Intelligent Monitoring of Manufacturing Processes

4 projects

Extracting critical information from high-dimensional, high-throughput manufacturing process streams, powered by industrial time-series large models for virtual metrology, anomaly monitoring, and process control — moving production lines from "post-hoc sampling inspection" to "online full inspection"

Ongoing

Mechanism-AI Fusion for Intelligent Monitoring and Diagnosis of Precision Forming Processes

Targeting precision forming scenarios such as stamping and injection molding, multi-source time-series signals are co-modeled with physical mechanisms to close the loop from weak-anomaly online monitoring to root-cause analysis

Stamping Monitoring Injection Molding Diagnosis Physics-AI Fusion

Ongoing

Industrial Time-Series Large-Model-Driven Online Quality Monitoring for Die Casting

A large-model-driven adversarial semi-supervised training scheme that combines a handful of destructive-test samples with massive production-line sensor data to predict the mechanical properties of large die-cast parts, region by region, online

Industrial Time-Series Large Model Semi-Supervised Learning Advanced Die Casting

Ongoing

Unified Multi-Task Industrial Time-Series Foundation Model

Building an industrial large-model system spanning from foundation model to vertical deployment — a shared backbone plus vertical fine-tuning and prompt engineering — covering monitoring, diagnosis, and prediction tasks in one framework

Time-Series Foundation Model Multi-Task Learning Vertical Fine-Tuning

Completed

Virtual Metrology & Fault Detection for Semiconductor Manufacturing

Online virtual metrology with uncertainty evaluation and semi-automated fault-detection configuration for CMP and related processes, applied with Applied Materials

Virtual Metrology Semiconductor Fault Detection

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