Difficulty: Easy
Correct Answer: False
Explanation:
Introduction / Context:
Root-mean-square (RMS) and average (mean) values are general mathematical constructs used to quantify the magnitude of time-varying signals. In electrical engineering, they are crucial for relating AC signals to equivalent DC heating or computing offsets and energy. This question addresses a common misconception that these metrics are defined only for sinusoidal waveforms.
Given Data / Assumptions:
Concept / Approach:
The RMS value of a signal x(t) over a period T is defined as x_rms = sqrt((1/T) * ∫_0^T x(t)^2 dt). The average (mean) over a period is x_avg = (1/T) * ∫_0^T x(t) dt. Neither definition requires x(t) to be sinusoidal; they apply universally to any signal for which these integrals exist. For non-sinusoidal periodic waveforms such as square, triangular, or PWM waveforms, RMS and average values are routinely computed and used for power and control design. Even for random signals, RMS is used (e.g., noise RMS).
Step-by-Step Solution:
Verification / Alternative check:
Standards for power quality and instrumentation specify RMS measurement of arbitrary waveforms (true-RMS meters) precisely because non-sinusoidal loads are common. Average values are similarly computed for any waveform to determine offsets or rectified averages.
Why Other Options Are Wrong:
Common Pitfalls:
Final Answer:
False
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