DEVICE BEHAVIOR MODELING BASED ON EMPIRICAL DATA

摘要

State and transition behavior data is collected from a machines and a clusterer is automatically selected to statistically group machines and machine elements. Finite states are generated from the state and transition data and used to create a machine emulator to model machine behavior. The machine emulator is then operated to predict and troubleshoot other possible states.