Using Audio for Detection of Partial Discharge for Preventative Maintenance of Power Grid

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Using Audio for Detection of Partial Discharge for Preventative Maintenance of Power Grid

Submitted to the Department of Architecture in partial fulfillment of the requirements for the degree of Master of Architecture at the Wentworth Institute of Technology, April 2019

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title: Using Audio for Detection of Partial Discharge for Preventative Maintenance of Power Grid

creator: Zachary Hoagland, Matt Vartanian, Ben Rosenberger

subject: partial discharge, fast Fourier transform, machine learning, data logger

description: Power Outages disrupt residential, commercial, education, and health care industries that rely on consistent energy supply. Leakage current and arcing from faulty insulation and junctions can cause partial discharge (PD) that further damages the lines. PD induces electromagnetic and audio responses that can be used for detection. This project is developing devices to record audio and algorithms for analysis and classification of potential PD related events. Such a system would help the utility company focus inspections and maintenance to minimize device and junction failures. This project is supported by Eversource.

publisher: The Douglas D. Schumann Library and Learning Commons, Wentworth Institute of Technology

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date: 2020

type: Poster

format: .pdf

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language: eng

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rights: https://rightsstatements.org/vocab/InC/1.0/

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Using Audio for Detection of Partial Discharge for Preventative Maintenance of Power Grid

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