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 Page 2


Presentaion Outline
1
Introduction
2
Errors and Its analysis
Page 3


Presentaion Outline
1
Introduction
2
Errors and Its analysis
Introduction
Introduction
Methods
Direct Methods
Measured quantity compared against a standard.
Indirect Methods
Classi?cation of Instruments
Absolute Instruments
Magnitude of the measured quantity in terms of physical constants.
Ex: Tangent Galvanometer, Rayleigh’s Current Balance.
Secondary Instruments
Magnitude of the measured quantity by observing output indicated by
the instruments.
Instruments are calibrated with Absolute or other secondary
instruments.
Page 4


Presentaion Outline
1
Introduction
2
Errors and Its analysis
Introduction
Introduction
Methods
Direct Methods
Measured quantity compared against a standard.
Indirect Methods
Classi?cation of Instruments
Absolute Instruments
Magnitude of the measured quantity in terms of physical constants.
Ex: Tangent Galvanometer, Rayleigh’s Current Balance.
Secondary Instruments
Magnitude of the measured quantity by observing output indicated by
the instruments.
Instruments are calibrated with Absolute or other secondary
instruments.
Introduction
Classi?cation of Instruments contd...
De?ection type Instruments
De?ection of the instrument provides a basis for determining the
quantity under measurement.
Accuracy depends on calibration.
More suitable to measurements under dynamic conditions.
Null type Instruments
A zero indication in the instrument leads to the determination of the
magnitude of the measured quantity.
Accuracy of these instruments is high.
Highly Sensitive
Page 5


Presentaion Outline
1
Introduction
2
Errors and Its analysis
Introduction
Introduction
Methods
Direct Methods
Measured quantity compared against a standard.
Indirect Methods
Classi?cation of Instruments
Absolute Instruments
Magnitude of the measured quantity in terms of physical constants.
Ex: Tangent Galvanometer, Rayleigh’s Current Balance.
Secondary Instruments
Magnitude of the measured quantity by observing output indicated by
the instruments.
Instruments are calibrated with Absolute or other secondary
instruments.
Introduction
Classi?cation of Instruments contd...
De?ection type Instruments
De?ection of the instrument provides a basis for determining the
quantity under measurement.
Accuracy depends on calibration.
More suitable to measurements under dynamic conditions.
Null type Instruments
A zero indication in the instrument leads to the determination of the
magnitude of the measured quantity.
Accuracy of these instruments is high.
Highly Sensitive
Introduction
Classes of instruments
Indicating Instruments.
Recording Instruments.
Integrating Instruments.
Principle of Operation
Magnetic effect
Heating effect
Electrostatic effect
Electromagnetic effect
Hall effect
Read More
3 videos|39 docs|22 tests

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FAQs on Short Notes: Error Analysis - Electrical and Electronic Measurements - Electrical Engineering (EE)

1. What is error analysis in electrical engineering?
Ans. Error analysis in electrical engineering involves evaluating and quantifying the errors or uncertainties in measurements, calculations, or models within the field. It helps in understanding the accuracy and reliability of electrical systems and devices.
2. Why is error analysis important in electrical engineering?
Ans. Error analysis is crucial in electrical engineering as it helps in ensuring the precision and reliability of measurements and calculations. It allows engineers to identify potential sources of error, improve the accuracy of results, and make informed decisions in design and analysis processes.
3. What are the common sources of errors in electrical engineering measurements?
Ans. Common sources of errors in electrical engineering measurements include instrument calibration, environmental conditions, human error, electrical interference, and signal distortion. It is essential to identify and minimize these errors to obtain accurate results.
4. How can error propagation be managed in electrical engineering calculations?
Ans. Error propagation in electrical engineering calculations can be managed by using techniques such as error propagation formulas, Monte Carlo simulations, and sensitivity analysis. These methods help in estimating and controlling the impact of errors on the final results.
5. How can statistical analysis be applied to error analysis in electrical engineering?
Ans. Statistical analysis can be applied to error analysis in electrical engineering by using methods like mean square error, standard deviation, confidence intervals, and hypothesis testing. These statistical tools help in quantifying and interpreting errors in measurements and data analysis.
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