103
Views
5
CrossRef citations to date
0
Altmetric
Original Articles

Software Reliability Evaluation of Digital Relaying for Power Transmission Lines

, , &
Pages 1260-1274 | Received 16 Jan 2009, Accepted 05 Apr 2009, Published online: 19 Oct 2009
 

Abstract

A digital relay can be conceived as a digital signal processor in which the values of line currents and voltages are continuously monitored and processed. Hence, the heart of the digital relay is the software used for implementing the relaying algorithms in an efficient way. Assessment of software reliability is an area of utmost importance for such software-based systems for safety-critical applications such as digital relaying of power transmission lines. But software testing of safety-critical systems is particularly challenging because of the availability of meager failure data. Therefore, this article presents a methodology for estimating software reliability of digital relaying using statistics of extremes. The unique advantages of using such a methodology are the independence of the evaluation of the test sampling order, the amount of available data, and a priori knowledge about the underlying distribution of any parameter. The case studies demonstrate the efficacy of proposed methodology for evaluating the software reliability for digital relaying of transmission lines.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 412.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.