3 results about "Threshold point" patented technology

The invention provides a load spectrum time domain load extrapolation method and device, a medium, a program product and a terminal, and the method comprises the steps: obtaining an original random load spectrum, and generating a plurality of alternative threshold points; performing GPD fitting on each alternative threshold point to form a fitting result library; and the fitting result is checked, the fitting quality index of each threshold point is calculated, and the optimal threshold is automatically selected based on a multi-criterion decision-making method. A GPD fitting result corresponding to the optimal threshold value is utilized to randomly generate a plurality of extreme loads, and an extreme load simulation database is constructed; and then performing multiple rounds of random replacement on the load in the simulation database to obtain a plurality of load time domain extrapolation results, and determining a final time domain extrapolation result through extrapolation error evaluation. According to the method, threshold optimization is realized through multi-criterion decision, and the stability of GPD fitting and the precision of load time domain extrapolation are effectively improved by combining multiple rounds of random replacement and error evaluation. And the accuracy and the reliability of extreme load time domain extrapolation are obviously enhanced.

The invention discloses a retry threshold table generation method and device and a storage medium, and relates to the technical field of memorizers, and the method comprises the steps: obtaining a target threshold voltage range, and generating a plurality of threshold points on a preset coordinate system according to the target threshold voltage range; determining a threshold point corresponding to the target average threshold under the data retention time as a first threshold point, and determining at least one second threshold point in the plurality of threshold points, the second threshold point being a threshold point which is not determined as the first threshold point; obtaining the distance from each threshold point to the origin of the coordinates, and according to the sequence of the distances from large to small, sorting the first threshold points, and then sorting the second threshold points; and generating a retry threshold table according to a sorting result. According to the method and the device, the retry threshold table which meets the requirement of a read retry mechanism and has fewer retry times can be generated.

The application provides an AI-based highway bridge and tunnel structure health state evaluation method and system, which comprises the following steps: according to a continuous damage point position sequence, a clustering algorithm is used to identify a turning point and divide a life cycle section, and the boundaries of a stable section, a degradation section and an acceleration section are determined; the extension rate data in each life cycle section is obtained, the data between sections is connected through a linear interpolation method for the curve jump position, and a smooth evolution curve is obtained; if there is a symmetric filling residual error in the evolution curve, the error source is judged by comparing the difference of the extension rate of adjacent sections, and the corrected curve parameters are obtained; crack extension characteristics are extracted from the corrected curve parameters, a time series analysis model is used to predict the evolution trend, and the whole process mapping of the crack from initiation to extension is determined; according to the whole process mapping of the crack, it is judged whether the extension rate is close to a preset critical threshold, and a threshold point of the remaining life of the structure is obtained.