Fault Detection and Diagnosis in dynamic systems using Weightless Neural Networks
作者：
Highlights：
• Weightless Neural Networks for Fault Detection and Diagnosis in dynamic systems.
• Several methods for data pre-processing (input patterns mapping) are evaluated.
• Attributes selection per class to pre-processing multivariate data.
• The importance of counting and bleaching in classification is shown.
• Successful Fault Detection and Diagnosis systems with accuracies around 99%.
摘要
•Weightless Neural Networks for Fault Detection and Diagnosis in dynamic systems.•Several methods for data pre-processing (input patterns mapping) are evaluated.•Attributes selection per class to pre-processing multivariate data.•The importance of counting and bleaching in classification is shown.•Successful Fault Detection and Diagnosis systems with accuracies around 99%.
论文关键词：Fault Detection and Diagnosis,Weightless Neural Networks,Time series
论文评审过程：Received 28 December 2016, Revised 7 May 2017, Accepted 8 May 2017, Available online 8 May 2017, Version of Record 13 May 2017.
论文官网地址：https://doi.org/10.1016/j.eswa.2017.05.020
