, etc., can solve problems such as destructive short-circuit faults, distortion of voltage and current waveforms, and threats to normal operation of the system, to achieve stable operation and convenient decision-making, easy access, and strong MMC Effect of Fault Identification and Localization Capabilities
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment Construction
[0047] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.
[0048] Such as figure 1 As shown, a fault location method for a modular five-level converter based on a deep convolutional network includes the following steps:
[0049] 1) select figure 2 The capacitor voltage in the three-phase five-level converter is used as a reference to obtain the capacitor voltage data in the 24 sub-modules in the three-phase five-level converter.
[0050] 2) Convert the original capacitance voltage data into a two-dimensional matrix form similar to an image through preprocessing, and scramble the data set samples for training and testing models. The specific steps are:
[0051] 2-1) For each group of simulation experiments, 24 capacitor voltage signal sequences in the modular five-level converter are selected to form a multi-channel sequence, and the multi-channel sequence is pre-calculated according to the Min-Max normaliza...
PUM
Abstract
Description
Claims
Application Information
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com