70 results about "Acceleration coefficient" patented technology

An infrared sensor is provided in a burn-in chamber. The surface temperatures of two or more semiconductor devices are measured by the sensor. A control unit calculates the internal temperatures of the semiconductor devices based on the thermal resistance values of the semiconductor device packages and controls the temperature inside the burn-in chamber so that the average of the internal temperatures is brought to a desired temperature by using a temperature controller. Further, an acceleration coefficient is obtained based on the internal temperatures, a burn-in time is determined based on the acceleration coefficient and a preliminarily given accelerated period, and a burn-in acceleration test is conducted. Moreover, when a defective semiconductor is found, the defective portion of the defective semiconductor device is specified based on the surface temperature distribution of the semiconductor device measured by the infrared sensor.

A control system (18) and method for an automotive vehicle (10) includes a controller (26) that determines whether or not a potential load change has occurred in a load change detector (59). A load change detector (59) may be coupled to various sensors to determine whether or not a change in load has occurred. If a change in load has occurred an adaptively determined roll condition parameter such as a roll acceleration coefficient, a roll rate parameter or a roll gradient may be reset. If a potential load change has not occurred, then a newly determined value for an adaptive roll condition may be included in a revised adaptive roll condition average. A safety device (44) may be controlled in response to the revised adaptive roll condition.

A control system (18) and method for an automotive vehicle (10) includes a pitch rate sensor (37) generating a pitch rate signal, a longitudinal acceleration sensor (36) generating a longitudinal acceleration signal, and a yaw rate sensor (28) generating a yaw rate signal. A safety system (44) and the sensors are coupled to a controller. From the sensors, the controller (26) determines an added mass and a position of the added mass, a pitch gradient and/or a pitch acceleration coefficient that takes into account the added mass and position. The controller controls a vehicle system in response to the added mass and the position of the added mass, the pitch gradient and/or pitch acceleration coefficient variables.

A hydraulic fluid change indicating device for an automatic transmission includes a first deterioration rate calculating unit; a deterioration acceleration coefficient calculating unit; and a thermal hydraulic fluid deterioration calculating unit for calculating a thermal hydraulic fluid deterioration according to the first deterioration rate and the deterioration acceleration coefficient. The device further includes a second deterioration rate calculating unit according to an engine speed, input shaft speed, and output shaft speed; a mechanical hydraulic fluid deterioration calculating unit for calculating a mechanical fluid deterioration according to the second deterioration rate; and a determining unit for determining whether or not the thermal hydraulic fluid deterioration or the mechanical hydraulic fluid deterioration is greater than a predetermined hydraulic fluid change threshold.

The invention relates to a working condition simulation and pre-estimating method for service lifetime of a rubber sealing element. The method includes: a step of test condition selection and sample preparation, a step of performance parameter testing and curve mapping, and a step of high-temperature accelerating simulation testing and service lifetime pre-estimating, wherein during test condition selection and sample preparation, testing conditions comprising testing parameters, sample specification, temperature values, the number of the times of testing and a sampling time interval are determined; during performance parameter testing and curve mapping, a permanent deformation main curve is mapped through a series of temperature permanent deformation tests and an acceleration coefficient is obtained; and during high-temperature accelerating simulation testing and service lifetime pre-estimating, a sample is put into a sealing structure, the acceleration temperature and the acceleration coefficient are selected, a high-temperature accelerated failure time is determined by a high-temperature acceleration test, and the pre-estimated service lifetime is calculated according to the acceleration coefficient. The method determines the acceleration coefficient by using the permanent deformation main curve and determines the failure time by the acceleration test under real working condition. The method has advantages of convenient operation, testing safety, accurate data and reliable analysis.

The invention provides a low-frequency and low-voltage load-reducing control method based on a multi-agent technology, which comprises two processes carried out simultaneously, wherein, in process 1, a local reaction layer triggers a device to act and implement load-shedding control after judging the device meets an action condition according to the measured state quantity information in real time such as local voltage, frequency and the like; and the process 2 comprises the following steps: 1. the local reaction layer uploads the local state quantity information and the actual load-shedding capacity of the device to local coordination layers; 2. the local coordination layers upload a data analysis result to sub-region coordination layers; 3. the sub-region coordination layers calculate local deloading and weighting coefficients for the local coordination layers, and meanwhile upload an information analysis result to a total-network coordination layer; and 4. the total-network coordination layer gathers information uploaded by the sub-region coordination layers, calculates sharply reduced indexes of power-receiving power of a power grid and sub-region deloading and acceleration coefficients for the sub-region coordination layers, sends the indexes and the coefficients to the sub-region coordination layers, and finally sends to the local coordination layers from the sub-region coordination layers.

The invention relates to a particle swam optimization-based heterogeneous network down link interference coordination method in a wireless communication system. According to the method, the transmitting power of a picocell in a heterogeneous network is associated with the particle position of the particle swam optimization, and the particle swam optimization is used for adjusting the transmitting power of the picocell in a combined manner, so that the situation that a macrocell and a neighbor picocell are interfered seriously and the system performance is influenced as the picocell performs transmission by the maximal power is avoided; convergence of the optimizing process is guaranteed by limiting the value range of the inertia weight and the acceleration coefficient of the particle swam optimization; the optimal transmitting power of the picocell is guaranteed by initializing transmitting power set for many times; the actual limiting conditions of the system, such as flexibility of serving cells, dynamic change of transmitting power and limit of maximal transmitting power, are taken into consideration; same-layer and cross-layer interface can be avoided simultaneously; the degree of freedom of subcarrier allocation is not influenced while the spectral efficiency of the system is improved; the total throughput of the system is greatly improved.

A method for estimating a fan life includes the following steps. Fans to be checked at a number of M are provided. A working temperature and a test temperature of a fan are set, and the test temperature is greater than the working temperature. An acceleration factor is set, which has a fixed value. The fans are kept in an operating state at the test temperature, and a number of the damaged fans is detected and recorded at intervals of a check time, until N damaged fans are detected. A distribution of time points when the fans are damaged is simulated with a Weibull distribution model, and a shape parameter and a characteristic life of the Weibull distribution model are calculated. A life value of the fans at the test temperature is calculated. A life value of the fans at the working temperature is calculated by using the acceleration factor.

The invention discloses an intrusion detection method of a cosine time-variant PSO-SVW, and belongs to the technical field of the network information security. The method comprises the following steps: performing numeralization processing on all data in a NSL-KDD data set and an ADFA intrusion detection data set in a normal sample and an attack sample, and then performing cosine time-variant PSO optimization, and performing a misuse detection by applying the cosine time-variant PSO-SVM. Compared with the existing partial time-variant plasma swarm optimized SVW model, the learning capacity of the time-variant plasma swarm algorithm in the detection process is improved according to the cosine function nonlinearity, the cosine time-variant acceleration coefficient expression way is simplified, and a value policy of the inertia weight is improved, and the elaborate degree and the searching efficiency of the current optimal target region searching are improved, thereby accelerating the convergence speed of the time-variant PSO-SVW intrusion detection model, and effectively improving the detection rate of the time-variant PSO-SVW intrusion detection model.

The present invention discloses an ultra-dense heterogeneous network energy efficiency based resource allocation method. According to the method, a resource segmentation coefficient of a macro base station in an ultra-dense heterogeneous network is associated with a transmit power of a picocell, a cell edge expansion bias of the picocell and a particle position in a particle swarm optimization algorithm; a global energy efficiency is taken as a target, and the resource segmentation coefficient of the macro base station, the transmit power of the picocell and the cell edge expansion bias of the picocell are jointly adjusted by using the particle swarm optimization algorithm, so as to achieve the objective of maximum global energy efficiency; in optimization of problem modeling, each user rate requirement in the global network is used as a constraint condition, so that the user rate requirement is ensured while the maximum global energy efficiency is ensured; and an optimization process is ensured to be converged through limitation of an inertial weight of the particle swarm and a value range of an acceleration coefficient, and the optimization process is ensured to be converged within a global optimal value through multiple times of re-initialization.

The invention discloses a PID separated parameter setting method based on a particle swarm algorithm, which comprises the following steps of: initializing and setting the number of particles, an inertial coefficient, an acceleration coefficient, the particle maximum iteration number, and an initial velocity of particle swarm, a space position component of each particle and a PID initial value corresponding to each particle; calculating an object function value corresponding to each particle; updating the position of an individual optimal particle, the position of a global optimal particle and the position component of each particle according to the object function value, and then updating the PID value corresponding to the iteration of each particle according to a PID mapping formula; repeating the iteration until the iteration ends; and outputting a global optimal PID parameter value and a corresponding PID value. According to the invention, a PID mapping algorithm is added to a conventional particle swarm optimization algorithm, and the particle space position component can be mapped to a three-dimensional PID parameter space. Thus the optimal particle position can be screened by using the algorithm, and the PID parameter setting efficiency is improved.

The invention discloses an accelerated testing method of the reliability of a ball screw pair. The method includes the steps of evaluating the reliability of the ball screw pair by means of a mean failure interval revolution evaluating method, conducting reliability modeling on the ball screw pair through a reliability acceleration model, determining the time, load, rotating speed and sample size of a test through a small-sample time terminated reliability testing method, calculating the stress acceleration coefficient and equivalent accelerated testing revolution of the test by means of a ball screw pair service life calculation formula, detecting the reasonability of test conditions (time, load and rotating speed), and finally conducting reliability accelerated testing on the ball screw pair through the determined test conditions. According to the ball screw pair reliability testing method based on an acceleration time model, the problems that the reliability testing time of a current ball screw pair is too long, expenses are too high or short-term test sample size is not enough are solved, and testing efficiency is improved.

The invention discloses an acceleration testing and evaluating method of the reliability of a ball screw pair. The method includes the following steps of classifying failures in a reliability accelerated test, calculating the failure number through a determined weighting coefficient, calculating a stress acceleration coefficient of the accelerated test through the load conditions of the reliability accelerated test, calculating single-stress or double-stress horizontal mean failure interval revolution through the acceleration coefficient, and evaluating the reliability of the ball screw pair through mean time between failures under all samples. According to a ball screw pair reliability accelerated testing and evaluating method based on an acceleration service life model, the current reliability problem of the ball screw pair with or without failures can be effectively solved, and then the accuracy of the reliability testing result is improved.

The invention provides an improved cat swarm algorithm based target extraction and classification method. A conventional swarm intelligence algorithm is excessively high in complexity of target extraction and classification, and easily falls into local optimum to cause ''precocity''. For example, a cat swarm algorithm is a typical swarm intelligence algorithm but has the shortcomings of excessively long running time and low accuracy in big data image processing. For the deficiencies of the cat swarm algorithm, the invention provides an improved cat swarm algorithm, an inertial weight coefficient and an acceleration coefficient are added in a tracking mode of the algorithm, so that the running speed of the algorithm is increased and the running time is shortened. Moreover, the improved cat swarm algorithm is applied to target object extraction and classification, namely, the method comprises: firstly, inputting images; preprocessing the images; thresholding the images into binary images, and extracting an interested target image; calculating four features of the target image to form new feature vectors; and finally, performing classification by applying the improved cat swarm algorithm. The method can not only increase the calculation speed but also improve the accuracy of target object extraction and classification.

The invention belongs to the technical field of accelerated tests of a knuckle bearing, and relates to an accelerated degradation test method of the knuckle bearing. The method includes the steps of setting quantities and sizes of accelerated stress levels and the quantity of knuckle bearing samples, arranging the knuckle bearing samples on a knuckle bearing swinging test platform, exerting load to accelerate the stress levels, monitoring wear amount continuously by means of sensors and recording data; processing the data of the wear amount by means of a computer to build an accelerated degradation model and an acceleration model; obtaining the predicted result of service life of the knuckle bearing. The method can truly reflect performance degradation progress of the knuckle bearing in normal use, enables an acceleration test to be carried out at a large acceleration coefficient, shortens test time and reduces test cost.