According to our database1, Jianbo Yu
Legend:Book In proceedings Article PhD thesis Other
State-of-Health Monitoring and Prediction of Lithium-Ion Battery Using Probabilistic Indication and State-Space Model.
IEEE Trans. Instrumentation and Measurement, 2015
Health Degradation Detection and Monitoring of Lithium-Ion Battery Based on Adaptive Learning Method.
IEEE Trans. Instrumentation and Measurement, 2014
A modified support vector data description based novelty detection approach for machinery components.
Appl. Soft Comput., 2013
Health Condition Monitoring of Machines Based on Hidden Markov Model and Contribution Analysis.
IEEE Trans. Instrumentation and Measurement, 2012
Local and Nonlocal Preserving Projection for Bearing Defect Classification and Performance Assessment.
IEEE Trans. Industrial Electronics, 2012
Fault Prediction and Fault-Tolerant of Lithium-ion Batteries Temperature Failure for Electric Vehicle.
Proceedings of the Third International Conference on Digital Manufacturing & Automation, 2012
Online tool wear prediction in drilling operations using selective artificial neural network ensemble model.
Neural Computing and Applications, 2011
Bearing performance degradation assessment using locality preserving projections.
Expert Syst. Appl., 2011
Pattern recognition of manufacturing process signals using Gaussian mixture models-based recognition systems.
Computers & Industrial Engineering, 2011
A hybrid feature selection scheme and self-organizing map model for machine health assessment.
Appl. Soft Comput., 2011
A neural network ensemble model for on-line monitoring of process mean and variance shifts in correlated processes.
Expert Syst. Appl., 2010
An effective heuristic for flexible job-shop scheduling problem with maintenance activities.
Computers & Industrial Engineering, 2010
A Neural Network-Based On-line Monitoring Model of Process Mean and Variance Shifts.
Proceedings of the International Conference on E-Business and E-Government, 2010
A neural network ensemble-based model for on-line monitoring and diagnosis of out-of-control signals in multivariate manufacturing processes.
Expert Syst. Appl., 2009
Identifying source(s) of out-of-control signals in multivariate manufacturing processes using selective neural network ensemble.
Eng. Appl. of AI, 2009
Using Minimum Quantization Error chart for the monitoring of process states in multivariate manufacturing processes.
Computers & Industrial Engineering, 2009
Evolving artificial neural networks using an improved PSO and DPSO.
Intelligent monitoring and diagnosis of manufacturing process using an integrated approach of neural network ensemble and genetic algorithm.
Intelligently reconfigurable manufacturing control system based on knowledge function block.
Intelligent monitoring and diagnosis of manufacturing processes using an integrated approach of KBANN and GA.
Computers in Industry, 2008
An Integrated Framework for Intelligently Reconfigurable Manufacturing Control System Based on Knowledge Function Block.
Proceedings of the Fifth International Conference on Fuzzy Systems and Knowledge Discovery, 2008
An Improved Particle Swarm Optimization for Evolving Feedforward Artificial Neural Networks.
Neural Processing Letters, 2007