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.