Add to ORKGThis paper presents SHORT a knowledge-based system for fault diagnosis in power transmission networks. Differently from previous approaches to this very complex diagnostic problem, SHORT includes a knowledge representation formalism, named plot, capable of taking into account temporal aspects of component behavior, and solves the diagnostic problem as an instance of a more general class of temporal reasoning problems, called history reconstruction. Both plot formalism and history reconstruction method are illustrated in the paper through an application example. SHORT has been tested on both simulated and real cases of faults in an Italian regional transmission network, showing very good diagnostic capabilities. 1
Adequate fault diagnosis requires actual system data to discriminate between healthy behavior and va...
Abstract- The paper describes how rough set theory can extract decision rules from the data acquired...
The stable operation of a power system often depends on inscribing the faults that may arise when tr...
This thesis presents an algorithm for fault analysis and diagnosis in the power transmission network...
An application of model-based reasoning and model-based learning to an operative diagnostic domain s...
An application of model-based reasoning and model-based learning to an operative diagnostic domain s...
This document introduces an original, model-based technique for short circuit diagnosis in power tra...
Abstract: This paper presents our co-operative hybrid algorithm for fault diagnosis in power transmi...
First generation expert systems use judgemental knowledge of the human experts which use heuristic a...
This paper presents our co-operative hybrid algorithm for fault diagnosis in power transmission netw...
Aiming at that the automatic fault diagnosis method is difficult to locate the fault causes under un...
Traditional analytic models for power system fault diagnosis are usually formulated as an unconstrai...
Automated control of a large electrical power distribution network through a single controller can p...
This paper proposes a method to solve the network fault diagnosis problem using the Realistic Abduct...
In critical infrastructure, such as nuclear power generation, constituent assets are continually mon...
Adequate fault diagnosis requires actual system data to discriminate between healthy behavior and va...
Abstract- The paper describes how rough set theory can extract decision rules from the data acquired...
The stable operation of a power system often depends on inscribing the faults that may arise when tr...
This thesis presents an algorithm for fault analysis and diagnosis in the power transmission network...
An application of model-based reasoning and model-based learning to an operative diagnostic domain s...
An application of model-based reasoning and model-based learning to an operative diagnostic domain s...
This document introduces an original, model-based technique for short circuit diagnosis in power tra...
Abstract: This paper presents our co-operative hybrid algorithm for fault diagnosis in power transmi...
First generation expert systems use judgemental knowledge of the human experts which use heuristic a...
This paper presents our co-operative hybrid algorithm for fault diagnosis in power transmission netw...
Aiming at that the automatic fault diagnosis method is difficult to locate the fault causes under un...
Traditional analytic models for power system fault diagnosis are usually formulated as an unconstrai...
Automated control of a large electrical power distribution network through a single controller can p...
This paper proposes a method to solve the network fault diagnosis problem using the Realistic Abduct...
In critical infrastructure, such as nuclear power generation, constituent assets are continually mon...
Adequate fault diagnosis requires actual system data to discriminate between healthy behavior and va...
Abstract- The paper describes how rough set theory can extract decision rules from the data acquired...
The stable operation of a power system often depends on inscribing the faults that may arise when tr...