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3913 results about "Observational error" patented technology

Observational error (or measurement error) is the difference between a measured value of a quantity and its true value. In statistics, an error is not a "mistake". Variability is an inherent part of the results of measurements and of the measurement process.

Method of correcting measurement error and electronic component characteristic measurement apparatus

A high-precision, multi-port compatible, relative correction method and apparatus for correcting measurement errors covering an increase in the number of ports of a non-coaxial electronic component, in which a relative correction adapter 31 is provided that is formed of a two-port network connected to each port of a production test fixture 5B adjacent to a measurement apparatus. The relative correction adapter has a characteristic that modifies the electrical characteristics generated by the production test fixture 5B having an electronic component under test mounted thereon into electrical characteristics generated by a standard test fixture 5A having the electronic component under test mounted thereon. An error factor of the relative correction adapter 31 is identified from a standard test fixture measurement value and a production test fixture measurement value of a correction data acquisition specimen 11B. A production test fixture measurement value of the electronic component under test 11A is corrected with the error factor of the relative correction adapter 31 to thereby obtain the standard test fixture measurement value of the electronic component under test 11A which is assumed to be obtained when the electronic component under test 11A.
Owner:MURATA MFG CO LTD

Three-dimensional human body gait quantitative analysis system and method

The invention discloses a three-dimensional human body gait quantitative analysis system and method. The method comprises the following steps of: simultaneously using two inertia measurement nodes on feet, carrying out analyses fusion on the data of the two inertia measurement nodes, measuring a more accurate gait parameter, and obtaining information which can not be measured in a single-foot manner; and firstly storing the collected data in storage units of the measurement nodes in a walking process, and finally transmitting the collected data to an analytical calculation device in a wired or wireless manner after the walking process is ended. The high-speed acquisition of all gait information in the walking process can be realized and no characteristic gait information point is omitted. A foot part binding device of the designed inertia measurement node is adopted, a measuring error brought by fixed position shift of the measurement nodes in the walking process is eliminated, and the identity of fixed positions of the measurement nodes in a walking process is guaranteed through repeated measurement; and a gait analytical calculation program module adopts a moving window searching value method to definition a characteristic point of gait information, and can more exactly extract the gait diagnostic information.
Owner:王哲龙

Current-magnitude-based open-circuit failure online-diagnosis method for power tube of inverter

The invention discloses a current-magnitude-based open-circuit failure online-diagnosis method for a power tube of an inverter, belongs to the field of motor control, and aims to solve the problem of poor robustness of a current-magnitude-based open-circuit failure diagnosis technology for the power tube of the inverter. The method comprises the following steps of establishing a current observer model of a permanent magnet synchronous motor driving system in a failure-free state, comparing an observed current value with detection current to obtain a three-phase current residual, converting the three-phase current residual to a two-phase coordinate system in a coordinate conversion way to obtain a current residual vector, standardizing the current residual vector, and diagnosing and positioning an open-circuit failure of the power tube of the inverter according to the amplitude and the phase of the standardized current residual vector. The current-magnitude-based open-circuit failure online-diagnosis method for the power tube of the inverter is free of influence of a system closed-loop control algorithm and insensitive to loads, and has higher robustness to parameter errors, measurement errors, system disturbance and the like.
Owner:HARBIN INST OF TECH

Centroid location algorithm based on RSSI (Received Signal Strength Indication) correction for wireless sensor network

The invention discloses a centroid location algorithm based on RSSI (Received Signal Strength Indication) correction for a wireless sensor network, and the centroid location algorithm comprises: (1) anchor nodes periodically broadcast information around, wherein the information contains respective node ID (identity) and coordinates; and ordinary nodes average the RSSI of the same anchor node after receiving the information; (2) the ordinary nodes do not receive new information any more after collecting the information of n anchor nodes, wherein n is greater than 3 and less than or equal to 100; the ordinary nodes sort the anchor nodes according to the RSSI from strong to weak and establish mapping of the RSSI value and the distance from the nodes to the anchor nodes; (3) the anchor nodes with the RSSI value greater than or equal to minus 93dbm and less than or equal to minus 113dbm is selected for self-location calculation; and (4) the calculated unknown node coordinate set is aggregated and averaged to obtain the unknown node coordinates. In the invention, the point-to-point distance between the nodes is measured by correcting an RSSI ranging technology, and a triangle centroid location algorithm is adopted for location, thus the measurement error of the RSSI is reduced. Compared with the triangle centroid location algorithm based on the RSSI, the centroid location algorithm provided by the invention has the advantage that the location accuracy is greatly improved.
Owner:SHANDONG UNIV

Global calibration method based on binocular visual system and laser tracker measurement system

The invention discloses a global calibration method based on a binocular visual system and a laser tracker measurement system. Firstly a rigid stereoscopic target of which the A side is provided withbinocular visual system circular mark points and the B side is provided with laser tracker measurement target balls is manufactured; then the A side coordinate system and the B side coordinate systemof the stereoscopic target are established; the transformation relation between the A side coordinate system of the stereoscopic target and the left camera coordinate system of the binocular visual system and the transformation relation between the B side coordinate system of the stereoscopic target and the laser tracker world coordinate system are solved; the transformation relation between the Aside coordinate system and the B side coordinate system is solved according to the transformation relation solved in the last step; and finally the transformation relation between the left camera coordinate system of the global calibration binocular visual system and the laser tracker world coordinate system is solved. The difficulty of directly processing and maintaining the high-precision stereoscopic target can be reduced so that the measurement error caused by direct measurement can be solved and the more accurate calibration result can be acquired.
Owner:四川雷得兴业信息科技有限公司

Parameter calibration method for cameras of vehicle-mounted all-round view system

Provided is a parameter calibration method for cameras of a vehicle-mounted all-round view system. When internal parameters and external parameters of the cameras of the vehicle-mounted all-round view system are calibrated, a set of three-dimensional calibration markers are adopted and comprise a plurality of characteristic points which can be recognized easily from images and are provided with given three-dimensional coordinates; when a vehicle to be calibrated is parked in a calibration area, automatic image data collection is carried out through manual work or through external trigger signals, characteristic point extraction is carried out on the collected images, each camera is calibrated corresponding to the three-dimensional coordinate of each characteristic point, and errors of locating are lowered through the processes such as parameter optimization. According to the parameter calibration method for the cameras of the vehicle-mounted all-round view system, through the three-dimensional calibration markers, all areas of the cameras can be covered as much as possible, and the influence of camera distortion on the measuring errors in the calibration process is small; compared with a previous plane two-dimensional calibration board, a three-dimensional calibration board is accurate in selected characteristic point position, clear in imaging and low in error value, and image stitching precision is greatly improved.
Owner:宁波舜宇智行传感技术有限公司

Performance of artificial neural network models in the presence of instrumental noise and measurement errors

A method is described for improving the prediction accuracy and generalization performance of artificial neural network models in presence of input-output example data containing instrumental noise and/or measurement errors, the presence of noise and/or errors in the input-output example data used for training the network models create difficulties in learning accurately the nonlinear relationships existing between the inputs and the outputs, to effectively learn the noisy relationships, the methodology envisages creation of a large-sized noise-superimposed sample input-output dataset using computer simulations, here, a specific amount of Gaussian noise is added to each input/output variable in the example set and the enlarged sample data set created thereby is used as the training set for constructing the artificial neural network model, the amount of noise to be added is specific to an input/output variable and its optimal value is determined using a stochastic search and optimization technique, namely, genetic algorithms, the network trained on the noise-superimposed enlarged training set shows significant improvements in its prediction accuracy and generalization performance, the invented methodology is illustrated by its successful application to the example data comprising instrumental errors and/or measurement noise from an industrial polymerization reactor and a continuous stirred tank reactor (CSTR).
Owner:COUNCIL OF SCI & IND RES

Calibration compensation method for triaxial vector sensor and biaxial vector sensor

The invention relates to error correction of a vector sensor, in particular to a calibration compensation method for a triaxial vector sensor and a biaxial vector sensor, and solves the problems that the calibration compensation method of the existing multi-axial vector sensor fails to take all factors causing measurement error into account and the like. In the method, an error correction mathematical model of the vector sensor is built according to the relation of actually measured output Sm and theoretical output Se of the vector sensor, i.e. Sm=KSe + S0 and according to an error coefficient matrix K=K1K2, wherein, K1 and K2 are respectively a sensitivity error coefficient matrix of the triaxial vector sensor and a non-orthogonal error coefficient matrix among three measured axes; and an effective method is utilized to obtain correct zero-offset S0 and a correction coefficient matrix K-1 in the error correction mathematical model, and finally the error correction mathematical model of the measured vector sensor is obtained to carry out calibration compensation on the measuring result of the vector sensor. The method achieves calibration compensation taking into account of all the factors causing the measurement error of the multi-axial sensor, thus improving the accuracy of measuring results; and the method has concise and convenient process and no excessively high requirements on hardware equipment, thus being suitable for various vector sensors.
Owner:ZHONGBEI UNIV

Method and system for calibrating external parameters based on camera and three-dimensional laser radar

The invention discloses a method for calibrating external parameters based on a camera and a three-dimensional laser radar, which comprises the following steps: according to a covariance of measurement errors in the perpendicular line direction from a three-dimensional laser radar coordinate system origin to different position target planes and a covariance of measurement errors in a conversion relationship from a three-dimensional laser radar coordinate system to a camera coordinate system in the perpendicular line direction, acquiring an equation of a quadratic sum of the variance including the variance of the camera measurement noise and the variance of the three-dimensional laser radar measurement noise in the covariance of the measurement errors in the conversion relationship; and calibrating a rotation matrix with maximum likelihood estimate by using the reciprocal of the quadratic sum of the variances of all obtained measurement noise as a weighting coefficient. The invention also discloses a system for calibrating the external parameters based on the camera and the three-dimensional laser radar at the same time. The effect of the measurement errors on the rotation matrix to be calibrated is taken into consideration during calibrating, and the algorithm of the maximum likelihood estimate is adopted for the measurement errors in the calibrated result of the rotation matrix, so the calibrating result is more accurate.
Owner:BEIJING INSTITUTE OF TECHNOLOGYGY
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