Improved fault detection in cable television networks

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dc.contributor.authorKourounakis, Nicolaos P.en_US
dc.date.accessioned2024-08-14T18:33:51Z
dc.date.available2024-08-14T18:33:51Z
dc.date.copyright1998en_US
dc.date.issued1998
dc.degree.departmentDepartment of Electrical and Computer Engineering
dc.degree.levelMaster of Science M.Sc.en
dc.description.abstractThis thesis presents a novel model-based fault detection system specifically designed to offer improved fault detection for the reverse pilot of cable television networks. The approach, however, is general and can be applied to a variety of large scale engineering plants. For the modeling part of the system, feedforward neural networks and statistical analysis techniques are employed. A description of these techniques as well as the fault detection methodology used is provided. Finally, this thesis presents the results of a large scale experiment on which the fault detection properties of the developed technique were evaluated and compared to those of limit checking fault detection.
dc.format.extent128 pages
dc.identifier.urihttps://hdl.handle.net/1828/18489
dc.rightsAvailable to the World Wide Weben_US
dc.titleImproved fault detection in cable television networksen_US
dc.typeThesisen_US

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