6 results about "Optimal tuning" patented technology

The invention provides a self-adaptive tuning matching and control system of a magnetic resonance radio frequency transmitting coil, and belongs to the technical field of magnetic resonance imaging. The system is composed of a radio frequency transmitting coil, a tuning matching circuit of the radio frequency transmitting coil, an automatic adjusting device, a scattering parameter measuring device, an upper computer interaction module, a PC and a computer processing program. During working, the system only needs to pre-store a group of optimal tuning and matching scattering parameters, after different parts of different human bodies enter the center of the body coil, tuning and matching circuits can be continuously adjusted, changes of the scattering parameters in the adjusting process are collected in real time, and the rotating direction of a tuning strip matching motor can be automatically judged; and the accurate tuning frequency and the optimal matching state are quickly obtained, so that the optimal transmitting efficiency is achieved.

The invention relates to a system configuration for regulating the minimum pressure of an ORC system. By regulating the minimum pressure, the efficiency can be optimally adapted to the ambient conditions.

We provide the system. [Solution] A means of receiving database queries entered from the user terminal, A means for analyzing the aforementioned database query and identifying the database tables and columns to be used, A means for generating multiple tuning candidates based on the analysis results, A means for evaluating the aforementioned tuning candidates using a generative model and selecting the optimal tuning plan, A means of returning the aforementioned optimal tuning proposal to the user, A system that includes this.

A test and measurement system includes a test and measurement instrument configured to receive waveform data from a device under test (DUT) on a manufacturing line, a machine learning system connected to the test and measurement instrument, and one or more processors configured to execute code that causes the one or more processors to: collect optimal tuning parameter data sets from the DUT after the DUT is tuned on the manufacturing line, determine one or more parameter data sets from the optimal tuning parameter data, load the one or more parameter data sets into the DUT, collect waveform data from the DUT for the one or more parameter data sets as training data sets, train the machine learning system using the training data sets, and use the machine learning system after training to produce an output related to the DUT.

To provide a design method of a rocking vibration control device having high absorption capacity of vibration energy by introducing a synchronization effect and allowing rational design, and a structure having the rocking vibration control device.SOLUTION: The oscillation damping device 18 is attached to a first member 10 and a second member 11 disposed in parallel with each other on the 1a of the structure body. The oscillation damping member 18 includes a seesaw member 21 attached to the first member 10, a first long material 23 and a second long material 24 arranged so as to cross each other and connecting the seesaw member 21 and the second member, and an inertial mass damper 25 attached between the seesaw member 21 and the first member 10. A mathematical model of the structure 1 in which the first long material 23 and the second long material 24 are expressed as one spring arranged in series with the inertial mass damper 25 is applied to the optimum tuning conditional expression of the equivalent contraction model to design the rocking vibration damping device satisfying the tuning condition.SELECTED DRAWING: Figure 3

The invention relates to the technical field of machine learning, in particular to an intelligent tuning method and system for a surface acoustic wave filter, and the method comprises the following steps: obtaining the parameter data of the filter, generating a hidden space vector and a basic parameter manifold, monitoring the temperature and excitation duration, generating a state vector, and calculating a reconstruction tensor; and adding and updating weight parameters to form a temporary weight, mapping a target index, calculating a geodesic distance, screening an optimal point, and decoding to obtain an optimal tuning parameter combination. According to the method, the characteristic data of the surface acoustic wave filter is mapped into the potential parameter space, the weight is dynamically updated, adaptive tuning of performance offset in operation is achieved, monitoring and normalization processing are conducted in combination with the temperature, the power excitation duration and other states, the tuning parameter offset trend is corrected in time, and the tuning precision is improved. Depending on external element compensation or frequency loop adjustment is avoided, parameter selection accuracy is improved through geodesic distance calculation in performance index mapping and optimal point screening, and it is guaranteed that the filter keeps stable frequency characteristics under complex conditions.