Master’s Thesis - Time-Sequential Wind Dancing Signal Anomaly Detection

Master’s Thesis : Time-Sequential Wind Dancing Signal Anomaly Detection

Xiaonan Wang University of Electronic Science and Technology of China 2018.06 (Reorganized and Translated in 2023.04)

0. Overview

1. Introduction

2. Wind Dancing Monitoring System

3. Benchmark Dataset

4. Feature Engineering

4.1 Frequency-Domain Feature

4.2 Time-Domain Feature and BNSWP

 

4.3 Feature Fusion & Data Augmentation

5. Time-Sequential Detection and Prediction

5.1 Detection: CNN Classifier

     

5.2 Prediction: RNN Predictor

5.3 Combine Classification and Prediction in Online Inference

6. Conclusion and Future Work

 

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