¡¡¡¡Strong wind along the railways greatly affects the lateral stability of railway trains£¬ even causes serious accidents such as derailment£¬ overturning£¬ etc. China£¬ the United States£¬ Japan and other countries have experienced severe wind-induced train overturning accidents £¬ causing serious loss of life and property. To ensure the safe operation of trains£¬ it is urgently needed to enhance wind-proof performance of railway trains. ¡¡¡¡In the existing railway wind engineering research£¬ wind forecasting along the railways is recognized to be able to effectively improve the wind-proof performance of trains. The system based on wind forecasting can prevent the trains from being exposed to future strong wind to improve safety£¬ and it can also avoid the redundant speed limitation of the trains to improve efficiency. Researchers have proposed several effective railway strong wind prediction systems. ¡¡¡¡Due to the non-linearity and non-stationarity of the wind£¬ it is still a difficult problem to realize high-precision spatio-temporal wind speed prediction. The author refines researches contents of the past 10 years£¬ and completes this book. This book focuses on three key technologies£¬ including anemometer layout£¬ single-point wind prediction and spatial wind prediction. The characteristics of wind flow field£¬ single-point wind£¬ and spatial wind are analyzed. The advanced physical models and data-driven models are introduced with real data demonstration.
【目录】
Chapter 1 Introduction 1£®1 Overview of wind forecasting in train wind engineering 1£®2 Typical scenarios of railway wind engineering 1£®3 Key technical problems in wind signal processing 1£®4 Wind forecasting technologies in railway wind engineering 1£®5 Scope of this book References
Chapter 2 Analysis of Flow Field Characteristics Along Railways 2£®1 Introduction 2£®2 Analysis of spatial characteristics of railway flow field 2£®3 Analysis of seasonal characteristics of railway flow field 2£®4 Summary and outlook References
Chapter 3 Description of Single-Point Wind Time Series Along Railways 3£®1 Introduction 3£®2 Wind anemometer layout optimization methods along railways 3£®3 Single-point wind speed-wind direction seasonal analysis 3£®4 Single-point wind speed-wind direction heteroscedasticity analysis 3£®5 Various single-point wind time series description algorithms 3£®6 Description accuracy evaluation indicators 3£®7 Summary and outlook References
Chapter 4 Single-Point Wind Forecasting Methods Based on Deep Learning 4£®1 Introduction 4£®2 Wind data description 4£®3 Single-point wind speed forecasting algorithm based on LSTM 4£®4 Single-point wind speed forecasting algorithm based on GRU 4£®5 Single-point wind speed direction algorithm based on Seriesnet 4£®6 Summary and outlook References
Chapter 5 Single-Point Wind Forecasting Methods Based on Reinforcement Learning 5£®1 Introduction 5£®2 Wind data description 5£®3 Single-point wind speed forecasting algorithm based on Q-Iearning 5£®4 Single-point wind speed forecasting algorithm based on deep reinforcement learning 5£®5 Summary and outlook References ¡¡
Chapter 6 Single-Point Wind Forecasting Methods Based on Ensemble Modeling Chapter 7 Description Methods of Spatial Wind Along Railways Chapter 8 Data-Driven Spatial Wind Forecasting Methods Along Railways
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