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transmission-lines

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DeeThunder / Electrical-Faults-Analysis---Classification

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Hybrid CNN-LSTM deep learning model for electrical fault classification in power transmission lines. Achieves 78% accuracy across 6 fault types using time-series analysis. Includes complete ML pipeline with preprocessing, training, and evaluation tools. Built with TensorFlow & Keras.

python data-science machine-learning deep-learning tensorflow signal-processing keras neural-networks convolutional-neural-networks power-systems hybrid-model time-series-analysis fault-detection predictive-maintenance transmission-lines cnn-lstm-models fault-classification
  • Updated Feb 14, 2026
  • Python

theprixit / TL-Analyzer

Star 0

Estimate overhead conductor tension from a span photograph - trace the catenary, perspective-corrected, with uncertainty bands - or from total station / rangefinder readings. Temperature change-of-state, winter cold checks, print-ready reports. Built for Himalayan terrain. Beta.

javascript computer-vision photogrammetry overhead-lines power-systems electrical-engineering sag-tension catenary transmission-lines field-engineering
  • Updated Jul 19, 2026
  • JavaScript

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