1989
DOI: 10.1109/mper.1989.4310880
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Survey on Excessive Alarms

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Cited by 30 publications
(9 citation statements)
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“…synchrophasors, SCADA PI historian database and IED non-operational data can be retrieved and integrated. Since different measurement equipment produces data in quite different formats, the conversion of data into certain standard formats is also necessary [5]. After the measurements have been concentrated and converted to applicable data files, they are processed in different application modules, including optimized fault location, intelligent alarm processing, and other applications (e.g.…”
Section: A Data Sources and Applicationsmentioning
confidence: 99%
See 1 more Smart Citation
“…synchrophasors, SCADA PI historian database and IED non-operational data can be retrieved and integrated. Since different measurement equipment produces data in quite different formats, the conversion of data into certain standard formats is also necessary [5]. After the measurements have been concentrated and converted to applicable data files, they are processed in different application modules, including optimized fault location, intelligent alarm processing, and other applications (e.g.…”
Section: A Data Sources and Applicationsmentioning
confidence: 99%
“…To adapt to the new situation, intelligent alarm processor has been developed to aid operators recognize the nature of the disturbances. Meanwhile, various fault location algorithms have been presented in the literature in the past [3][4][5]. In order to be able to evaluate which algorithms are applicable for a given fault event, different data sources (measurements) should be utilized and the idea of optimized fault location which takes into account both temporal and spatial considerations has been proposed [6].…”
Section: Introductionmentioning
confidence: 99%
“…Three types, singles, doubles, and triples, are third order polynomials with one, two, or three inputs, respectively. For example, the algebraic form of the triple node is described in (1). Output (1) where denote the trained coefficients and represent the input variables. Notably, the doubles and triples have crossterms, allowing interaction among the node input variables.…”
Section: B Abductive Reasoning Network (Arn)mentioning
confidence: 99%
“…Previously, rule-based expert systems (ES) have offered the capacity for powerful inference and explanation for the symbolrecognizing and knowledge-intensive fault diagnosis problem [1]- [9]. However, the ES requires a precise definition of the power system configuration, and the complex protective scheme makes the knowledge base and rules extremely challenging to construct, organize, and maintain [7], [10].…”
Section: Introductionmentioning
confidence: 99%
“…In incident situations and contrary to normal situations, CCOps cannot depend on standard applications to help them to perform their duty. In [1] a survey concerning the excessive production of alarms in SCADA systems is presented and even though this survey has been conveyed over a decade and a half ago, only few of the problems it presents have been addressed by SCADA developers in order to provide standard applications for fault diagnosis. In several power transmission networks, CCOps are prepared for the hard job of fault diagnosis through theoretical learning and incident simulation, without any help from decision support applications.…”
Section: Introductionmentioning
confidence: 99%