Predictive Maintenance Using Machine Learning
Build a lightweight, self-improving predictive maintenance app that detects O-ring wear in PTC’s laminators using edge-deployable machine learning and physics-informed pseudo-labeling
Team Members:
Richie Li (Team Lead), Sicheng Chen, Zifeng Huang, Jiayu Wang, and Heng Wang
Project Deliverables:
- NovaMind GitHub Software Release
– Full source code, tagged release, installation guide - Pre-Trained Model Weights
– Ready-to-use ML models for immediate inference - Reference Datasets
– Cleaned & processed laminator logs with accompanying labeling pipeline - Operator & Developer Documentation
– Quick-start guide, user manual, API reference, architecture diagrams - Project Presentation Slides
– Slide deck summarizing goals, system architecture, performance, and next steps
