Introduction
With Google's recent unveiling of Gemini Ultra, the AI world is buzzing with excitement. As a mechanical engineer passionate about predictive maintenance, I couldn't resist putting both AI giants to the test in a real-world engineering challenge: bearing fault diagnosis.
The Challenge
I presented both models with identical bearing parameters and vibration data:
Parameter | Value |
---|---|
Roller diameter | 0.235 inches |
Pitch diameter | 1.245 inches |
Rolling elements | 8 |
Contact angle | 0° |
Shaft frequency | 25Hz |
Key observation: 12 distinct peaks in 0.1 seconds
Findings: GPT-4 demonstrated remarkable accuracy in diagnosing the bearing fault solely from the vibration signal description, significantly outperforming Gemini Ultra.