As a sine wave passes through a circuit, it clips and the waveform in the figure is formed.
How can I find the RMS value of a full wave?
As a sine wave passes through a circuit, it clips and the waveform in the figure is formed.
How can I find the RMS value of a full wave?
This might sound a bit strange, but, really:
By calculating the RMS. It's the root mean square! So,
$$\text{RMS}=\sqrt{\frac1{T_{\text{observation}}}\int_{0}^{T_{\text{observation}}} V^2(t)\,\mathrm dt}\,,$$
nothing more, nothing less. It's really that simple!
First write an equation for one cycle of your waveform, based on what you can see on the graph (and the assumption this is indeed a sinewave with part clipped out).
$$v = \left\{ \begin{array}{ll} 15\sin \omega t & \text{for }0 <\omega t<a \\ 0 & \text{for }a<\omega t< \pi \\ 15\sin \omega t & \text{for }\pi <\omega t< 2\pi \end{array}\right. $$
Now take the definition of RMS.
$$v_\text{rms}=\sqrt{\frac1{T}\int_{0}^{T} v^2\,\mathrm dt}\,,$$
Where \$T\$ is the time we are calculating the rms over, \$\frac{2\pi}{\omega}\$ in this case.
\$\omega\$ is just an annoying constant that doesn't actually effect the final answer (time-stretching a waveform does not change it's rms), so treat it as 1 to make the algebra simpler.
Then chop-up the time interval and substitute.
$$v_\text{rms}=\sqrt{\frac1{2\pi}\left(\int_{0}^{a} (15\sin t)^2\,\mathrm dt+\int_{a}^{\pi} 0^2\,\mathrm dt+\int_{\pi}^{2\pi} (15\sin t)^2\,\mathrm dt\right)}\,,$$
We can simplify this a bit by removing the zero term and combining the other two terms by taking advantage of the fact that sin is periodic, so the integral over the range \$2\pi\$ to \$2\pi+a\$ is the same as over the interval \$0\$ to \$a\$.
$$v_\text{rms}=\sqrt{\frac1{2\pi}\int_{\pi}^{2\pi+a} 15^2\sin^2t\,\mathrm dt}\,,$$
To solve such an integral you make use of the identity.
$$\sin^2x = \frac{1 - \cos(2x)}{2}$$
When you substitute that in, you should get something you can integrate fairly easily with well-known integration rules.
Here is how to do it digitally. I think it can be done analytically, also, if desired since it is just a sine wave. First, sample the waveform. Ideally, sample it for exactly one period. Then compute the discrete RMS value.
Let's call the series of samples Y(t). Sample at a reasonable rate. Like 100 samples over the full period. The sampling period is denoted with T. So Y(0) = the first sample, Y(T) is the second sample, Y(2T) is the third, etc.
First compute the series Y^2(t) by squaring each sample individually.
Next compute the mean of Y^(t). The mean is just the average of all the squared samples. Note that the mean is not a series. It is just a single number.
Take the square root of the mean. This is the RMS value of the waveform. RMS is taken to be always positive.