Active Safety Methodologies of Rail Transportation

Preface

Contents

Chapter 1: Fundamental of Rail Transportation Active Safety

1.1 Research Paradigm of Rail Transportation Active Safety

1.1.1 Concepts and Methodologies

1.1.2 Research Architecture

1.2 Literature Review

1.2.1 Safety Region Estimation Theory and Methods

1.2.2 State Identification and Predication of Train Equipment

1.2.2.1 Safety State Analysis of Equipment

1.2.2.2 State Monitoring and Evaluation of Wheel Rolling Bearings

1.2.3 Train Safety and Reliability Evaluation

1.3 Research Work of Authors´ Group

References

Chapter 2: Safety Region Based Active Safety Methods

2.1 Safety Region Analysis Model

2.1.1 Basic Concepts

2.1.2 Processing Procedures

2.1.3 Computation Methods

2.2 Safety Region Based Accident-Causing Model

2.2.1 Concepts and Procedures

2.2.1.1 Definition of Safety Region

2.2.1.2 Analysis of Accident-Causing Model

2.2.2 Case Study

2.2.2.1 The Wenzhou Train Collision Accident Analysis

2.2.2.2 Specified Application of the Safety Control Measures

2.2.2.3 Corresponding Prevention Measures

References

Chapter 3: Train Equipment Fault Diagnosis and Prognosis

3.1 Fault Diagnosis of Rolling Bearings Based on Safety Region

3.1.1 The Configuration and Faults of Rolling Bearings

3.1.2 Rolling Bearings Vibration Mechanism

3.1.3 Procedure of the Safety Region Identification of Rolling Bearings

3.1.4 LMD of the Vibration Signal of Rolling Bearings

3.1.5 Safety Region Feature Extraction of Rolling Bearings

3.1.6 The Safety Region Identification of Rolling Bearings Based on SVM

3.2 Degradation Assessment of Rolling Bearings Based on SVDD

3.2.1 Support Vector Data Description

3.2.2 Particle Swarm Algorithm Based on Dynamic Weight Adjustment

3.2.3 Research on the Self-Adaptation Warning

3.2.4 Case Study

3.3 Fault Diagnosis of Door System Based on the Extended Petri Net

3.3.1 Subway Train Door: Open Process Analysis

3.3.2 Subway Train Door System Fault Diagnosis Theory and Method

3.3.3 Case Study

References

Chapter 4: Train Reliability and Safety Analysis

4.1 Introduction

4.1.1 Reliability and Safety Standards of European Railway System

4.1.2 System of Train Operational Reliability and Safety Analysis

4.1.2.1 Data

4.1.2.2 System Reliability Assessment

4.1.2.3 System Safety Assessment

4.1.3 Procedure of Train Operational Reliability and Safety Assessment

4.2 Reliability Analysis and Prediction of Bogie Frame

4.2.1 Reliability Analysis of Bogie Frame Based on Survival Analysis

4.2.1.1 Survival Analysis Theory

4.2.1.2 Maximum Likelihood Estimation

4.2.1.3 Goodness of Fit Test

4.2.2 Failure Rate Prediction of Bogie Frame Based on BP and PSO-BP Methods

4.2.2.1 BP Neural Network

4.2.2.2 Basic Principles of PSO

4.2.2.3 PSO-BP Prediction Model

4.2.3 Case Study

4.2.3.1 Analysis of Bogie Frame

4.2.3.2 Prediction of Failure Rate

4.3 Residual Life Prediction of Rolling Bearings Based on GA-BP

4.3.1 Residual Life Prediction Model of Rolling Bearings Based on GA-BP

4.3.2 Case Study

4.4 Operational Risk Assessment of High Speed Train

4.4.1 Basic Challenges of High Speed Train Operational Risk Assessment

4.4.1.1 Construction of High Speed Train Operational Risk Assessment Index System

4.4.1.2 Applications of TFNIFS in the Risk Assessment Index System

4.4.1.3 Correlation Risk Index

4.4.2 Dynamic VIKOR Method for High Speed Train Operational Risk Assessment

4.4.3 Case Study

References

Chapter 5: Operational Risk Analysis of Rail Transportation Network

5.1 Operational Risk Assessment Model

5.1.1 Operational Safety Assessment Index System of Metro Station

5.1.2 Operational Safety Assessment Index System of Traffic Line

5.1.3 Operational Safety Assessment Index System of Traffic Network

5.2 Operational Risk Prediction Model

5.2.1 Safety State Prediction Based on ARMA Model

5.2.2 Safety State Prediction Based on GA-SVR Model

5.3 Case Study

5.3.1 Case Study on ARMA Model

5.3.2 Case Study on GA-SVR Model

References

Chapter 6: Safety Prognostic Analysis in Traffic System

6.1 Traffic Operation Risk Analysis Model Based on Safety Region

6.1.1 Sequential Forward Selection and Principal Components Analysis

6.1.2 Computation Procedure

6.1.3 Case Study

6.1.3.1 Data Description

6.1.3.2 State Variable Extraction

6.1.3.3 Traffic Safety State Identification

6.2 Traffic Crash Risk Evaluation Model Based on Reliability Theory

6.2.1 Structural Reliability Analysis Theory

6.2.2 Analysis Procedure

6.2.3 Case Study

6.2.3.1 State Variable Selection

6.2.3.2 State Variable of Traffic System

6.2.3.3 Limited State Function Estimation

6.2.3.4 Test Results Analysis

References