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Fault indicator

About: Fault indicator is a research topic. Over the lifetime, 10057 publications have been published within this topic receiving 143482 citations. The topic is also known as: FCI & power line fault indicator.


Papers
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Proceedings ArticleDOI
08 Oct 2007
TL;DR: In this paper, a fault dictionary based scan chain failure diagnosis technique is presented, which is up to 130 times faster with the same level of diagnosis accuracy and resolution compared with fault simulation based diagnosis technique.
Abstract: In this paper, we present a fault dictionary based scan chain failure diagnosis technique. We first describe a technique to create small dictionaries for scan chain faults by storing differential signatures. Based on the differential signatures stored in a fault dictionary, we can quickly identify single stuck-at fault or timing fault in a faulty chain. We further develop a novel technique to diagnose some multiple stuck-at faults in a single scan chain. Comparing with fault simulation based diagnosis technique, the proposed fault dictionary based diagnosis technique is up to 130 times faster with same level of diagnosis accuracy and resolution.

42 citations

01 Jan 2000
TL;DR: In this article, an accurate fault locatio11 algorithm based on sequence current distribution facbrs for
Abstract: This paper describes an accurate fault locatio11 algorithm based on sequence current distribution facbrs for

42 citations

Journal ArticleDOI
TL;DR: The IP fault model is described and a method for analyzing IP faults using standard single stuck-line- (SSL-) based fault simulators and test generation tools is provided to generate test sets that target the IP faults of the ISCAS85 benchmark circuits and a carry-lookahead adder.
Abstract: A review of traditional IC failure analysis techniques strongly indicates the need for fault models that directly analyze the function of circuit primitives. The input pattern (IP) fault model is a functional fault model that allows for both complete and partial functional verification of every circuit module, independent of the design level. We describe the IP fault model and provide a method for analyzing IP faults using standard single stuck-line- (SSL-) based fault simulators and test generation tools. The method is used to generate test sets that target the IP faults of the ISCAS85 benchmark circuits and a carry-lookahead adder. Improved IP fault coverage for the benchmarks and the adder is obtained by adding a small number of test patterns to tests that target only SSL faults. We also conducted fault simulation experiments that show IP test patterns are effective in detecting nontargeted faults such as bridging and transistor stuck-on faults. Finally, we discuss the notion of IP redundancy and show how large amounts of this redundancy exist in the benchmarks and in SSL-irredundant adder circuits.

42 citations

Journal ArticleDOI
TL;DR: In this article, a rule-based data-driven analytics method for wide-area fault detection in a power system using synchrophasor data is proposed, which relies on rules created using PMU measurement data, and does not require knowledge of the power system's topology and model.
Abstract: Synchrophasor technology, also known as wide-area monitoring system technology, utilizes phasor measurement unit (PMU) to monitor real-time system data, which can provide unique insights into the operation of a power grid. In this paper, a rule-based data-driven analytics method for wide-area fault detection in a power system using synchrophasor data is proposed. As a data-driven approach, this method relies on rules created using PMU measurement data, and does not require knowledge of the power system's topology and model. It can detect fault location (bus and line) and fault type for a particular fault event. Three common types of short circuit faults in a power grid, single-line-to-ground, line-to-line, and three-phase faults, can be identified using the proposed method. Fault thresholds used in rules are determined based on theoretical values and recorded PMU data during fault events in Bonneville power administration (BPA)'s large power grid. The proposed method is validated by comparing with the recorded field data for fault events provided by BPA. It is found that it can effectively detect most faults with a great accuracy. It has been developed into a software program, and can be readily used by utility companies.

41 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202381
2022215
202127
202061
2019116
2018160