Online Equipment Fault Diagnosis
Completed
Die/Mold Fault Diagnosis System for Automotive Manufacturing
Production deployment of long-life-cycle diagnosis under varying operating conditions, running at General Motors and CITIC Dicastal
Die Diagnosis Varying Conditions Automotive Production System
Project Overview
Dies are the teeth of a stamping line — a die failure halts the whole line. This system productizes the long-life-cycle diagnosis framework for varying operating conditions.
Research Objectives
1
Stable online sensing of die condition under varying conditions
2
Life-long diagnostic accuracy over long-term operation
3
Coordinated offline/online sampling strategies
Methodology
A long-life-cycle diagnosis framework with dedicated algorithms and offline/online sampling strategy design.
Key Results
Deployed at General Motors and CITIC Dicastal production lines
4 SCI papers and 5 invention patents in this direction
Online Equipment Fault Diagnosis