A Novel Detector Generation Scheme for Detecting the Level of Abnormality of Equipment

摘要

This study-presented a novel scheme of detector generation and the concept of hyperring detector was proposed. Especially, the level of abnormality in equipment was detected with this new detector generation scheme. The reverse k- nearest neighbor algorithm and the k-means clustering algorithm were used in detector generation process. The presented method was experimented with both famous benchmark Fish's Iris data and real-world datasets. Preliminary results demonstrated that the new detector generation scheme had efficiency in detecting the level of abnormality in rolling bearing faults.