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Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/677

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contributor.authorMishra, Saroj Kumar-
contributor.authorPanda, G (Guide)-
date.accessioned2008-04-25T11:31:21Z-
date.available2008-04-25T11:31:21Z-
date.issued2006-
identifier.citationDesign , Development and Performance Evaluation of Intelligence Sensors, Thesis submitted in partial fulfillment of the requirements for the degree of the Master of Technology by Research in Electronics, to National Institute of Technology, Rourkelaen
identifier.urihttp://hdl.handle.net/2080/677-
descriptionCopyright for the article belongs to National Institute of Technology Rourkelaen
description.abstractMany electronic devices, instruments and sensors exhibit inherent nonlinear input-output characteristics. Nonlinearity also creeps in due to change in environmental conditions such as temperature and humidity. In addition, aging of the sensors also introduce nonlinearity. Due to such nonlinearities direct digital readout is not possible. As a result the devices or sensors are used only in the linear region of their characteristics. In other words the usable range of these devices gets restricted due to nonlinearity problem. The accuracy of measurement is also affected if the full range of the instrument is used. The nonlinearity present in the characteristics is usually time-varying and unpredictable as it depends on many uncertain factors stated above. Hence the prime objective of the thesis is to study the nonlinearity problem associated with these devices and suggest novel methods of circumventing these effects by suitably designing intelligent systems. In the present investigation, sensors such as, capacitive pressure sensor (CPS), linear variable differential transformer (LVDT) and control valve actuator are selected for adaptive linearization. In corporation of the intelligent inverse model is in series with the nonlinear device alleviates the associated nonlinearity and permits accurate measurement for the full dynamic range. The existing fixed type nonlinearity compensators are not be effective for time varying nonlinear devices. However, adaptive techniques using Artificial Neural Network (ANN) are better candidates for solving such problems. Therefore, in the present thesis, the following major tasks have been carried out.en
format.extent2166534 bytes-
format.mimetypeapplication/pdf-
language.isoen-
publisherNational Institute of Technology, Rourkelaen
titleDesign , Development and Performance Evaluation of Intelligence Sensorsen
typeArticleen
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