I have 2 datasets – one is raw sensor data from hydraulic pump and other data is the leakage data extracted from a simulation tool called AMESim. The time stamp of the raw data is fixed and is recorded at 30s interval but the simulated leakage data is extracted as 0 to 30, 30 to 60s … So there are values between these intervals. I’m really confused how to combine these two dataset and use it for deep learning model training ?
I don’t want to aggregate the leakage data because for times series modeling I need all the info from the dataset.