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Title: AUTOCONFIGURING ARTIFICIAL NEURAL NETWORK APPLIED TO FAULT DIAGNOSIS IN POWER SYSTEM
Page Link: AUTOCONFIGURING ARTIFICIAL NEURAL NETWORK APPLIED TO FAULT DIAGNOSIS IN POWER SYSTEM -
Posted By: seminar surveyer
Created at: Thursday 14th of October 2010 03:35:55 PM
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Prepared by:
M.CHANDANA
P.HARITHA




Introduction

The fault diagnosis of a power system provides an effective means to get information about system restoration and maintenance of the power system. Artificial intelligence has been successfully implemented on fault diagnosis and system monitoring. Expert systems are used by defining rules, for a fault diagnosis. In the present work particularly a new method of “AI” namely “Artificial Neural Network” is used as diagnosin ....etc

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Title: NEURAL NETWORK BASED HEPATITIS DIAGNOSIS
Page Link: NEURAL NETWORK BASED HEPATITIS DIAGNOSIS -
Posted By: project topics
Created at: Thursday 04th of August 2011 06:10:18 PM
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NEURAL NETWORK BASED HEPATITIS DIAGNOSIS

The most important advantages using artificial neural networks is that this kind of system solves problems that are too complex for conventional technologies, do not have an algorithmic solution or the solution is too complex to be used.These characteristics have often appeared in medicine. Artificial neural networks have been successfully applied on various areas of medicine, such as: diagnostic systems, biomedical analysis, image analysis, drug deve ....etc

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Title: FAULT DIAGNOSIS OF ELECTRONIC SYSTEM USING AI
Page Link: FAULT DIAGNOSIS OF ELECTRONIC SYSTEM USING AI -
Posted By: seminar projects crazy
Created at: Saturday 31st of January 2009 01:49:20 PM
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In an increasingly competitive marketplace system complexity continues to grow, but time-to-market and lifecycle are reducing. The purpose of fault diagnosis is the isolation of faults on defective systems, a task requiring a high skill set. This has driven the need for automated diagnostic tools. Over the last two decades, automated diagnosis has been an active research area, but the industrial acceptance of these techniques, particularly in cost-sensitive areas, has not been high. This paper reviews this research, primarily covering rule-base ....etc

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Title: abstract and block diagram of fault diagnosis of electronic system using ai
Page Link: abstract and block diagram of fault diagnosis of electronic system using ai -
Posted By: david48
Created at: Monday 30th of January 2012 12:35:53 PM
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Title: Fault Diagnosis Of Electronic System using AI
Page Link: Fault Diagnosis Of Electronic System using AI -
Posted By: computer science crazy
Created at: Monday 22nd of September 2008 02:40:34 AM
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In an increasingly competitive marketplace system complexity continues to grow, but time-to-market and lifecycle are reducing. The purpose of fault diagnosis is the isolation of faults on defective systems, a task requiring a high skill set.

This has driven the need for automated diagnostic tools. Over the last two decades, automated diagnosis has been an active research area, but the industrial acceptance of these techniques, particularly in cost-sensitive areas, has not been high.

This paper reviews this research, primarily covering r ....etc

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Title: Fault Diagnosis Platform for Radar Circuit Based on Virtual Instrument
Page Link: Fault Diagnosis Platform for Radar Circuit Based on Virtual Instrument -
Posted By: Wifi
Created at: Friday 08th of October 2010 09:14:46 PM
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a fault diagnosis platform for Radar circuit is developed here based on the PXI & GPIB Hybrid Bus and virtual instrument technology. Alongwith it a
fuzzy fault tree reasoning algorithm is also described. The platform has two main parts namely hardware and software. The hardware part again is built-in controller and 3 kind of virtual instruments namely digital storage oscilloscope,
digital multimeter and a spectrum analyzer.a fuzzy fault tree reasoning algorithm is used for constructing the software. an
expert knowledge database containing a ....etc

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Title: AUTOCONFIGURING ARTIFICIAL NEURAL NETWORK APPLIED TO FAULT DIAGNOSIS IN POWER SYSTEMS
Page Link: AUTOCONFIGURING ARTIFICIAL NEURAL NETWORK APPLIED TO FAULT DIAGNOSIS IN POWER SYSTEMS -
Posted By: computer science technology
Created at: Sunday 24th of January 2010 08:39:12 PM
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AUTOCONFIGURING ARTIFICIAL NEURAL NETWORK APPLIED TO FAULT DIAGNOSIS IN POWER SYSTEMS

INTRODUCTION:
The fault diagnosis of a power system provides an effective means to
get information about system restoration and maintenance of the power
system. Artificial intelligence has been successfully implemented on
fault diagnosis and system monitoring. Expert systems are used by
defining rules, for a fault diagnosis. In the present work particularly
a new method of AI namely Artificial Neural Network is used ....etc

[:=Read Full Message Here=:]
Title: Fault Diagnosis Of Electronic System using AI
Page Link: Fault Diagnosis Of Electronic System using AI -
Posted By: computer science crazy
Created at: Sunday 15th of February 2009 03:17:57 PM
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In an increasingly competitive marketplace system complexity
continues to grow, but time-to-market and lifecycle are reducing. The
purpose of fault diagnosis is the isolation of faults on defective
systems, a task requiring a high skill set.This
has driven the need for automated diagnostic tools. Over the last two
decades, automated diagnosis has been an active research area, but the
industrial acceptance of these techniques, particularly in
cost-sensitive areas, has not been high.This
paper reviews this research, primarily covering rul ....etc

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Title: Artificial Neural Network Systems
Page Link: Artificial Neural Network Systems -
Posted By: computer science crazy
Created at: Monday 22nd of September 2008 02:02:44 AM
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Artificial Neural Network (ANN) is a system loosely modeled on human brain. It tries to obtain a performance similar to that of human?s performance while solving problems. As a computational system it is made up of a large number of simple and highly interconnected processing elements which process information by its dynamic state response to external inputs. Computational elements in ANN are non-linear and so the results come out through non-linearity can be more accurate than other methods. These non-linear computational elements will be work ....etc

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Title: FAULT DIAGNOSIS OF ELECTRONIC SYSTEM USING AI
Page Link: FAULT DIAGNOSIS OF ELECTRONIC SYSTEM USING AI -
Posted By: smart paper boy
Created at: Friday 15th of July 2011 01:47:26 PM
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In an increasingly competitive marketplace system complexity continues to grow, but time-to-market and lifecycle are reducing. The purpose of fault diagnosis is the isolation of faults on defective systems, a task requiring a high skill set. This has driven the need for automated diagnostic tools. Over the last two decades, automated diagnosis has been an active research area, but the industrial acceptance of these techniques, particularly in cost-sensitive areas, has not been high. This paper reviews this research, primarily covering rule-b ....etc

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