User profiles for Chi-Guhn Lee
Chi-Guhn LeeUniversity of Toronto Verified email at mie.utoronto.ca Cited by 3125 |
A two-phase preventive maintenance policy considering imperfect repair and postponed replacement
This paper investigates a novel two-phase preventive maintenance policy for a single-component
system with an objective of maximizing the revenue generated by the performance-…
system with an objective of maximizing the revenue generated by the performance-…
Deep partial transfer learning network: A method to selectively transfer diagnostic knowledge across related machines
Applications of deep transfer learning to intelligent fault diagnosis of machines commonly
assume symmetry among domains: 1) the samples from target machines are balanced across …
assume symmetry among domains: 1) the samples from target machines are balanced across …
Deep imbalanced domain adaptation for transfer learning fault diagnosis of bearings under multiple working conditions
The tremendous success of deep learning and transfer learning broadened the scope of
fault diagnosis, especially the latter further improved the diagnosis accuracy under multiple …
fault diagnosis, especially the latter further improved the diagnosis accuracy under multiple …
A Bayesian deep learning RUL framework integrating epistemic and aleatoric uncertainties
Recent years have witnessed the prominent advancements of deep learning (DL) in the
arsenal of prognostics and health management. However, the prognostic uncertainty problem …
arsenal of prognostics and health management. However, the prognostic uncertainty problem …
Manufacturing task semantic modeling and description in cloud manufacturing system
T Wang, S Guo, CG Lee - The International Journal of Advanced …, 2014 - Springer
Cloud manufacturing (CMfg) is emerging as an advanced service-oriented manufacturing
model for the manufacturing industry. It is changing the way manufacturing enterprises …
model for the manufacturing industry. It is changing the way manufacturing enterprises …
Multi-source transfer learning network to complement knowledge for intelligent diagnosis of machines with unseen faults
Most of the current successes of deep transfer learning-based fault diagnosis require two
assumptions: 1) the health state set of source machines should overlap that of target machines; …
assumptions: 1) the health state set of source machines should overlap that of target machines; …
A shortest path approach to the multiple-vehicle routing problem with split pick-ups
We consider a multiple-vehicle routing problem with split pick-ups (mVRPSP). This problem
involves multiple suppliers, a single depot, and a fleet of identical capacity trucks …
involves multiple suppliers, a single depot, and a fleet of identical capacity trucks …
The European freight railway system as a hub-and-spoke network
SJ Jeong, CG Lee, JH Bookbinder - … Research Part A: Policy and Practice, 2007 - Elsevier
This paper addresses a hub-and-spoke network problem for railroad freight, where a central
planner is to find transport routes, frequency of service, length of trains to be used, and …
planner is to find transport routes, frequency of service, length of trains to be used, and …
Multi-period sustainable and integrated recycling network for municipal solid waste–A case study in Tehran
The sheer amount of Municipal Solid Waste (MSW) produced from residential and commercial
activities has posed a big threat to the modern society, especially to large cities by …
activities has posed a big threat to the modern society, especially to large cities by …
A carrier's optimal bid generation problem in combinatorial auctions for transportation procurement
We consider the carrier’s optimal bid generation problem in combinatorial auctions for
transportation procurement. Bidders (carriers) employ vehicle routing models to identify sets of …
transportation procurement. Bidders (carriers) employ vehicle routing models to identify sets of …