Artificial Immune System for Condition Monitoring Based on Euclidean Distance Minimization

摘要: In recent years new alternative diagnostics methodologies have emerged, with particular interest to machineries operating in non-stationary conditions, which shown be a severe limit for standard consolidated approaches. this paper focuses on the condition monitoring of ball-bearings variable-speed applications. context aims present simple method inspired and derived from mechanisms immune system, its application real case bearing faults recognition. The proposed algorithm is simplification original process, adapted much bigger class algorithms methods grouped under name Artificial Immune Systems, proven useful promising many different fields. based Euclidean distance minimization evaluation binding between antigens. Experimental results are also provided an explanation functioning.