Feature optimization method for the localization technology on loose particles inside sealed electronic equipment
作者：
Highlights：
• Shift the research focus to the features in the localization data set.
• Features in data set were processed with approximately the same scale.
• Newly designed multi-channel weighted threshold feature selection method.
• Achieve the highest plane and spatial localization accuracy in related field.
• An important supplement to the existing loose particle localization technology.
摘要
•Shift the research focus to the features in the localization data set.•Features in data set were processed with approximately the same scale.•Newly designed multi-channel weighted threshold feature selection method.•Achieve the highest plane and spatial localization accuracy in related field.•An important supplement to the existing loose particle localization technology.
论文关键词：Feature optimization,Missing value processing,Standardization and normalization,Multi-channel weighted threshold feature selection method,Localization technology on loose particles
论文评审过程：Received 7 May 2021, Revised 16 April 2022, Accepted 9 May 2022, Available online 13 May 2022, Version of Record 25 May 2022.
论文官网地址：https://doi.org/10.1016/j.eswa.2022.117569
