Data Analysis for the Detection of High Voltage Activity Using Non-Contact Sensors

Abstract

This research examines the ability to detect the electrostatic field generated by an electric current moving through a medium- and low-voltage system. Two different commercially available electrostatic fieldmeters were purchased in order to collect data within the range of zero to five meters from the power source. Detection of this electrostatic field is useful in predicting the operational state of equipment that is connected to the power source. This data is particularly important if access to the power source is blocked by HAZMAT contamination, radioactive contamination, or barriers established by foreign governments and nongovernmental organizations. This experiment includes the collection of data utilizing electrostatic fieldmeters on known voltage sources. For this study, the voltage sources tested are 110V, 460V, and 4160V. Data collected with the two non-contact electrostatic fieldmeters was analyzed statistically utilizing the independent sample t-test. This test is particularly informative when the sample size is small and the variance is unknown. Since this research utilizes a sample of the data, it is necessary to perform hypothesis testing to analyze if the sample is a good representation of the entire data set. Results of this test show that the electrostatic field around an energized piece of equipment is detectable using both of the commercially purchased sensors on the 110V, 460V, and 4160V systems.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2020
Accession Number
AD1114532

Entities

People

  • William A. Freiberg

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Energy and Power Technologies
  • Sensors

DTIC Thesaurus Topics

  • Air Compressors
  • Data Analysis
  • Data Sets
  • Electric Current
  • Electric Fields
  • Electricity
  • Electromagnetic Fields
  • Electrostatic Fields
  • Government (Foreign)
  • Governments
  • High Voltage
  • Measurement
  • Nongovernmental Organizations
  • Static Electricity
  • Statistical Analysis
  • Unmanned Aerial Vehicles
  • Voltage

Readers

  • Plasma Physics.
  • Regression Analysis.
  • Sensor Fusion and Tracking Systems.