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Author(s): Arkan, M. | Babu, V.S. | Bezdicek, J. | Chung, D. | Discenzo, F.M. | Flek, O. | Loparo, K.A. | Perovic, D.K. | Perovic, S. | Ryba, J. | Sladek, B. | Tusla, P. | Unsworth, P.J. | Zevchek, J.K. |
Year: 2007
Citation: Patent number: 7308322 Issue date: February 19, 2008
Abstract: Systems and methods are disclosed for controlling, diagnosing and prognosing the health of a motorized system. The systems may comprise a diagnostics system, a prognostic system and a controller, wherein the diagnostics system and/or prognostic system employs a neural network, an expert system, and/or a data fusion component in order to assess and/or prognose the health of the motorized system according to one or more attributes associated therewith. The controller may operate the motorized system in accordance with a setpoint and/or a diagnostics signal from the diagnostics system and/or prognostic information. Also disclosed are methodologies for controlling, diagnosing and prognosing the health of a motorized system, comprising operating a motor in the motorized system in a controlled fashion, diagnosing and/or prognosing the health of the motorized system according to a measured attribute associated with the motorized system, wherein the motor may be operated according to a setpoint and/or the diagnostics signal and/or prognosis.
Topics:
Machine Learning,
Applications:
Industrial Control,
