To create a window in Simulink that holds 200 samples of your six-channel signal (3-phase voltage and 3-phase current) and feeds it to your LSTM, use a buffering mechanism that accumulates incoming data into overlapping or non-overlapping windows of the required size. Since the LSTM network expects an input of size "200×6", you must buffer the real-time sensor data into chunks of 200 samples for each channel before passing it to the "LSTM block".
In Simulink, this is accomplished using the "Buffer block". The "Buffer block" allows you to specify the window length (200 samples) and the frame-based processing, so it collects 200 consecutive samples before outputting them as a single matrix. Since the simulation has a solver step of 1e-6 seconds, but the sampling time for each measurement is 5e-5 seconds, you need to ensure that the data is sampled and buffered at the correct intervals.
Use a "Rate Transition block" or set the sample time of the "Buffer block" to match the data acquisition rate (5e-5 seconds).
Once the "Buffer block" collects 200 samples, it outputs a 200x6 matrix at each step, which matches the input format your LSTM network was trained on. This matrix can then be fed directly into the LSTM block for classification or fault detection.
Refer to the snapshot of the sample model below:
Refer to the following MathWorks documentations for more information:
- Buffer block: https://www.mathworks.com/help/dsp/ref/buffer.html
- Rate Transition block: https://www.mathworks.com/help/simulink/slref/ratetransition.html
