Large Language Models for Prognostic Analysis in Mechanical Fault Diagnosis

This dataset contains bearing fault signals of bearings, including outer ring faults, inner ring faults, and rolling element faults. It is used to build a comprehensive bearing fault diagnosis system that integrates technologies such as signal processing, time-frequency analysis, computer vision, and large language models (LLMs) to provide accurate fault diagnosis, cause analysis, and maintenance recommendations.