Technical Programme

Session: C01Prognostic and Health Management in Evolving Environments


Stacking Ensembles of Heterogenous Classi6iers for Fault Detection in Evolving Environments
Mohammed Ghaith Altarabichi, Peyman Mashhadi, Yuantao Fan, Sepideh Pashami, Sławomir Nowaczyk, Pablo Del Moral, Mahmoud Rahat and Thorsteinn Rögnvaldsson


Scenario-Based Generalization Bound for Anomaly Detection Support Vector Machine Ensembles
Roberto Rocchetta, Milan Petkovic and Qi Gao


A Deep Learning Framework For Health Anomaly Detection of Multi-component Systems in Evolving Environments: A Case Study in PHM
Shahin Siahpour, Abhijeet Ainapure, Xiang Li and Jay Lee


The Aramis Data Challenge: Prognostics and Health Management in Evolving Environments
Francesco Cannarile, Michele Compare, Piero Baraldi, Zhe Yang and Enrico Zio