I am writing my master thesis and my tasks are:
- To locate faulty stations/features which lead to product failure at test time.
- Forecast failure to prevent it sometime before it occurs.
- recommend the fixes to the maintenance crew.
my dataset has a set of features and an error code coloum, error codes are (0,10,11,12,30,40,90)
where 0 is no error and others are errors.
what I am looking for an end to end project which is similar to my problem from model creation to its deployment. it's more than a month and I am not able to get a base to start it.
If it helps, we recently surveyed Industrial AI applications deployed in real environments. You can check the ones we found at higher technology readiness levels, as these are generally end-to-end, fully fledged examples of solutions for either quality control, predictive maintenance or energy optimization.
https://www.researchgate.net/publication/346915033_Industrial_Artificial_Intelligence_in_Industry_40_-_Systematic_Review_Challenges_and_Outlook
Do beware of the scope for your MSc thesis, as end-to-end ML projects generally entail several technologies and elements, from the integration with legacy systems and ETL pipelines, to model training, selection, deployment/serving and continuous integration / post-deployment maintenance.
I did this on the example of intellectual analysis of the features of configuring security systems of different versions of MS Windows
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