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July 20, 2017

Download GATE (Electrical) Previous Year Question Papers PDF [1991-2017]

July 20, 2017 0

Download GATE (Electrical) Question Paper for the year 2017

Download GATE (Electrical) Question Paper for the year 2016

Download GATE (Electrical) Question Paper for the year 2015

SET-1, SET-2

Download GATE (Electrical) Question Paper for the year 2014

SET-1, SET-2, SET-3

Download GATE (Electrical) Question Paper for the year 2013

Download GATE (Electrical) Question Paper for the year 2012

Download GATE (Electrical) Question Paper for the year 2011

Download GATE (Electrical) Question Paper for the year 2010

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Download GATE (Electrical) Question Paper for the year 2001

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Download GATE (Electrical) Question Paper for the year 1999

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Download GATE (Electrical) Question Paper for the year 1992

Download GATE (Electrical) Question Paper for the year 1991

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Why don't we use copper wire as a fuse wire?

July 20, 2017 0
Why don't we use copper wire as a fuse wire

Fuse is a Safety device which protects an electrical device from fault. Whenever there is a fault, a short circuit current will flow that leads to the generation of high heat. This heat will damage the electrical appliance if the circuit does not open in time. So a fuse is placed in the circuit that will melt and cut the circuit from the source in case of high temperature which is generated due to faults in the circuit. Fuse is basically a piece of wire of a material with a low melting point. When a high current flows through the circuit due to Overloading or a Short circuit, the wires get heated and melts. As a result, the circuit is broken and current stops flowing.

On the other hand, copper wire cannot be used as a fuse wire because it has a high melting point(1094 deg C approx). Copper will not melt easily when a high electric current passes through it and may damage the electrical appliances.

Here are some points regarding fuse wire material that you should understand.

  • Fuse element will not melt or heated during normal rated current.
  • Fuse element with the lower melting point is used i.e. an alloy of copper, tin etc.



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July 18, 2017

Parametric and Non-Parametric Models

July 18, 2017 0
In this article, we will learn the basic difference between Parametric and Non-Parametric Models

Parametric Models


  • It represents the relation between input and output by means of equations.
  • It contains the finite number of explicit parameters.
  • Model coefficients are not known exactly.
  • White box models are the parametric models.
  • For example: differential equations in mathematical model.


Non-Parametric Models


  • It represents the relation between input and output by means of a table or curve.
  • It does not exhibit a certain structure.
  • Model coefficients are more precise for the given system within operating limits.
  • It has infinite dimensions.
  • Black box models are the non-parametric models.
  • For example: impulse response,  step response, frequency response, etc.
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Factors limiting Identification

July 18, 2017 0
Factors limiting Identification


  • Available measurement time is always limited.
  • The maximum allowable change of input signal is always limited.
  • The maximum allowable change in the output may also be limited.
  • Linearity assumption may be valid only for small region of operation.
  • Disturbance signal having different components.example- deterministic, stochastic or completely unknown.
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Types of Identification

July 18, 2017 0
There are 3 types of Identification

  • Deterministic Identification
  • Stochastic Identification
  • Complete system Identification
1. Deterministic Identification

The process noise v(t) is absent and measurement noise w(t) is present. We estimate system output y(t). Find relation between input u(t) and output y(t). Measurement of input u(t) and measured output z(t) are given.

2. Stochastic Identification

The process noise v(t) and measurement noise w(t) are present. Find relation between w(t) and system output y(t). Measurement of input u(t), measured output z(t) and statistical information about w(t) are given.

3. Complete system Identification

Measurement of input u(t) and measured output z(t) are given. Estimate both stochastic and deterministic components of the model.
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Download AMU M.Tech(Electrical) First Semester Previous Year Question Papers

July 18, 2017 0

Now you can download AMU M.Tech (Electrical)  First Semester Previous Year Papers easily on electricalvoice website.

For Branches:

Instrumentation & Control
Power System
High Voltage


Advanced Electrical Drives-I 2010-2011

Advanced Electrical Drives-I 2012-2013

Advanced Electrical Drives-I 2013-2014

Advanced Electrical Drives-I 2014-2015

Advanced Electrical Drives-I 2015-2016

Advanced Electrical Drives-I 2016-2017



Advanced Instrumentation 2010-2011

Advanced Instrumentation 2011-2012

Advanced Instrumentation 2012-2013

Advanced Instrumentation 2013-2014

Advanced Instrumentation 2014-2015

Advanced Instrumentation 2015-2016

Advanced Instrumentation 2016-2017


Advanced Power Electronics 2010-2011

Advanced Power Electronics 2011-2012

Advanced Power Electronics 2012-2013

Advanced Power Electronics 2013-2014

Advanced Power Electronics 2014-2015

Advanced Power Electronics 2015-2016

Advanced Power Electronics 2016-2017


Bio-signal processing 2013-2014

Bio-signal processing 2014-2015

Bio-Instrumentation 2015-2016

Bio-Instrumentation 2016-2017


Condition monitoring of power system apparatus 2013-2014

Condition monitoring of power system apparatus 2014-2015

Condition monitoring of power system apparatus 2015-2016

Condition monitoring of power system apparatus 2016-2017


Direct Energy Conversion 2014-2015

Direct Energy Conversion 2015-2016

Direct Energy Conversion 2016-2017


Fuzzy theory and applications 2010-2011

Fuzzy theory and applications 2011-2012

Soft Computing 2014-2015

Soft Computing 2015-2016

Soft Computing 2016-2017


High Voltage generation and measurement 2014-2015

High Voltage generation and measurement 2015-2016

High Voltage generation and measurement 2016-2017


Insulation systems 2010-2011

Insulation systems 2011-2012

Insulation systems 2012-2013

Insulation systems 2013-2014

Insulation systems 2014-2015


Mathematics 2010-2011

Mathematics 2011-2012

Mathematics 2012-2013

Mathematics 2013-2014

Mathematics 2014-2015

Mathematics 2015-2016

Mathematics 2016-2017


Network theory 2010-2011

Network theory 2011-2012

Network theory 2012-2013

Network theory 2014-2015


Optimal Control Systems 2009-2010

Optimal Control Systems 2010-2011

Optimal Control Systems 2011-2012

Optimal Control Systems 2012-2013

Optimal Control Systems 2013-2014

Optimal Control Systems 2014-2015

Optimal Control Systems 2015-2016

Optimal Control Systems 2016-2017


Power Apparatus and system modelling 2010-2011

Power Apparatus and system modelling 2011-2012

Power Apparatus and system modelling 2012-2013

Power Apparatus and system modelling 2013-2014

Power Apparatus and system modelling 2014-2015

Power Apparatus and system modelling 2015-2016

Power Apparatus and system modelling 2016-2017


Power System Analysis 2010-2011

Power System Analysis 2011-2012

Power System Analysis 2012-2013

Power System Analysis 2013-2014

Power System Analysis 2014-2015

Power System Analysis 2015-2016

Power System Analysis 2016-2017


Power System Monitoring 2012-2013


Process Instrumentation 2010-2011

Process Instrumentation 2011-2012

Process Instrumentation 2012-2013

Process Instrumentation 2013-2014

Process Instrumentation 2014-2015

Process Instrumentation 2015-2016

Process Instrumentation 2016-2017


Robust and Adaptive Control 2015-2016

Robust and Adaptive Control 2016-2017


Special Purpose Radar 2012-2013


Stochastic Process 2014-2015

Stochastic Process 2015-2016
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