METHOD AND SYSTEM FOR PERFORMING MODEL-BASED MULTI-OBJECTIVE ASSET OPTIMIZATION AND DECISION-MAKING
Patent №
US 7,536,364
Granted
2009-05-19
Filed 2005
Owner
GENERAL ELECTRIC COMPANY
Lab
—
AI components
5
ml · kr · planning · evo · hardware
Assignment
Recorded
Dataset
AIPD
2023_r1 edition
Application
11116920
A method and system for performing model-based multi-objective asset optimization and decision-making is provided. The method includes building at least two predictive models for an asset. The building includes categorizing operational historical data via at least one of: controllable variables, uncontrollable variables, output objectives, and constraints. The building also includes selecting at least two output objectives or constraints, and identifying at least one controllable or uncontrollable variable suitable for achieving the at least two output objectives or constraints. The method also includes validating each predictive model and performing multi-objective optimization using the predictive models. The multi-objective optimization includes specifying search constraints and applying a multi-objective optimization algorithm. The method further includes generating a Pareto Frontier, and selecting a Pareto optimal input-output vector.
AI classification
Ownership
GENERAL ELECTRIC COMPANY
assignment · 165180113
Assignors
SUBBU, RAJESH V., BONISSONE, PIERO, EKLUND, NEIL H., IYER, NARESH S., SHAH, RASIKLAL P., YAN, WEIZHONG, KNODLE, CHAD E., SCHMID, JAMES J.
On an employer assignment, the assignors are typically the inventors.