Monitoring diagnosis device for electrical appliance

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307201, 307464, 364550, 395 21, 395 23, 395 24, 395 50, 395911, 395912, G06F 1520

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active

053052358

ABSTRACT:
A monitoring diagnostic device for an electrical appliance such as gas insulated switchgear includes a sensor, such as an acceleration sensor, and a neural network including an input layer, an intermediate layer, and an output layer, each consisting of a plurality of neural elements. The input, intermediate and output layers are coupled to each other via a plurality of connection weights. The output of the sensor is first processed and then is supplied to the neural elements of the input layer. The connection weights are adjusted by means of learning data such that the output from the neural elements of the output layer of the neural network correctly identifies the causes of abnormality of the electrical appliance.

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"Preventive Maintenance System for Gas Insulated Switchgear Using an Artificial Neural Network"; Hiromi Ogi, et al.; Third Symposium on Expert Systems Application to Power Systems; Japan; pp. 627-633; Apr. 1-5, 1991.
"Fault Diagnosis System for GIS Using an Artificial Neural Network"; Ogi et al.; Proceedings on the First International Forum on Applications to Neural Networks to Power Systems; Seattle, Washington; pp. 112-116; Jul. 23-26, 1991.
T. Yamagiwa et al., "Development of Preventive Maintenance System for Highly Reliable Gas Insulated Switchgear," 90 WH 160-2 PWRD, 1990 IEEE.

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