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Information Technology Journal
  Year: 2013 | Volume: 12 | Issue: 2 | Page No.: 338-344
DOI: 10.3923/itj.2013.338.344
A Novel Detector Generation Scheme for Detecting the Level of Abnormality of Equipment
Yinghui Liu, Shulin Liu and Yuzhen Li

Abstract:
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.
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How to cite this article:

Yinghui Liu, Shulin Liu and Yuzhen Li, 2013. A Novel Detector Generation Scheme for Detecting the Level of Abnormality of Equipment. Information Technology Journal, 12: 338-344.

DOI: 10.3923/itj.2013.338.344

URL: https://scialert.net/abstract/?doi=itj.2013.338.344

 
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