Patent Application Number: 2006201792
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Jason Leong (over 2 years ago)
This application relates to monitoring and updating predictive models (a model used to make predictions) of an asset (for example, a boiler, turbine, or engine). Multiple models are used together with an optimisation algorithm in order to find the Pareto Frontier (simply described, the optimal results of conflicting objectives. For example, in Fig. 2, the Pareto Frontier is the points on the graph that make up the optimal results of the Heat Rate vs. NOx). The user or the system can then select a point on the Frontier, and the appropriate inputs and outputs used to predict that point are transmitted to the operator of the asset (presumably so that the operator can manipulate the asset in order to reach the optimal result selected).
The application provides specific details on the method and system involved in order to create the predictive models from historical operational data (Fig. 3), use multiple models to find the Pareto Frontier and the optimised results (Fig. 8), and update the models using new data (Fig. 9).
Claims 1-5 describe the entire method. Claims 6-10 describe a system that implements the method described in claims 1-5.PEER TO PATENT ACTIVITY
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United States