1. A method of monitoring equipment performance and predicting failures, the method comprising: receiving historical data for a piece of equipment; designating the historical data with at least two input tags; selecting a first time span for the at least two input tags from the historical data; generating a regression model including an expected output tag for the first time span of the at least two input tags; gathering new data from the piece of equipment corresponding to the at least two input tags; selecting a second time span for the at least two input tags from the new data; and comparing the second time span from the new data to the expected output tag to determine whether the new data is within a normal operating range.