Question:

Change in signal over long period of time is called

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Drift is a common issue in many electronic systems and sensors. It can significantly affect the accuracy of measurements over extended periods. Regular calibration and using components with good long-term stability are crucial to minimize drift. In some applications, software compensation algorithms are used to counteract the effects of drift.
Updated On: July 22, 2025
  • \( \text{Noise} \)
  • \( \text{Offset} \)
  • \( \text{Hysteresis} \)
  • \( \text{Drift} \)
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The Correct Option is D

Solution and Explanation

To solve this problem, let's analyze the given options and understand which term correctly describes a change in signal over a long period of time.

1. Understanding the Key Concept

The question asks about a change in signal over a long period of time. This refers to a gradual, persistent change in a signal's baseline or output that occurs slowly over extended durations (hours, days, or longer).

2. Analysis of Each Option

a) Noise:

  • Refers to random fluctuations in a signal
  • Occurs over short time scales (milliseconds to seconds)
  • Does not describe systematic long-term changes

b) Offset:

  • A constant deviation from the expected value
  • Remains stable over time once established
  • Does not represent gradual change

c) Hysteresis:

  • Dependence of output on the history of inputs
  • Manifests during cyclic changes, not over long periods
  • Not related to time-dependent signal changes

d) Drift:

  • Gradual change in signal output over time
  • Can be caused by aging components, temperature effects, or material changes
  • Exactly matches the description in the question

3. Why Drift is the Correct Answer

Drift specifically refers to:

  • Slow, often undesirable changes in instrument characteristics
  • Changes that occur over hours, days, or longer
  • Can affect both zero point (zero drift) and sensitivity (span drift)

4. Practical Examples of Drift

  • Thermocouple output changing over months due to material degradation
  • Pressure sensor baseline slowly shifting over years of use
  • Electronic circuits changing characteristics with temperature variations

5. Importance in Measurement Systems

Understanding drift is crucial because:

  • It affects measurement accuracy over time
  • Requires periodic recalibration of instruments
  • Must be considered in long-term monitoring applications

6. Final Answer

The correct term is Drift, as it specifically describes a change in signal over a long period of time.

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