On this page
- Development of Digital Twin-based Prognosis and Health Management (PHM) for Electrical Motor in Electric Vehicle
- 1. Introduction
- 2. Digital Twin in Electric Vehicles: State of the Art
- 3. PHM in Electric Motor: State of the Art
- 4. Signal Processing: State of the Art
- 5. Data Fusion: State of the Art
- 6. Research Setup (Developed Approach)
- 7. Analysis 1
- 8. Analysis 2
- 9. Analysis 3
Development of Digital Twin-based Prognosis and Health Management (PHM) for Electrical Motor in Electric Vehicle
On this page
- Development of Digital Twin-based Prognosis and Health Management (PHM) for Electrical Motor in Electric Vehicle
- 1. Introduction
- 2. Digital Twin in Electric Vehicles: State of the Art
- 3. PHM in Electric Motor: State of the Art
- 4. Signal Processing: State of the Art
- 5. Data Fusion: State of the Art
- 6. Research Setup (Developed Approach)
- 7. Analysis 1
- 8. Analysis 2
- 9. Analysis 3
Development of Digital Twin-based Prognosis and Health Management (PHM) for Electrical Motor in Electric Vehicle
1. Introduction
1.1. Background
Electric Vehicle
Recent Development of Electric Vehicle
Objective of Prognosis and Health Management in Electric Vehicle
Importance of Electric Motor in Electric Vehicle
Reliability Problems in Electric Motor
General Objectives
1.2. Motivation and Research Problems
Importance of PHM in Electric Motor
Digital Twin as a Method of PHM
Research Contribution
Thesis Structure
2. Digital Twin in Electric Vehicles: State of the Art
2.1 Introduction
2.2. Definition of Digital Twin
3. PHM in Electric Motor: State of the Art
3.1. Introduction
3.1. PHM
3.2. Fault in Electric Motor
3.3. PHM in Electric Motor
4. Signal Processing: State of the Art
5. Data Fusion: State of the Art
6. Research Setup (Developed Approach)
7. Analysis 1
8. Analysis 2
9. Analysis 3
Tags
Edit this page
Last updated on 3/6/2023