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Journal ArticleDOI

Evaluation of feeder monitoring parameters for incipient fault detection using Laplace trend statistic

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TLDR
In this article, a systematic and cumulative statistical approach for identifying symptom parameters of incipient faults in distribution feeders is proposed, which aims at providing a tool for evaluating and identifying the best and highly correlated parameters to the faults so that they could be used for incipient fault detection and feeder condition monitoring.
Abstract
This paper focuses on a systematic and cumulative statistical approach for identifying symptom parameters of incipient faults in distribution feeders. The proposed method aims at providing a tool for evaluating and identifying the best and highly correlated parameters to the faults so that they could be used for incipient fault detection and feeder condition monitoring. The Laplace test statistic is adopted for trend analysis of the event log of candidate parameters and applied to actual feeder event data for online detection and monitoring purposes.

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Proceedings ArticleDOI

Feasibility, challenges, and performance of wireless multi-hop routing for feeder level communication in a smart grid

TL;DR: A wireless mesh network architecture is proposed to meet communication requirements of the power distribution system, and a performance evaluation exploring connectivity and end-to-end delay when routing packets in this mesh architecture is done for the power grid topology.
Journal ArticleDOI

Analysis of sequences of events for the characterisation of faults in power systems

TL;DR: A new formalism is described for the systematic analysis of sequences of events recorded in power systems that aims to characterise sequential patterns, or episodes, formed by ordered sets of events associated with faults in the power system.
Proceedings ArticleDOI

Trend analysis techniques for incipient fault prediction

TL;DR: In this article, the authors extended the application of the Laplace Test Statistic for trend analysis and prediction of incipient faults for power systems, where two parameters that contribute explicitly to the eventual failure are monitored.
Proceedings ArticleDOI

Temporal Analysis of Power System Measurements for Condition Assessment Purposes

TL;DR: In this paper, a condition assessment methodology based on the incipient behavior of the system was proposed to assess the severity of captured incipient abnormalities preceding the cable faults in an underground cable lateral.
Journal ArticleDOI

Travelling waves-based identification of sub-health condition of feeders in power distribution system

TL;DR: In this article, a method based on travelling waves was proposed to identify sub-health condition, which represents the degradation of feeder before the feeder fails into a permanent fault.
References
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Journal ArticleDOI

Error log analysis: statistical modeling and heuristic trend analysis

TL;DR: The authors present the results of an analysis that demonstrates that the log is composed of at least two error processes: transient and intermittent, and it is shown that the DFT can extract intermittent errors from the error log and uses only one fifth of the error-log entry points required for failure prediction.
Journal ArticleDOI

Online identification of magnetizing inrush and internal faults in three-phase transformers

TL;DR: In this article, a microprocessor-based system for online identification of magnetizing inrush and internal fault conditions in three-phase transformers is presented, using a digital algorithm which is based on a transformer model and can be used irrespective of whether or not it is possible to measure winding currents.
Journal ArticleDOI

The Cold Fog Test

TL;DR: In this article, the electrical performance of outdoor insulation degrades severely during combinations of factors that include surface contamination (C), ice (I), fog (F) and an ambient temperature that rises through 0 C (T{sub 0{degree}}).
Journal ArticleDOI

The cold-fog test [for outdoor insulators]

TL;DR: In this paper, the electrical performance of outdoor insulation degrades severely during combinations of factors that include surface contamination, ice, fog and an ambient temperature that rises through 0/spl deg/C (T(0/spl dec deg/c), and failure occurs with increasing probability under those conditions.
Journal ArticleDOI

Spurious exponentiality observed when incorrectly fitting a distribution to nonstationary data

TL;DR: In this paper, the authors show that when the information in the chronological order of interarrival times is ignored, they often appear spuriously exponential, leading to the impression that the system can be modeled using a homogeneous Poisson process.
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