3 results about "Parameter distribution" patented technology

This invention discloses a method and system for constructing the probabilistic stability domain and inverting parameter uncertainties in milling chatter, belonging to the field of CNC machining and cutting dynamics prediction technology. The method first solves for a given dynamic parameter vector using a fully discrete method. i Stability boundary of the spindle speed-axial depth of cut plane; then use multiple sets i Boundary training agent model to quickly predict arbitrary i The boundary. Given i When distributing parameters, a proxy model is invoked via Monte Carlo sampling to generate a flutter probability distribution map and a preset probability. p The stability boundary is determined. For a limited amount of experimental data, a hierarchical Bayesian model is constructed, with and as hyperparameters as priors. A likelihood function is built using experimental stability / instability labels. The posterior distribution is obtained through Markov chain Monte Carlo sampling, and the probabilistic stability region is updated. Variance is estimated by reducing the likelihood using common random numbers. This invention significantly reduces computational overhead, enabling rapid construction of the probabilistic stability region and parameter distribution inversion, thus aiding in the selection of processing parameters and risk control.

This invention discloses a bridge construction deflection sensitivity analysis method, comprising the following steps: Step S1, establishing a historical database; Step S2, standardizing each parameter in the historical database; Step S3, based on the standardized parameter data, taking the average of all data for that parameter, and generating random numbers with a sample size of N from the parameter distribution; Step S4, integrating a hybrid learner; Step S5, establishing a three-dimensional deflection model of the main beam using the hybrid learner; Step S6, obtaining multiple deflection values ​​as sample output values ​​using the arithmetic mean median method; Step S7, calculating the conditional expectation of each parameter with respect to the sample output values; Step S8, calculating the magnitude of the influence of the parameters on the main beam deflection using the Sobol sensitivity analysis system. This invention, by analyzing the influence of each parameter on the main beam deflection, guides the strict observation and control of parameters with a significant impact during construction, thereby avoiding resource waste and reduced construction efficiency.

The invention relates to a method (100) for identifying a parameter distribution for modeling a technical system (50), comprising the following steps: - determining (101) a nominal parameter estimate on the basis of provided measurement data and at least one pre-given system dynamics model of the technical system (50); - determining (102) a distribution of parameter variations on the basis of a quantification of the uncertainty due to parameters of the nominal parameter estimate; - providing (103) the nominal parameter estimate and the distribution of parameter variations as a basis for modeling the technical system (50) taking into account the uncertainty due to parameters.