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AssigneeThe Boeing Company
InventorsKishora SHETTY, Pranav S. SHETTY, Pranjal PATHAK, Nayan MAITI
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The present disclosure provides techniques for improving aircraft machining process using machine learning-based predictive models and many-objective optimization algorithms. Data from a machining process is collected, where the data comprises a plurality of machining parameters and at least two performance metrics. For each respective performance metric, a respective predictive model is trained using one or more machine learning (ML) techniques, where the plurality of machining parameters are used as inputs, the respective performance metric as target outputs, and the respective predictive model learns to correlate the inputs to the target output. For each respective performance metric, a respective objective function is generated for the respective predictive model. Many-objective optimization is performed on the respective objective functions, and a set of solutions are generated for the machining process based on the many-objective optimization.
A method, comprising:
A system comprising:
One or more non-transitory computer-readable media containing, in any combination, computer program code that, when executed by operation of a computer system, performs operations comprising:
Dependencies are inferred from the claim text.