An Adaptive Incremental Learning Algorithm based on Shared Nearest Neighbors in Fault Detection
2021 Computing, Communications and IoT Applications (ComComAp)(2021)
摘要
Incremental learning technology has been widely used in the field of fault diagnosis. Traditional incremental learning model frequent update to avoid losing knowledge of new samples. In this paper, we propose a adaptive incremental learning algorithm based on shared nearest neighbors (AIL-SNN), which controls the incremental update by detecting the concept drift. The algorithm in this paper is ver...
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关键词
Fault diagnosis,Training,Adaptation models,Fault detection,Computational modeling,Delays,Internet of Things
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