5 papers
A Comprehensive Case Study on the Performance of Machine Learning Methods on the Classification of Solar Panel Electroluminescence Images
Xinyi Song, Kennedy Odongo, Francis G. Pascual +1
Photovoltaics (PV) are widely used to harvest solar energy, an important form of renewable energy. Photovoltaic arrays consist of multiple solar panels constructed from solar cells…
Multivariate Functional Clustering with Variable Selection and Application to Sensor Data from Engineering Systems
Zhongnan Jin, Jie Min, Yili Hong +2
Multi-sensor data that track system operating behaviors are widely available nowadays from various engineering systems. Measurements from each sensor over time form a curve and can…
A Spatially Correlated Competing Risks Time-to-Event Model for Supercomputer GPU Failure Data
Jie Min, Yili Hong, William Q. Meeker +1
Graphics processing units (GPUs) are widely used in many high-performance computing (HPC) applications such as imaging/video processing and training deep-learning models in artific…
ADDT: An R Package for Analysis of Accelerated Destructive Degradation Test Data
Zhongnan Jin, Yimeng Xie, Yili Hong +1
Accelerated destructive degradation tests (ADDT) are often used to collect necessary data for assessing the long-term properties of polymeric materials. Based on the data, a therma…
Statistical Methods for Thermal Index Estimation Based on Accelerated Destructive Degradation Test Data
Yimeng Xie, Zhongnan Jin, Yili Hong +1
Accelerated destructive degradation test (ADDT) is a technique that is commonly used by industries to access material's long-term properties. In many applications, the accelerating…