Kaibo Liu
University of Wisconsin–Madison(US)
Publications by Year
Research Areas
Fault Detection and Control Systems, Advanced Statistical Process Monitoring, Reliability and Maintenance Optimization, Topic Modeling, Machine Fault Diagnosis Techniques
Most-Cited Works
- → A Data-Level Fusion Model for Developing Composite Health Indices for Degradation Modeling and Prognostic Analysis(2013)322 cited
- → An Obstructive Sleep Apnea Detection Approach Using a Discriminative Hidden Markov Model From ECG Signals(2015)243 cited
- → STACL: Simultaneous Translation with Implicit Anticipation and Controllable Latency using Prefix-to-Prefix Framework(2019)189 cited
- → Differences in Birth Weight Associated with the 2008 Beijing Olympics Air Pollution Reduction: Results from a Natural Experiment(2015)184 cited
- → Integration of Data Fusion Methodology and Degradation Modeling Process to Improve Prognostics(2014)151 cited
- → Optimize the Signal Quality of the Composite Health Index via Data Fusion for Degradation Modeling and Prognostic Analysis(2015)142 cited
- → A Bayesian deep learning framework for interval estimation of remaining useful life in complex systems by incorporating general degradation characteristics(2020)131 cited
- → An Adaptive Sampling Strategy for Online High-Dimensional Process Monitoring(2014)113 cited
- → Integration of Data-Level Fusion Model and Kernel Methods for Degradation Modeling and Prognostic Analysis(2017)104 cited
- → Multiple Sensor Data Fusion for Degradation Modeling and Prognostics Under Multiple Operational Conditions(2016)93 cited