1. A method for identifying a potential fault in a system, comprising: obtaining a set of training data; selecting a first kernel from a library of two or more kernels and adding the first kernel to a regression network; selecting a next kernel from the library of two or more kernels and adding the next kernel to the regression network; refining the regression network; and identifying a potential fault in the system using the refined regression network.