An artificial immune systems approach to Case-based Reasoning applied to fault detection and diagnosis
作者：
Highlights：
• A case based reasoning aided by an immune-inspired algorithm is proposed.
• The immune network-based algorithm aims at optimizing search and recovery processes.
• The Antigen–Antibody binding provides a good methaphor for case matching.
• Two tests modalities are proposed for the developed system.
• The proposed approach is applied to fault detection and diagnosis problems.
摘要
•A case based reasoning aided by an immune-inspired algorithm is proposed.•The immune network-based algorithm aims at optimizing search and recovery processes.•The Antigen–Antibody binding provides a good methaphor for case matching.•Two tests modalities are proposed for the developed system.•The proposed approach is applied to fault detection and diagnosis problems.
论文关键词：Case-based Reasoning,Artificial immune system,Antibody,Antigen,Fault detection,Direct current motor simulation
论文评审过程：Received 8 May 2019, Revised 31 July 2019, Accepted 30 August 2019, Available online 30 August 2019, Version of Record 9 September 2019.
论文官网地址：https://doi.org/10.1016/j.eswa.2019.112906
