Would like to do prediction for data of an engine wear and tear of bearing and other sensor reading help me out which machine learning learners and predictor are suitable
Concerning the handling of machine data you might want to take a look at the KNIME White Papers (especially the one about IoT cases):
Other than that you might want to tell us some more details about your task. Namely if you have a target that would constitute a failure (target) or if you are looking for anomalies in general.
When checking for prediction models don’t forget to have a look on the sampling rate of the sensor data.
Depending on the status you would like to track it may be required to have high frequency sensor data.
Vibration analysis of bearings of (fast) rotating equipment would be such a case.
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