Patent Document ID: 8874409
Application ID: 12966465
Patent Flag: 1

Claim One:
1. A method for improving a manufacturing or production environment, the method comprising: receiving two or more time series data having values that represent current conditions of the manufacturing or production environment as inputs; determining one or more different regimes in the received two or more time series data, the determining including: comparing values of the received two or more time series data; and identifying at least one relationship between the received two or more time series data, each identified different relationship representing a different regime; computing a different linear regressor for representing the each identified different relationship; calculating an error upon fitting each different linear regressor to the each identified different regime; summing up the calculated error; and predicting, based on summed error, future or unmeasured values of the received two or more time series data in the each identified different regimes, the future or unmeasured values representing future conditions of the manufacturing or production environment, the predicting including: determining datasets among the received two or more time series data according to the summed error; and running a supervised learning algorithm on the determined datasets corresponding to the each identified different regime, wherein a processor connected to a memory device is configured to perform: the receiving, the determining the regimes, the comparing, the identifying, the computing, the calculating, the summing, the predicting, the determining the datasets and the running.