An Intelligent Reliability Analysis Platform: A GPT-4-based assistant system will be developed to support automated classification, reasoning, and report generation for fault data, significantly increasing automation in reliability testing.Faster and Better Engineering Decision-Making: The model can quickly identify critical issues within large datasets, generate standardized reports, and reduce the time needed for manual analysis, thereby accelerating design iteration cycles.Demonstrated Industrial Use of LLMs: The study will validate the capacity of large language models to process complex engineering datasets and fuse natural language understanding with technical reasoning, promoting their trustworthy application in testing workflows.
Data Insights
Gathering and analyzing real-world reliability testing and environmental data.