A. Z. Arifin and A. Asano, "Image segmentation by histogram thresholding using hierarchical cluster analysis," Pattern Recognition Letters, Vol. 27, No. 13, pp. 1515-1521, 2006.

has been cited by the following article:

• TITLE: Fault Detection Based on Hierarchical Cluster Analysis in Wide Area Backup Protection System

  AUTHORS: Yagang ZHANG, Jinfang ZHANG, Jing MA, Zengping WANG

  KEYWORDS: wide area backup protection, phasor measurement unit, PMU, wide area measurement system, WAMS, fault detection, cluster analysis

  JOURNAL NAME: Energy and Power Engineering, Vol.1 No.1, August 18, 2009

  ABSTRACT: In wide area backup protection of electric power systems, the prerequisite of protection device's accurate, fast and reliable performance is its corresponding fault type and fault location can be discriminated quickly and defined exactly. In our study, global information will be introduced into the backup protection system. By analyzing and computing real-time PMU measurements, basing on cluster analysis theory, we are using mainly hierarchical cluster analysis to search after the statistical laws of electrical quantities' marked changes. Then we carry out fast and exact detection of fault components and fault sections, and finally accomplish fault isolation. The facts show that the fault detection of fault component (fault section) can be performed successfully by hierarchical cluster analysis and calculation. The results of hierarchical cluster analysis are accurate and reliable, and the dendrograms of hierarchical cluster analysis are in intuition.