Improving manufacturing operations using deep learning: Multi-faceted research in monitoring, diagnosis, and optimization

Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-03-28 without embargo terms

Name thesis:degree_name

Ph.D.

Level thesis:degree_level

Dissertation

Discipline thesis:degree_discipline

Mechanical Engineering

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2024

Author dc:creator

• Chen, Siyuan

Contributors dc:contributor

• Shao, Chenhui
• Salapaka, Srinivasa M
• Ferreira, Placid M
• Wang, Pingfeng

• Radiofrequency Identification
• Multi-object Tracking
• Tracking-by-detection
• Online Tracking
• Transportation
• Reinforcement Learning
• Beam Search
• Drying
• Papermaking
• Process Optimization
• Decarbonization
• Constrained Beam Search
• Rotors
• Fault Diagnosis
• Neural Networks
• Convolution
• Kernel
• Vibrations
• Condition Monitoring
• Rotating Machinery
• Rotor And Bearing Systems
• Kalman Filters
• Detectors
• Visualization
• Task Analysis
• Reliability
• Real-time Systems

Statement dc:rights

• Copyright 2024 Siyuan Chen

Language dc:language

en, eng

Handle dc:identifier

https://hdl.handle.net/2142/127244

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/127244