5 results about "Parameter error" patented technology

The application discloses a kind of T type three-level converter open-circuit fault diagnosis method with strong robustness, belong to the field of power electronic equipment fault diagnosis, to distinguish different switch similar open-circuit fault characteristics and accurately locate open-circuit fault tube.Considering different modulation strategies and modulation modes, the phase voltage residual is generated through the phase voltage model, so as to extract the fault characteristics of the converter under various open-circuit faults.Analyze the influence of factors such as parameter error, dead time and delay time of the system on the phase voltage vector residual, and the adaptive residual vector amplitude threshold based on uncertainty propagation theory.A hierarchical fault diagnosis scheme is proposed, which can locate the group-level open-circuit fault according to the voltage residual vector amplitude and angle, switch the three-level modulation mode of all phases of the converter to two-level mode, to further identify the specific fault switch from the fault group.A reasonable balance between robustness and speed can be achieved, and the complexity and adaptability of the diagnosis algorithm are fully considered.

Embodiments of the present disclosure provide a core particle verification method, device, medium, core particle and computing system, relating to the technical field of chips. The core particle verification method can be applied to a verification module, which includes a pre-set verification model and a data acquisition interface connected with a measured module in the core particle. The core particle verification method includes: obtaining a target message communicated by the core particle through the measured module and other core particles, the target message being a message conforming to a general core particle interconnection standard; in a case where the target message meets a pre-set condition, collecting, through the data acquisition interface, algorithm data of a target calibration algorithm executed by the measured module in a link training process; and verifying the target calibration algorithm according to the verification model and the algorithm data, to obtain a verification result of the target calibration algorithm. In this way, the calibration algorithm can be verified, and algorithm logic or parameter errors can be found in time, thereby improving the reliability of core particle verification.

The present application relates to the technical field of fringe reflection detection and deep learning cross, and specifically provides an error decoupling method suitable for a fringe reflection detection system, two kinds of light spot distribution data containing different errors are generated through a light ray tracing method, and the light spot distribution data is subtracted from ideal light spot distribution data of a mirror to be measured to obtain light spot distribution offset samples, training data set A and training data set B are constructed; a deep learning network with double output branches is constructed, two-stage training is adopted, the first branch is trained by using the training data set A in the first stage, and a predicted structure parameter error is output; the first branch and the second branch are jointly trained by using the training data set B in the second stage, a predicted structure parameter error is output through the first branch, and a predicted surface shape error is output through the second branch; the light spot distribution offset data is input into the trained deep learning network, and the predicted structure parameter error and the predicted surface shape error can be obtained.

An antenna calibration method, system, and apparatus are disclosed. In the method, at least one first metasurface element is located along the path of a signal transmitted by the first antenna element. A control module acquires first error information indicating parameter errors in the signal transmitted by the first antenna element. Based on the first error information, the electromagnetic response of at least one first metasurface element is adjusted to calibrate the parameters of the signal transmitted by the first antenna element. Thus, a mechanism for calibrating the parameters of the signal transmitted by the first antenna element is provided, which can improve antenna calibration performance.