Jianbo Yu

According to our database1, Jianbo Yu
  • authored at least 25 papers between 2007 and 2018.
  • has a "Dijkstra number"2 of four.



In proceedings 
PhD thesis 


On csauthors.net:


Tool condition prognostics using logistic regression with penalization and manifold regularization.
Appl. Soft Comput., 2018

Weak Fault Feature Extraction of Rolling Bearings Using Local Mean Decomposition-Based Multilayer Hybrid Denoising.
IEEE Trans. Instrumentation and Measurement, 2017

CRSPR: PageRank for Android Apps.
IEEE Access, 2017

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.
Neurocomputing, 2008

Intelligent monitoring and diagnosis of manufacturing process using an integrated approach of neural network ensemble and genetic algorithm.
IJCAT, 2008

Intelligently reconfigurable manufacturing control system based on knowledge function block.
IJCAT, 2008

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