14 results about "Parameter dependent" patented technology

Method for objectively assessing the performance of an ADAS / ADS system (210) of a vehicle (200) for a defined driving task in at least one selected scenario (SZ) i ), in particular for testing and training at least one driving function of the Advanced Driver Assistance System (ADAS) and / or the Automated Driving System (ADS), wherein a scenario (SZ i ) represents a traffic event in a temporal sequence and is defined by a selection of scenario parameters (P1, P2, ..., P n ) and associated scenario parameter values ​​(PV1, PV2, ..., PV n ) is defined as encompassing: - Identifying (S10) real-world scenarios (SZr) i ) from real-time sensor data (220) while driving the vehicle on a test track (200) and / or from stored data from a scenario identification module (300); - Generating (S20) simulated scenarios (SZs i) from a simulation module (400); - Transmitting (S30) the real scenarios (SZr i ) and the simulated scenarios (SZs i ) to an evaluation module (500); - Calculate (S40) an evaluation indicator (570) for at least one real scenario (SZr) i ) and an evaluation indicator (570) for at least one simulated scenario (SZs i ) from the evaluation module (500), wherein the evaluation indicator (570) represents the performance of the ADAS / ADS system (210) for the specified driving task, and wherein the evaluation indicators (570) are configured as key performance indicators (KPIs); generating (S50) evaluation results (750) from an evaluation module (700), wherein an evaluation result (750) for a real-world scenario (SZr) i ) and a simulated scenario (SZs i ) each an assignment between the respective determined assessment indicator (570) and the scenario parameter value (PVc) i) of a selected scenario parameter (Pc i ) of the respective real-world scenario (SZr i ) or of the respective simulated scenario (SZs i ) includes, wherein the evaluation results (750) are presented as KPI diagrams, in which the values ​​of a KPI are shown as a function of the parameter values ​​(PV) in a KPI diagram i ) of a scenario parameter (P1) for a specific real-world scenario (SZr) i ) or a simulated scenario (SZs i ) are represented, and the KPI diagrams are designed as histograms with segments for cluster analysis.

Some embodiments provide retail facility control systems, comprising: a customer database; an algorithm database; a cohort processing system comprising a cohort evaluation control circuit configured to: control a user computing system to render a cohort parameter user interface enabling the user to specify customer cohort type parameters, and receive based on user interaction a specification of at least a first customer cohort type of the plurality of cohort types; identify multiple different first level customizable parameters each corresponding to the first customer cohort type; cause the first user computing system to render a hierarchical parameter interface configured to enable the user to specify respective values for different levels of customizable parameters dependent on the first customer cohort type; apply one or more algorithm models to the customer information based on the customized parameter values and identify cohorts of customers.

A table workflow checking method, device, medium, equipment and program product, relating to the technical field of computer, can realize small range checking of the workflow in the database table, and improve the checking efficiency of the workflow. The table workflow checking method comprises: in response to a node configuration operation of the workflow, determining a configured first node, the workflow being an automated process created in the table, and the node of the workflow being used for processing data of the table; determining a second node having a dependency relationship with an output parameter of the first node according to node dependency information of the workflow, wherein the node dependency information represents the dependency relationship between the input parameters and the output parameters of different nodes in the workflow; and checking the second node according to the node dependency information to obtain a first checking result, wherein the first checking result represents whether the output parameter dependent on the input parameter of the second node is consistent with the node dependency information.

Some embodiments provide retail facility control systems, comprising: a customer database; an algorithm database; a cohort processing system comprising a cohort evaluation control circuit configured to: control a user computing system to render a cohort parameter user interface enabling the user to specify customer cohort type parameters, and receive based on user interaction a specification of at least a first customer cohort type of the plurality of cohort types; identify multiple different first level customizable parameters each corresponding to the first customer cohort type; cause the first user computing system to render a hierarchical parameter interface configured to enable the user to specify respective values for different levels of customizable parameters dependent on the first customer cohort type; apply one or more algorithm models to the customer information based on the customized parameter values and identify cohorts of customers.

A method of monitoring the torsion of a rotating shaft on an aircraft turbine engine, based on measurements from at least three sensors distributed along the rotating shaft, the at least three sensors dividing the shaft into at least two shaft sections, the method comprising: - for each sensor, a step of measuring a parameter dependent on the rotation of the shaft, - for each pair of achievable sensors, a step of calculating a parameter related to the torsion of the shaft, - a step of comparing the different calculated parameters related to the torsion of the shaft with a reference, - at the end of the comparison step, a step of detecting a damage on a shaft section, and - a step of indicating the positioning of the damage on the shaft from the shaft section for which a damage has been detected.

The invention discloses an efficient random low-rank approximation method and system for a parameter dependent matrix. The efficient random low-rank approximation method comprises a parameter dependent matrix low-rank approximation method based on random SVD and a parameter dependent matrix random low-rank approximation method based on generalized Nystrm. The method comprises the following steps: acquiring a parameter dependence matrix and a simulated linear decomposition structure thereof; generating a fixed random dimension reduction matrix and carrying out offline preprocessing; a matrix sketch is calculated through row partitioning and House holder QR decomposition; pre-calculating an intermediate variable by adopting an index optimization technology; in the online stage, a low-rank approximation factor is rapidly calculated through parameter correlation linear combination; and error analysis and failure probability control based on the Frobenius norm are provided. According to the method, the parameter dependency matrix low-rank approximation problem in time sequence analysis, dynamic system simulation and Gaussian process regression can be solved, and the method has the advantages of being high in calculation efficiency, small in storage overhead, good in numerical stability and controllable in error.

The invention relates to a method for operating a vehicle system (2), which provides an autonomous driving function for fully automatically guiding a motor vehicle (1), which autonomous driving function can be used within a system boundary described by at least one system boundary parameter to be obeyed for an environmental parameter describing an environmental condition, in order to determine and execute an autonomous vehicle guidance measure, in particular a driving maneuver, of an autonomous driving function within a base guidance range described by at least one base guidance boundary parameter, in the event that at least one relevant current environmental parameter violates at least one system boundary parameter, the autonomous vehicle guidance measure is determined and executed. At least one adjustment condition that evaluates the current environmental parameter is checked, and if the adjustment condition is satisfied, the autonomous vehicle guidance function is provided with a reduced guidance range described by a guidance boundary parameter that depends on the satisfied adjustment condition and / or the current environmental parameter.

This invention relates to the field of product reliability analysis technology, specifically to a reliability assessment method for a non-fixed shape parameter dependent competing failure model. The method includes the following steps: constructing a dependent competing failure model, designing an adaptive stepwise type II hybrid truncated constant-load life test, estimating parameter points based on test data, establishing an acceleration equation, calculating product reliability under normal stress, and performing interval estimation. This invention constructs a MOBG distribution description that assumes fixed shape parameters and does not consider the dependencies between unknown failure mechanisms and causes. It designs an adaptive stepwise type II hybrid truncated constant-load life test to obtain data, solves for parameters based on maximum likelihood estimation and Bayesian estimation, and combines the acceleration equation to obtain parameter estimates under normal stress. This leads to the calculation of product reliability and interval estimation, improving the accuracy and applicability of reliability assessment. It is suitable for reliability analysis of various products with multiple failure mechanisms and potentially unknown causes.

The application discloses a reliability evaluation method for a nonlinear random effect parameter related degradation process, obtains sample data; according to the sample data, calculates parameter estimation values of sample distribution; establishes distribution models of various parameters; utilizes the parameter estimation values of the sample distribution and maximum likelihood estimation to calculate various parameters in the distribution models; utilizes a total probability formula to calculate a degradation amount distribution density; after linear change of the degradation amount, T distribution is obtained. According to the T distribution, a confidence interval of the degradation amount is calculated; a failure threshold of degradation is set, and reliability of a product is calculated. The application considers the correlation between parameters in distribution, obtains simple form degradation amount distribution, and reduces reliability evaluation calculation difficulty.

The invention belongs to the technical field of aviation, and particularly relates to a supersonic civil aircraft total weight parameter and fuel economy parameter sensitivity solving method, which comprises the following steps: establishing a weight model containing total weight parameters; aircraft design parameters are substituted into the weight model for solving, and all total weight parameter values are obtained; the multiple sensitivity parameters are substituted into the weight model, multiple sensitivity expressions are obtained, and each sensitivity expression comprises a sensitivity parameter independent variable and a total weight parameter dependent variable; and substituting the total weight parameter value into the sensitivity expression, changing the sensitivity parameter independent variable to obtain a plurality of corresponding total weight parameter dependent variables, and obtaining the sensitivity relationship between all sensitivity parameters and all total weight parameters for weight parameter prediction and fuel economy prediction in the early design stage of the aircraft. And obtaining the sensitivity of the total weight parameter and the fuel economy relative to key design parameters such as the effective load, the voyage, the flight speed, the aerodynamic efficiency, the engine oil consumption rate and the like.

The invention relates to a method for calculating (10) an operating variable (B) of an electric machine (12), comprising at least the steps of providing (14) a data set (16) formed from a plurality of sample points (c), multidimensional and depicting operating parameters of the electric machine (12) and specifying parameter values (C) of a periodic parameter of the operating variable (B) of the electric machine (12) in one dimension, specifying a query point (q) deviating from the sample points (c) in the dimensions of the data set (16), identifying (20) sample points (c) of the data set (16) locally assigned to the query point (q) as reference sample points (c 11 , c 12 , c 21 , c 22 ), parameter correction (24) of the parameter value (C 12 ) at least one second reference sample point (C 12) by a periodic shift depending on a parameter relationship between the parameter value (C 12 ) of the second reference sample point (c 12 ) and the parameter value (C 11 ) of a first reference sample point (c 11 ) to reduce periodically caused parameter discontinuities (18), calculating (26) an approximated parameter value (C q ) at the query point (q) by data approximation (28) at least depending on the corrected parameter value (C' 12 ), calculating (34) the operating variable (B) at least dependent on the approximated parameter value (C q ). Furthermore, the invention relates to an electric machine (12).

The invention concerns a method for monitoring an airplane propulsion system, the propulsion system comprising at least one piston engine and a propeller. The method provides for acquiring an audio signal from inside an airplane cockpit, selecting the frequency with maximum amplitude of the audio signal, calculating the engine revolutions r as (I) Where -r indicates the engine revolutions per minute, p indicates the value of the maximum frequency and vindicates the number of detonations in the engine necessary to perform an engine revolution, k is a parameter dependent on the ratio between engine revolutions and propeller revolutions and is equal to 1 in the case of a propeller keyed onto a shaft of the engine.

Operating method for a building or fence closure drive device (34) for motor-driven movement of at least one leaf (20) of a building or fence closure (10), wherein the building or fence closure drive device (34) has a building or fence closure drive (38) with an electric motor (46), a load parameter detection device (40) for detecting a load parameter dependent on a load on the building or fence closure drive (38), and a frequency converter (42) for controlling the electric motor (46), comprising: Step a) Operating the frequency converter (42) in a control mode to control the electric motor (46) with the load parameter detected by the load parameter detection device (40) as an input variable, Step b)Monitoring, based on the course of the load parameter, whether the wing (20) driven by the building or enclosure closure drive (38) runs smoothly, and Step c) Switching the frequency converter (42) from control mode to U / f mode if uneven running of the blade (20) is detected in step b).

The present application relates to the technical field of pressing equipment control, and specifically relates to a pressing equipment operation parameter self-adaptive adjustment method and system. The method comprises the following steps: constructing an associated feature vector for the adjustment parameter data item in the cache, which comprises a time correlation weight, an adjustment intensity index and a parameter dependent factor; calculating the time correlation weight based on the correlation degree of the process stage and the process time interval, and then obtaining the adjustment intensity index, and generating the parameter dependent factor in combination with the parameter collaborative call directed graph; calculating the global active factor and correcting the weight of the multivariate nonlinear function, increasing the weight of the parameter dependent factor and reducing the weight of the time correlation weight when the system adjustment change degree increases, obtaining the retention value score and mapping it into the elimination probability, and then determining the elimination item to complete the self-adaptive management of the operation parameter. The present application improves the cache space utilization rate and the calling response efficiency of the operation parameter data item, and ensures the running stability of the pressing equipment under different process stages.