5 results about "Phase space" patented technology

This invention relates to the field of flow measurement and industrial process control technology, specifically to a gas ultrasonic flow meter and its measurement method; it includes a measurement pipe section, signal acquisition, phase space reconstruction, symplectic geometric analysis, and adaptive solution modules; the system acquires the original acoustic time-series signal and maps it into a high-dimensional state trajectory matrix; its core is to use symplectic geometric transformation to extract dynamic invariants such as the maximum Lyapunov exponent, determine the flow field distribution correction coefficient, and compensate the basic flow velocity to generate a standard flow rate; this invention transforms a complex inverse fluid mechanics problem into a geometric topology feature extraction problem, eliminating the need for massive model training, significantly reducing computational power consumption, and solving the computational deadlock problem.

The application proposes a hybrid time-scale based weakly nonlinear dynamic system equation discovery method. The method first constructs the dynamic system state variables and phase space trajectory according to the bridge wind-induced vibration response, and organizes the training data based on the phase space structure; then a dynamic symbolic network is established to learn the local dynamic law and overall evolution law of the system in the time recursion process; finally, combined with sparse constraints and parameter screening, the explicit control equation of the target dynamic system is obtained. The method can effectively combine the phase space structure information, multi-time scale characteristics and the explainable expression ability of the symbolic network, and improve the stability and explainability of the bridge wind-induced vibration dynamic equation identification.

This invention belongs to the field of intelligent status assessment technology for generator sets, and discloses a method and system for intelligent status assessment of natural gas generator sets. The method includes: acquiring multi-physics field operation data; reconstructing the phase space of the multi-physics field operation data based on different time scales to obtain a set of physically perceived state point clouds; performing complex filtering on the point clouds at each time scale, and conducting multi-scale topological evolution analysis of the filtered complex sequences; inputting the topological feature vectors into a topological random forest model for training, and performing joint inference to output the posterior distribution of fault modes; calculating a generator set health index, and combining the generator set health index with a dynamic early warning threshold to achieve the assessment of the operating status of the natural gas generator set. This invention can deeply explore the dynamic evolution laws of different physical processes such as combustion, mechanical, thermal, and degradation, and effectively capture early weak faults and multi-field coupling anomalies that are difficult to identify using traditional methods.

The present application relates to the technical field of industrial information processing, and discloses an industrial historical data inversion method and device based on phase space reconstruction and a medium. The present application constructs an auxiliary variable full-time shadow manifold, locates a state point at a target variable missing time in the manifold, and determines the missing value based on the target variable values corresponding to a plurality of state points similar to the state point in the training window, which helps to reduce the smoothing distortion problem of the traditional interpolation method in the nonlinear fluctuation scene, and realizes the inversion of long-period historical data under the condition of a small amount of coexisting data. At the same time, the present application takes the dynamic coupling relationship as a prerequisite, and improves the interpretability and reliability of the reconstruction result.

The present application relates to the technical field of fault diagnosis, in particular to a relay operation state fault risk prediction method and system. In view of the problem that transient micro degradation characteristics are easily covered by systematic baseline distortion of sensing circuit, the present application extracts the original pulse width modulation parasitic harmonic as a probe, calculates the equivalent reactance evolution characteristics of the relay, maps the temperature drift baseline and mechanical vibration vector to the Poincare phase space, extracts the nonlinear topological distortion manifold by calculating the maximum Lyapunov index jump, constructs a structural causal model containing thermal inertia delay hidden nodes and performs counterfactual intervention, cuts off the error transmission path of temperature drift on topological characteristics, and reconstructs the absolute physical degradation index stripped of measurement interference. The present application realizes the absolute decoupling of signal false distortion and real physical ablation, and ensures the accuracy of fault warning under complex extreme conditions.