1. Introduction

2. Key Components of Large-Scale Foundation Models  
2.1 Transformer-Based Feature Extraction  
2.2 Self-Supervised Learning-Based Feature Representation  
2.3 Multi-Modal Data Fusion

3. Progress on Large-Scale Foundation Models  
3.2 Large-Scale Foundation Models for Computer Vision

4. Large-Scale Foundation Models for PHM  
4.1 Large-Scale Datasets for PHM  
4.2 Transformer for PHM  
4.3 Self-Supervised Learning for PHM  
4.4 Multi-Modal Fusion for PHM

5. Challenges and Future Roadmaps  
5.1 Challenges of Large-Scale Foundation Models in PHM  
5.2 Roadmaps of Large-Scale Foundation Models in PHM  
5.3 Prospect: Universal PHM Platform

6. Conclusions