41results about How to "Accurate performance assessment" patented technology

The invention discloses a performance adjustment method of an AOI defect detection system, which includes the following steps: S1: making several simulated defect samples with different parameters according to actual defects, and the parameters include any one of size and contrast or two; the defect size or contrast of the simulated defect sample changes in a gradient and must cover the allowed minimum detection specification; S2: collect the image of the simulated defect sample and perform defect detection on it, and perform image processing algorithms during the detection process Adjust the detection limit of the AOI defect detection system to meet the allowable minimum detection specification; the present invention effectively avoids the time-consuming collection of actual defect samples and the difficulty of covering actual defects by making a large number of simulated defect samples, and reduces the time At the same time, it can quickly and accurately perform defect assessment, which improves the efficiency and accuracy of performance adjustment of the AOI defect detection system.

The invention discloses a method for a fatigue detection of a blade of a horizontal axis wind turbine. The method comprises the following steps of: processing a result obtained by conventional general single-shaft fatigue detection by adopting the linear damage accumulation theory to obtain fatigue performance of the blade under the interaction of loads in the swinging and shimmying directions; respectively calculating the fatigue lives of two single shafts by adopting a numerical simulation method, and performing damage accumulation on the two calculation results; performing calculation by adopting a numerical method to obtain fatigue performance under the condition that double shafts are simultaneously loaded; and analyzing and comparing fatigue parameters acquired by two fatigue damage calculations during single-shaft loading and double-shaft simultaneous loading, establishing a mathematic relation among single-shaft loading, damage accumulation calculation and double-shaft loading calculation results, introducing the mathematic relation into a single-shaft fatigue test of the blade, and correcting the test result to obtain a double-shaft fatigue performance. The purpose of obtaining more accurate fatigue performance of the blade is fulfilled by adopting low-cost single-shaft fatigue detection means through correction.

The invention discloses a method and system for evaluating the performance of foundation pit pile anchor support with extended service, which determines the rheological characteristics of the soil on the project site and the reinforced concrete strength of the support structure according to the triaxial test of the rock and soil mass and the construction project Reduction and loss of anchor cable prestress; according to the rheological characteristics of the engineering site soil, the strength reduction of reinforced concrete of the support structure and the loss of anchor cable prestress, determine the expression of earth pressure and anchor cable prestress over time Combined with the basic assumptions of the foundation pit pile-anchor support model, the deformation coordination relationship between the pile body and the anchor rod is determined; at the same time, the rheological characteristics of the soil and the prestress loss of the anchor cable are considered, and combined with the basic theory of elastic foundation beams, the deduced Evaluation value of anchor support performance of overdue foundation pit piles considering aging. The invention can comprehensively, objectively and accurately evaluate the performance of the temporary foundation pit support structure, and provide a basis for the safe construction of the temporary foundation pit project.

The invention discloses a civil aircraft APU performance evaluation and fault early warning method, and relates to the technical field of equipment state monitoring. On the basis of aircraft QAR data, the present invention uses machine learning technology to dig out the health state model of important parameters in the APU; then subtracts the predicted value of the health state model from the actual measured value of the APU state parameter to obtain the deviation value of the state parameter; then The deviation values ​​of several key parameters are fused into a health index using the regression model to characterize the severity of APU performance degradation, and a fault warning is issued in time according to the set warning value. The present invention is applied to civil aircraft APUs, especially for APUs that fail due to performance degradation. Events are planned to be issued; at the same time, the data for performance evaluation comes from the existing civil aircraft QAR data, which has strong practicability and operability.

The invention discloses an LTE (long term evolution) system performance determining method and an LTE system performance determining system. The LTE system performance determining method includes: determining configuration parameter combination corresponding to current ground feature types according to preset corresponding relation between the ground feature types and the configuration parameter combination, and initializing the determined configuration parameter combination; executing the following operations to each subframe of each radio frame in the LET system: updating positions of all users and corresponding timers in the LTE system according to the initialized configuration parameter combination; executing downlink evaluation procedures when the current subframe is a downlink subframe and a downlink is evaluate currently; and executing uplink evaluation procedures when the current subframe is an uplink subframe and an uplink is evaluated currently.