Industrial Time Series Analysis
Most modern enterprise-scale manufacturing processes include the capture of multi-modal sensor data. There is often business value in this data, such as improving yield, optimizing the timing of cleaning cycles, or maximizing throughput.
Industries from every sector have harnessed the power of RapidMiner to perform predictive or prescriptive analytics on time series sensor data and hence gain an advantage in competitive markets.
In Part 1 of this Lightning Demo Dr. Martin Schmitz, Data Scientist at RapidMiner, will begin with a raw industrial time series data set and show how to use RapidMiner to prep the data for modeling.
Part 1: Data Prep, Batching & Feature Engineering
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In this session, you will learn to use RapidMiner for data prep including:
- Equalizing time stamps
- Windowing & batching
- Extracting relevant features such as slopes, peaks & FFT transformations for modeling