Detection and Classification of Short Transients and Interruption using Hilbert Transform

Detection and Classification of Short Transients and Interruption using Hilbert Transform

Shilpa R

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Dr. P S Puttaswamy

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α Visvesvaraya Technological University

Detection and Classification of Short Transients and Interruption using Hilbert Transform

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Abstract

Widespread use of electronics from home appliances to the control of more sophisticated and costly industrial processes has raised the awareness of power quality. Power quality disturbance is generally defined as any change in power (voltage, current, or frequency) that interferes with the normal operation of electrical equipment. The study of power quality and ways to control is a major concerned for electric utilities, large industrial companies, businesses, and even home users. The study has intensified due to equipment have become increasingly sensitive to even minute changes in the power supply voltage, current, and frequency. In electrical energy power networks, disturbances can cause problems in electronic devices so their monitoring is very fundamental. In this paper, we address the problem of disturbance detection by using Hilbert transform which is employed as an effective tool for tracking the voltage waveforms in electrical distribution systems. In addition to this classification of disturbance is carried out by using cross correlation technique. Simulation results obtained shows the accuracy and flexibility of Hilbert transform in detecting the time instants during which the disturbance has occurred. This has been tested for oscillatory transients, interruption and multiple event interruption and sag.

References

11 Cites in Article

Reference Format

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Shilpa R. 2015. \u201cDetection and Classification of Short Transients and Interruption using Hilbert Transform\u201d. Global Journal of Research in Engineering - F: Electrical & Electronic GJRE-F Volume 15 (GJRE Volume 15 Issue F4): .

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GJRE Volume 15 Issue F4
Pg. 5- 9

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Journal Specifications

Crossref Journal DOI 10.17406/gjre

Print ISSN 0975-5861

e-ISSN 2249-4596

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GJRE-F Classification: FOR Code: 090699

Submission ReceivedFebruary 11, 2015
Peer Review Double Blind
Handling Editor
Accepted March 3, 2015
Published March 15, 2015

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v1.2

Issue date

May 5, 2015

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Article Matrices

Total Score: 107

Country: India

Subject: Global Journal of Research in Engineering - F: Electrical & Electronic

Authors: Shilpa R, Dr. P S Puttaswamy (PhD/Dr. count: 1)

View Count (all-time): 239

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Total Downloads (simulated): 1981

Publish Date: 2015 05, Tue

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Total Views: 4385

Total Downloads: 1981

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