Predicting failure of rubber seal production machine using machine learning methods

Aljaž Markežič (2018) Predicting failure of rubber seal production machine using machine learning methods. EngD thesis.

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Abstract

The goal of the thesis is implementation of a predictive system for detecting failures in industrial machines. We tackle the problem by using different machine learning approaches and methods. Initially, we transformed the received data into a representation for supervised learning. In the next step we trained the classifiers and evaluated their performance. We applied three different approaches, as follows. In the first approach we trained memoryless models without using historical data; in the second approach we extended the data with additional historical attributes; in the third approach we trained memory-retaining models (LSTM and GRU) with a non-historic dataset. On the basis of our experimental results we discovered that the third approach gives as the best results.

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