basically the signal(sequence) has some noise in particular duration of time,which is [login to view URL] learning i want to label this abnormality.-make this as a training model. now in future if similar noise comes from testing data it should ,match and classify it into a fault. Data consist of various wheel speed signals from various tires,different fault levels have different abnormalities.
The idea is to make an online process which acquires data from canoe into simulink,then apply machine learning based model to classify the fft signals into categories and display results.
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Dear Client, I hold master degree in electrical engineering. I read the explanation and wondering if you have any sample datasets/data to see? Here are some of my works: [login to view URL] Best
My preferred method of freelancing is an interactive approach to project solving. I have an MSEE specializing in Digital Signal/Image/RF Processing. I do my work in MATLAB (expert).
I will deploy Matlab NN for this project since it is basically a classification problem. Since the fault noise is unique from normal, NN can be trained to recognize it whenever such occurs.