| An integrated approach for system functional reliability assessment using Dynamic Bayesian Network and Hidden Markov Model S Rebello, H Yu, L Ma Reliability Engineering & System Safety 180, 124-135, 2018 | 117 | 2018 |
| Modified independent component analysis and Bayesian network-based two-stage fault diagnosis of process operations H Yu, F Khan, V Garaniya Industrial & Engineering Chemistry Research 54 (10), 2724-2742, 2015 | 88 | 2015 |
| Development of a monograph for human error likelihood assessment in marine operations R Islam, H Yu, R Abbassi, V Garaniya, F Khan Safety Science 91, 33-39, 2016 | 82 | 2016 |
| A sparse PCA for nonlinear fault diagnosis and robust feature discovery of industrial processes H Yu, F Khan, V Garaniya AIChE Journal, 2016 | 75 | 2016 |
| Degradation modeling and condition-based maintenance of boiler heat exchangers using gamma processes ME Cholette, H Yu, P Borghesani, L Ma, G Kent Reliability Engineering & System Safety 183, 184-196, 2019 | 65 | 2019 |
| A Flexible Hierarchical Bayesian Modeling Technique for Risk Analysis of Major Accidents H Yu, F Khan, B Veitch Risk Analysis, 2017 | 64 | 2017 |
| Nonlinear Gaussian Belief Network based fault diagnosis for industrial processes H Yu, F Khan, V Garaniya Journal of Process Control 35, 178–200, 2015 | 58 | 2015 |
| Risk-based fault detection using Self-Organizing map H Yu, F Khan, V Garaniya Reliability Engineering & System Safety 139, 82-96, 2015 | 56 | 2015 |
| Self-organizing map based fault diagnosis technique for non-Gaussian processes H Yu, F Khan, V Garaniya, A Ahmad Industrial & Engineering Chemistry Research 53 (21), 8831-8843, 2014 | 50 | 2014 |
| An Alternative Formulation of PCA for Process Monitoring using Distance Correlation H Yu, F Khan, V Garaniya Industrial & Engineering Chemistry Research, 2015 | 43 | 2015 |
| A probabilistic multivariate method for fault diagnosis of industrial processes H Yu, F Khan, V Garaniya Chemical Engineering Research and Design 104, 306-318, 2015 | 39 | 2015 |
| Improved latent variable models for nonlinear and dynamic process monitoring H Yu, F Khan Chemical Engineering Science, 2017 | 36 | 2017 |
| Modelling thermal effects in cavitating high-pressure diesel sprays using an improved compressible multiphase approach H Yu, L Goldsworthy, PA Brandner, J Li, V Garaniya Fuel 222, 125-145, 2018 | 33 | 2018 |
| An integrated approach for real-time hazard mitigation in complex industrial processes S Rebello, H Yu, L Ma Reliability Engineering & System Safety 188, 297-309, 2019 | 23 | 2019 |
| Reactive Approaches of Probability Update Based on Bayesian Methods N Khakzad, H Yu, N Paltrinieri, F Khan Dynamic Risk Analysis in the Chemical and Petroleum Industry, 51-61, 2016 | 22 | 2016 |
| Risk-based process system monitoring using self-organizing map integrated with loss functions H Yu, F Khan, V Garaniya The Canadian Journal of Chemical Engineering, 2016 | 17 | 2016 |
| Human Factors in Marine and Offshore Systems R Islam, H Yu Methods in Chemical Process Safety 1, 0 | 13* | |
| A Novel Semiparametric Hidden Markov Model for Process Failure Mode Identification H Yu IEEE transactions on automation science and engineering, 2017 | 12 | 2017 |
| Dynamic risk assessment of complex process operations based on a novel synthesis of soft-sensing and loss function H Yu Process Safety and Environmental Protection, 2016 | 10 | 2016 |
| Design of a solar Stirling engine for marine and offshore applications A Yerbury, A Coote, V Garaniya, H Yu International Journal of Renewable Energy Technology 7 (1), 1-45, 2015 | 10 | 2015 |
Faisal KhanTexas A&M UniversityVerified email at tamu.edu
