31 results about "Sensitivity equation" patented technology

The invention discloses a voltage out-of-limit adjusting method in the technical field of power supply system control. The voltage out-of-limit adjusting method comprises the following steps of: obtaining power flow interface data and determining nodes which take part in voltage adjustment; calculating power flow distribution of a power supply system according to the power flow interface data, so as to obtain voltage of each node; correcting and checking each node which takes part in the voltage adjustment, determining a voltage out-of-limit node and the voltage out-of-limit node with a maximum voltage out-of-limit value, and recording the node with the maximum voltage out-of-limit value as a node N*; carrying out sensitivity analysis on the node N*, calculating a reactive voltage sensitivity matrix of all the nodes which take part in the voltage adjustment to the node N*, and determining adjustment equipment taking part in the voltage adjustment; establishing a comprehensive sensitivity equation and calculating an adjustment amount of each adjustment equipment taking part in the voltage adjustment; adjusting each adjustment equipment taking part in the voltage adjustment according to the adjustment amount; calculating the adjusted voltage of each node; and if no voltage out-of-limit node exists, stopping adjusting. According to the voltage out-of-limit adjusting method disclosed by the invention, the adjustment capacity of the adjustable equipment can be rapidly and accurately calculated, and the security and the reliability of the power supply system are improved.

Provided is a static equivalence method of an external network in an interconnected power grid. The static equivalence method comprises a static equivalence model which is established on a boundary and provided with a non-generator node; two sensitivity equations before and after equivalence are equaled; and a virtual generator voltage, an equivalence injection current, an equivalence branch to ground and the like are deduced after static equivalence of the external network. In the aforementioned computation processes, the boundary of the static equivalence model is additionally provided with the equivalence branch to ground of the non-generator node of the boundary. A maximum safety error and a relative error of a line inactive injection power and an active injection power of an internal network are both improved, and a node maximum voltage amplitude relative error in the internal network is also improved so that higher static equivalence accuracy of the external network is obtained, and static safety analysis on the internal network can be better performed. When static safety analysis is performed on the internal network, a more accurate current value is also obtained.

The invention belonging to the field of the rotating shaft error measuring instrument of the non-contact R-test five-axis numerical control machine tool discloses a structural parameter optimization method for a non-contact R-test measuring instrument. The method comprises: step one, establishing a structural model of a non-contact R-test measuring instrument with an eddy current displacement sensor and preprocessing a coordinate of the structural model; step two, constructing a measurement sensitivity equation based on induced voltages measured in the step one and by the sensor to obtain a sensor elevation angle corresponding to sensitivity maximization; step three, calculating a measurement constraint equation of each sensor based on the structural model with the maximum sensitivity; andstep four, calculating the number, being the measuring space volume, of measuring points meeting a measurement constraint equation simultaneously and then acquiring a sensor central space corresponding to measuring space maximization, thereby completing the structural parameter optimization. Therefore, problems of low sensor reading sensitivity and low measuring precision of the existing contactR-test measuring instrument due to the contact wearing and the mechanical structure are solved; and the accurate measurement of the measuring instrument is realized.

The invention discloses an optimal arrangement method for urban water supply pipe network flow monitoring points. The method comprises the following steps that a water supply pipe network hydraulic model is constructed; a water supply pipe network flow monitoring point optimal arrangement model is constructed, constraint conditions of the model are a pipe network node flow continuity equation, a pipe network node water pressure constraint condition and a pipe network energy conservation equation, and a sensitivity equation of pipe network node flow to pipe network node pressure is established;Pearson correlation analysis on the sensitivity equation is adopted in the optimized arrangement model for calculating the flow monitoring points of the water supply pipe network, a simple normalization equation is solved, the arrangement positions of the pressure monitoring points and strong correlation points of the pressure monitoring points are solved, and an optimal flow monitoring point scheme is determined. According to the method, the arranged pressure monitoring points can well reflect the change condition of the node pressure, the reliability of the monitoring points is improved, meanwhile, the node range capable of being monitored by each pressure monitoring device can be determined, the requirements for representativeness, comparability and feasibility of point distribution are met, and blindness of selection of the pressure monitoring points at present is reduced.

The invention relates to a method for generating testing vectors of an artificial circuit. The method for generating the testing vectors of the artificial circuit comprises the steps of carrying out testability analysis on the circuit to be tested, namely the optimum testing node set of the circuit to be tested is selected from valid testing nodes according to a testability measurement value T of the circuit to be tested, and when the testability measurement value T is smaller than the number of circuit elements in the circuit to be tested, regular ambiguity sets are determined and at most one element is selected from each set to serve as the element to be diagnosed; establishing the sensitivity equation of each testing point in the optimum testing node set according to the variance (y(t)-y'(t)) <2> and obtaining a needed testing vector set by calculating the frequency of the extreme point of a flexibility curve, wherein y(t) is the normal output of each testing node and the y'(t) is the fault output of each testing node; deleting part of the testing vectors in the testing vector set to optimize the number of the testing vectors. The method for generating the testing vectors of the artificial circuit has the advantages that the complexity of calculation and processing is reduced, and the fault diagnosing speed is improved. The method for generating the testing vectors of the artificial circuit is particularly suitable for being used for testing and diagnosis of large-scale analogue integrated circuits.

The invention discloses a structural damage identification method based on subspace projection and sparse regularization, comprising the following steps: (1) arranging an acceleration sensor structurally for recording structural response information; (2) arranging a force sensor at the excitation point, performing the experimental modal analysis on the structure under the lossless state and the structure under the damage state separately, and extracting structural modal information; (3) establishing a sensitivity equation; (4) constructing a measurement matrix that satisfies the D-RIP condition; (5) performing subspace projection on the sensitivity equation; (6) introducing l1 norm regularization to establish a structural damage identification equation; (7) solving the recognition equationby using the signal space compression sampling matching tracking algorithm; (8) introducing damage prior information to rationalize the recognition results. According to the structural damage identification method based on subspace projection and sparse regularization, the damage is effectively located and the damage degree is quantified, the computational cost of the solution process is reducedeffectively, and the needs of assessing the structural health status timely and effectively in actual project are satisfied.

The invention discloses a method of analyzing structural reliability of an aeroengine turbine disc; a random variable mathematical model is established according to non-uniformity of turbine disc material, and a stress analysis model is established according to stress condition; PDS (probabilistic design system) in ANSYS environment is used to perform Monte Carlo sampling on random variables of a turbine disc three-dimensional model to obtain maximum stress MAXSTRESS distribution of the turbine disc under different conditions; Monte Carlo simulation tests of different levels are performed on the random variables on MATLAB (matrix laboratory) platform, and reliability of the turbine disc is calculated according to structural functions to obtain the structural reliability of the turbine disc under different conditions; sensitivity of the random variables influencing the structural reliability of the turbine disc is calculated according to sensitivity equation. The method has the advantages of high convergence speed, low cost and high precision, and theoretical basis is provided for the optimal design and reliability management for a turbine disc.

A design supporting apparatus includes a detecting unit that detects a path constituting a circuit from circuit information of the circuit; a sensitivity-equation producing unit that produces a calculating equation for a sensitivity indicating a change rate of a parameter regarding a delay of a circuit element constituting the path, for every path detected; and an element-sensitivity calculating unit that calculates a sensitivity of the circuit element by using the calculating equation produced.

The invention discloses a structure corrosion two-stage detection method and system based on rapid vibration testing, and the method comprises the steps: judging the strain flexibility of a structureaccording to the strain response and impact force time history of a long-scale-distance FBG sensor, positioning a corrosion part through employing the strain flexibility difference of the structure before and after corrosion, and achieving the corrosion positioning of a first stage; after the corrosion part is determined, reducing the rigidity of the unknown parameter to be identified of the structure from the rigidity of all units to the rigidity of the corrosion unit, establishing a sensitivity matrix for the structural section rigidity based on the long gauge length strain flexibility, solving the rigidity of the structural corrosion unit according to a sensitivity equation, and judging the corrosion amount according to the rigidity change; meanwhile, forming a two-stage strategy structure corrosion detection system based on rapid vibration by a rapid detection vehicle, a data acquisition system and a data analysis system which are matched with an impact device, wherein the two-stage strategy structure corrosion detection system is mainly used for current safety state evaluation and long-term performance evaluation of the structure, high in test precision and high in noise resistance, and can realize long-term monitoring of structure corrosion.

The invention discloses a differential interference phase-based along track interferometric SAR baseline calibration method. The method includes the following specific steps that: an along track interferometric SAR baseline calibration system including an SAR image interference module, an interference phase estimation module, a sensitivity equation module and a precision judgment module is constructed; a range direction corresponding to a certain orientation moment is selected according to a predetermined flight path, and N static corner reflectors are arranged evenly as much as possible in acalibration field, wherein N is larger than or equal to 3; the SAR image interference module acquires the differential interference phases of the calibration points; the interference phase estimationmodule estimates differential interference phases between adjacent calibration points; the sensitivity equation module calibrates baseline component error; and the accuracy judgment module judges whether accuracy meets a requirement. With the method of the invention adopted, the influence of interference phase offset error on baseline calibration accuracy is eliminated, and the calibration accuracy of the baseline component of the system can be improved.

The invention discloses a method for positioning an active load voltage sag source. The method comprises the following three steps of identifying upstream and downstream active parameters by using a Thevenin theorem-based multi-point method to obtain a voltage sensitivity equation of the upstream and downstream parameters at a monitoring point, and introducing a weight idea to perform quantitativeanalysis on upstream and downstream positioning of the voltage sag source. According to the method for positioning the active load voltage sag source based on the multi-point method and the sensitivity, the weight idea is introduced to carry out quantitative analysis on the upstream and the downstream of the voltage sag source, and the confidence coefficient of a positioning result is improved.

The present invention discloses a corrected sensitivity structural damage recognition method based on a joint index and finite information. The method comprises: firstly, characterizing a damage and an error by setting an element stiffness coefficient and a modeling error coefficient; secondly, calculating a displacement-frequency joint index based on a static and dynamic result and correcting the joint index; afterwards, extracting finite information to construct a displacement-frequency sensitivity matrix and correcting the matrix; then, calculating a change amount of element stiffness by using the corrected sensitivity matrix and the joint index; and finally, changing a model error coefficient to calculate results of different errors. The corrected sensitivity structural damage recognition method based on the joint index and the finite information provided by the present invention is based on a static and dynamic joint index, considers the finite information and by correcting a sensitivity equation, ensures that each term of a sensitivity matrix can reflect joint information of a degree of freedom in static displacement sampling and a natural frequency sampling order. The method provides a reference for a recognition operation on a dynamic and static information joint damage of a large and complex structure, and explores a new solution for a damage recognition operation where a plurality of degrees of freedom only have finite sample information.

The invention discloses a parameter measurement method and device for a hysteresis system containing a Jenkins unit and a medium. The measurement method comprises the following steps: determining a kinetic equation, a kinetic response sensitivity equation and a real acceleration response; and setting a parameter initial value, solving a response sensitivity equation according to the real acceleration response and the parameter initial value, obtaining a parameter increment, executing a plurality of iterative processes, updating system parameters, returning the obtained parameters when the iterative processes meet an end condition, and the like. When the system of the hysteresis system is measured, the conditions of various hysteresis components are analyzed on the whole level, so that theparameters of all the hysteresis components in the hysteresis system containing the Jenkins unit can be identified at one time. The invention is low in requirements for measurement time and measurement step length, and can adapt to the conditions that a hysteresis system contains a plurality of hysteresis components, and the hysteresis components may influence one another. The invention is widelyapplied to the technical field of computer assistance.

The invention relates to a phase-shift interference information processing method based on error compensation, and belongs to the technical field of optical detection and digital information processing. The method detects the sensitivity equation of a random error source to phase-shift interference measurement based on phase-shift laser interference, obtains a constraint equation set through adding a to-be-determined weight to a least square method, and determines a weight through solving the constraint equation set, thereby determining the phase-shift interference information processing method which is not sensitive to the error source. The method is based on the thought of error compensation, can eliminate the impact on phase-shift interference detection from various types of error sources, remarkably improves the repeatability, reproducibility and precision of a phase-shift laser interferometer, and facilitates the application of the technology of the phase-shift laser interferometer in high-precision optical detection.

The invention provides a distributed power supply acceptance capability uncertainty analysis method and device, and a medium. The mapping relation between the multivariate uncertainty factors and the voltage sensitivity in the power distribution network of the distributed power supply is quantified by adopting interval mathematics and affine mathematics, so that the method has the advantages that upper and lower bounds of uncertain variables of an interval method are easy to obtain, the model is simple, the applicability is high, the solving speed is high and the like; the method also has the advantages of the affine method in the aspect of tracking the correlation and coupling of multivariate uncertain variables; the affine three-phase voltage sensitivity equation based on the Jacobian matrix is deduced, and the random scene simulation method based on Monte Carlo is combined, so that the accuracy and rapidity of the acceptance capability analysis of the distributed power supply of the power distribution network are considered; and meanwhile, the possibility is provided for assisting distribution network planners to carry out on-line rapid analysis and comprehensive and accurate decision-making on the acceptance capability of the distributed power supply. Compared with an existing distributed power supply acceptance capability analysis method, the method has better performance effects and remarkable theoretical value and practical significance.