TIA ASP is an Apache StreamPipes based tool, it enables none technical users to select and execute machine learning algorithms for predictive maintenance purposes. The performances and the results obtained by the executed Machine Learning algorithms are presented in forms of graphs.
The tool has an easy-to-use, drag and drop user interface. Different data sources can be used as inputs to the ML algorithms of TIA ASP, including data from Kafka, and .csv files. The ML algorithms are MLP, GBT, LSTM, RF, SVM, and KNN.
Figure- A Sample Data Processor: TIA ASP using Kafka Data Source
Data coming from Kafka or .csv files can be used by the user selected machine learning algorithms, and the results of the predictive maintenance applied by the selected algorithms are displayed on the presented GUI above.
Figure- A Sample Data Processor: TIA ASP using .csv Data Source