Intro
Preface
In Memoriam
Contents
About the Editors
Fault Detection
Data Sharing Concept For Electric Car Services: Fleet Level Optimization and Emission Reduction Based on Monitored Data
1 Introduction
2 Methods
3 Sensors and Monitoring in EVs
3.1 Autonomous Driving
3.2 Safety
3.3 Condition Monitoring
4 Data Sharing Concept
5 Discussion and Summary
References
Unsupervised Deep Neural Network Considering the Uncertainties Effect in Pipeline Condition Monitoring Using Guided Ultrasonic Waves
1 Introduction
2 Methodology

3 Uncertainty Consideration
4 Damage Identification Using RRC Damage Index
5 Deep Autoencoder
6 Damage Identification Using the RRC Damage Index
6.1 Damage Localisation Using the RRC Damage Index
6.2 Damage Quantification Using the RRC Damage Index
6.3 Effect of Uncertainties on Damage Identification Using the RRC Damage Index
7 Uncertainty Compensation Using a Deep Autoencoder
8 Conclusions
References
Detecting Gas Injection Problems in Vacuum Tank Degassing Using Measurements of Multiple Variables
1 Introduction
2 Materials and Methods

3 Results and Discussion
3.1 Normal Operation
3.2 Problem in One of the Gas Lines
3.3 Poor Stirring Efficiency and Operator Actions Related to It
3.4 Temporary Increase in Vacuum Tank Pressure
3.5 Features for Automated Fault Classification
4 Conclusions
References
Feature Assessment for a Hybrid Model
1 Introduction
1.1 Model-Based Approaches
1.2 Data-Driven Approaches
1.3 Hybrid Model-Based Approaches
2 Hybrid Modelling Methodology
3 HVAC System Model
3.1 Fault Modelling
3.2 Ranking of Features for the Data-Driven Models

4 Results and Discussion
4.1 First Case: Dust in Air Filter
4.2 Second Case: Degradation of the CO2 Sensor
4.3 Third Case: Degradation of Evaporator Fan
4.4 Fourth Case: Variations in the Compression Rate of the Cooling System
5 Conclusions and Outlook
References
Fatigue and Wear Prediction
Operability Forecasting Combining Neural Network and Survival Analysis with an Application to Hot Corrosion in Turbofan
1 Introduction
2 Background and Data
2.1 Inspections
2.2 Engine Utilization
2.3 Operability Forecasting
3 Related Approaches

3.1 Cumulative Damage Model (CDM)
3.2 Survival Analysis
4 Model
4.1 Non-recurrent Model
4.2 A Recurrent Model
4.3 Multiple Components
4.4 Weibull Law
4.5 Simulation
5 Application to Hot Corrosion
5.1 Hot Corrosion Issue for Turbofan
5.2 k-Fold Cross-Validation
6 Conclusion
7 Appendix
References
Active Monitoring of RCF in Toroidal Bearings Using Acoustic Emission
1 Introduction
2 Material and Equipment
3 Results and Discussion
4 Conclusion
References
Fatigue Risk Analysis with Intelligent Digital Twins Based on Condition Monitoring