Few-Shot Bearing Fault Diagnosis with Multimodal LLMs and Prototypical Networks

Initial release of the few-shot bearing fault diagnosis framework using multimodal LLMs and prototypical networks.

Features:

• Support for multiple MLLMs: GPT-4o, GPT-5.1, Claude 4.5 Haiku/Sonnet, LLaVA-1.5-7B
• Prototypical Networks baseline with ResNet-50 and Swin Transformer V2-T
• 1-shot, 5-shot, and 10-shot evaluation
• Automated metrics computation with confidence intervals
• CWT image preprocessing for vibration signal analysis

Requirements:

• Python 3.8+
• OpenAI/Anthropic API keys for cloud models
• User-provided bearing vibration datasets (CWT images)

See README.md for installation and usage instructions.