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How to create a degradation feature profile from available sensor data?
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I have gathered sensor data. Now I want to derive degradation feature profile for my data to perform RUL estimation using exponential degradation model. The main reason behind using this model is that I have threshold values, but no run-to-failure data.
Answers (1)
Aman
on 21 Aug 2024
Hi Raghuveer,
As per my understanding, you want to create the feature vector/degradation feature profile using the sensor data that you have collected.
The sensor data that you have collected is a raw form of data that you need to process before giving to any model for RuL prediction. There are four major steps that you need to perform:
- Remove any null value that you have in the data.
- Resample the data to an appropriate sampling rate, which should be in sync with your controller.
- Identify and remove the outliers from the data.
- Select only appropriate sensor data, i.e., to perform feature selection, as every feature is not necessary for model creation.
Apart from these four steps, you can optionally transform your data before feeding it to the model for training.
Once you have performed all these steps, your feature vector will be ready to use for model training.
Hope it helps to proceed ahead with your workflow!
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