Anomaly Detection in Power Quality at Data CentersThe goal during my internship at the National Center for Critical Information Processing and Storage (NCCIPS) is to implement an anomaly detection method through the StruxureWare SCADA Power Monitoring system. The benefit of the anomaly detection mechanism is to provide the capability to detect and anticipate equipment degradation by monitoring power quality prior to equipment failure. First, a study is conducted that examines the existing techniques of power quality management. Based on these findings, and the capabilities of the existing SCADA resources, recommendations are presented for implementing effective anomaly detection. Since voltage, current, and total harmonic distortion demonstrate Gaussian distributions, effective set-points are computed using this model, while maintaining a low false positive count.
Document ID
20160006900
Acquisition Source
Stennis Space Center
Document Type
Presentation
Authors
Grichine, Art (California State Univ. Fullerton, CA, United States)
Solano, Wanda M. (NASA Stennis Space Center Stennis Space Center, MS, United States)
Date Acquired
June 1, 2016
Publication Date
January 1, 2015
Subject Category
Electronics And Electrical EngineeringComputer Programming And Software