Machine Learning for Predictive Maintenance

The courses is for professionals and part of the programme MAISTR (hh.se/maistr) where participants can study the entire programme or individual courses. The course is part of the course track machine learning and is held online in English. <br> The course covers the following topics: - Definition and terminology of relevant concepts in PdM - PdM task formulation, i.e. determine approaches and learning settings for given problems - Data engineering for time series data, including transformation, anomalous value detection, missing value imputation, outlier removal, etc. - PdM evaluation metric, given concrete applications and its formulation - Benchmarking the performance with traditional approaches - Transfer learning for fault detection and remaining useful life prediction - Survival analysis for PdM focusing on the evaluation metric and specialized cost function learning - Interpretability of the PdM machine learning models, and hybrid approaches