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RISExpensive Black-Box Model Optimization Via a Gold Rush Policy
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: The optimization of black-box models is a challenging task owing to the lack of analytic gradient information and structural information about the underlying function, and also due often to significant run times. A common ...
A Machine Learning Approach to Aircraft Sensor Error Detection and Correction
Publisher: American Society of Mechanical Engineers (ASME)
Abstract: Sensors are crucial to modern mechanical systems. The location of these sensors can often make them vulnerable to outside interferences and failures, and the use of sensors over a lifetime can cause degradation and lead ...
Nonlinear Kalman Filtering With Expensive Forward Models Via Measure Change
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Filtering is a subset of a more general probabilistic estimation scheme for estimating the unobserved parameters from the observed measurements. For nonlinear, high speed applications, the extended Kalman filter (EKF) and ...
Reducing the Search Space for Global Minimum: A Focused Regions Identification Method for Least Squares Parameter Estimation in Nonlinear Models
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Important for many science and engineering fields, meaningful nonlinear models result from fitting such models to data by estimating the value of each parameter in the model. Since parameters in nonlinear models often ...
Asynchronous Multi-Information Source Bayesian Optimization
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Resource management in engineering design seeks to optimally allocate while maximizing the performance metrics of the final design. Bayesian optimization (BO) is an efficient design framework that judiciously allocates ...
Variance-Based Sensitivity Analysis to Support Simulation-Based Design Under Uncertainty
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Sensitivity analysis plays a critical role in quantifying uncertainty in the design of engineering systems. A variance-based global sensitivity analysis is often used to rank the importance of input factors, based on their ...
Generating Technology Evolution Prediction Intervals Using a Bootstrap Method
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Technology evolution prediction is critical for designers, business managers, and entrepreneurs to make important decisions during product development planning such as R&D investment and outsourcing. In practice, ...
Taking the Guess Work Out of the Initial Guess: A Solution Interval Method for Least-Squares Parameter Estimation in Nonlinear Models
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Fitting a specified model to data is critical in many science and engineering fields. A major task in fitting a specified model to data is to estimate the value of each parameter in the model. Iterative local methods, such ...
Adaptive Dimensionality Reduction for Fast Sequential Optimization With Gaussian Processes
Publisher: American Society of Mechanical Engineers (ASME)
Abstract: Available computational models for many engineering design applications are both expensive and and of a black-box nature. This renders traditional optimization techniques difficult to apply, including gradient-based ...
Multi-Information Source Fusion and Optimization to Realize ICME: Application to Dual-Phase Materials
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Integrated Computational Materials Engineering (ICME) calls for the integration of computational tools into the materials and parts development cycle, while the Materials Genome Initiative (MGI) calls for the acceleration ...