Efficient feature selection for enhanced chiller fault diagnosis: A multi-source ranking information-driven ensemble approach
Efficient feature selection for enhanced chiller fault diagnosis: A multi-source ranking information-driven ensemble approach
Zhanwei Wang,Penghua Xia,4 Authors,Chunxiao Zhang
2024 · DOI: 10.1007/s12273-024-1199-1
Building Simulation · 4 Citations
TLDR
A robust ensemble FS method based on multi-source ranking information (MSRI) is proposed, which fully leverages Mutual Information, Information Gain, Gain Ratio, Gini index, Chi-squared, and Relief-F from both qualitative and quantitative perspectives.