4 results about "Drift coefficient" patented technology

The invention provides a reliability evaluation system and method for a two-degree-of-freedom rotational vibration energy collector, and belongs to the field of nonlinear rotational vibration energy collection, and the method comprises the steps: S1, constructing a kinetic model, and converting the kinetic model into a Hamiltonian form; s2, reducing dimensions by adopting a random average method; s3, calculating a drift coefficient and a diffusion coefficient; s4, constructing and solving a boundary value problem to verify the calculation precision; and S5, parameter sensitivity analysis and design optimization. According to the reliability evaluation system and method for the two-degree-of-freedom rotary vibration energy collector, the problems that in reliability analysis of an existing two-degree-of-freedom rotary vibration energy collector, high-dimensional coupling characteristics are difficult to capture, an analysis frame is incomplete, calculation efficiency is low, and parameter optimization lacks theoretical guidance are solved.

This application discloses an arc crosstalk identification method, apparatus, computer-readable storage medium, and system. The method includes acquiring current sampling data of the target observation period of the circuit under test, and extracting features from the current sampling data to obtain a feature data set; constructing a stochastic process model from the current sampling data, fitting the current sampling data based on the Fokker-Planck equation to obtain the correlation characterization parameters of the drift coefficient and the diffusion coefficient; and determining whether the target observation period of the circuit under test is affected by crosstalk signals based on the feature data set and the correlation characterization parameters, using a preset discrimination strategy. By fusing multi-dimensional signal features with relevant parameters of the Fokker-Planck equation, rapid and accurate mechanistic identification of arc crosstalk signals is achieved, fundamentally improving the anti-interference capability and operational reliability of fault arc detection in complex electromagnetic environments.

The invention discloses a two-dimensional uncertainty modeling method and system based on a random process and deep learning. The method comprises the following steps: completing data acquisition; parameter determination is completed, and meanwhile, output probability distribution dynamic evolution is completed through multi-period sliding window calibration initial values, space-time weighted fitting of time-varying drift coefficients and GARCH model depiction of diffusion coefficients; then, on the basis of BiGRU, load-electricity price-response time sequence correlation features are extracted, dynamic weight distribution and fusion are carried out on multi-source input features, a predicted value and a confidence interval are output on the basis of two-parameter modeling, and specific description of load elasticity uncertainty is completed; and finally, combining wind and light output and load elastic response probability distribution to obtain joint density, constructing an online optimization problem containing constraints, and further forming a closed loop to realize'source-load double-side 'uncertainty collaborative management. Cooperative management of wind, light and load uncertainty is realized.

The invention discloses an MEMS gyroscope reliability evaluation method based on rigidity and damping competitive degradation, which comprises the following steps: decomposing a failure mode into a rigidity degradation sub-process and a damping degradation sub-process according to an MEMS gyroscope kinetic equation; wiener degradation models are established for the two degradation sub-processes respectively, a generalized linear predictor is introduced, and the coupling relation of the two degradation processes is quantified through a specific coefficient; joint estimation of a drift coefficient and a diffusion coefficient is realized by using a moment estimation method and a maximum likelihood estimation method, and a parameter estimation result is substituted into a competitive degradation reliability function, so that reliability evaluation of the high-performance MEMS gyroscope is realized.