I am working on a machine learning problem, where i have to predict if a device connected with solar panel at a specific block has been damaged. I have many factors to consider, out of which
wind speed and a
humidity are to be considered. These 3 factors are being recorded from 3 separate devices. This device helps pack cells ini case of severe windspeed or other environmental factors. What if this device is also damaged. Its to model this.
What sort of signal processing can be done on this data? Do i need to use fourier transformation, wavelet, noise removal or filtering? I am at beginner level in signal processing. I tried doing some research, however i feel that i do need some help in this matter.
Edit: Its not exactly for panel glass if you thinking about the actual panel, but a device that connects between panel and transmission. This device makes decision if panel should be folded when windspeed is high for damage prevention. What if that device has been damaged.