975 results about "Sensitivity analyses" patented technology

A quantitative risk assessment system (QRAS) builds a risk model of a system for which risk of failure is being assessed, then analyzes the risk of the system corresponding to the risk model. The QRAS performs sensitivity analysis of the risk model by altering fundamental components and quantifications built into the risk model, then re-analyzes the risk of the system using the modifications. More particularly, the risk model is built by building a hierarchy, creating a mission timeline, quantifying failure modes, and building/editing event sequence diagrams. Multiplicities, dependencies, and redundancies of the system are included in the risk model. For analysis runs, a fixed baseline is first constructed and stored. This baseline contains the lowest level scenarios, preserved in event tree structure. The analysis runs, at any level of the hierarchy and below, access this baseline for risk quantitative computation as well as ranking of particular risks. A standalone Tool Box capability exists, allowing the user to store application programs within QRAS.

An automated analyzer for analyzing patient samples. The analyzer includes a plurality of cuvettes, which allow the samples to be mixed with various reagents. The analyzer includes one or more detectors, including a detector adapted to detect luminescence of the reaction mixture in the cuvettes. The analyzer allows for various diagnostic assays to be performed on a single system, and provides for high-sensitivity analysis at faster speeds.

The present invention includes a method and system for determining the profile of a structure in an integrated circuit from a measured signal, the signal measured off the structure with a metrology device, selecting a best match of the measured signal in a profile data space, the profile data space having data points with a specified extent of non-linearity, and performing a refinement procedure to determine refined profile parameters. One embodiment includes a refinement procedure comprising finding a polyhedron in a function domain of cost functions of the profile library signals and profile parameters and minimizing the total cost function using the weighted average method. Other embodiments include profile parameter refinement procedures using sensitivity analysis, a clustering approach, regression-based methods, localized fine-resolution refinement library method, iterative library refinement method, and other cost optimization or refinement algorithms, procedures, and methods. Refinement of profile parameters may be invoked automatically or invoked based on predetermined criteria such as exceeding an error metric between the measured signal versus the best match profile library.

Many business problems involve too many complex and interacting variables for a person to solve them, unassisted. Linear programming, statistical and probability analyses provide effective tools for solving such problems, but until now, use of these tools has not been practical for persons without extensive mathematical training. The present invention provides an understandable user interface to these tools, enabling even mathematically unsophisticated users to effectively solve complex problems. The invention also incorporates sensitivity analyses, thereby permitting the user to explore how changes in input data would affect the results of the program calculations. In addition to a data-input program module, respective program modules are disclosed for managing a company product line, a securities portfolio, and a short-selling portfolio.

The present invention relates to systems and methods for calculating a segment's sensitivity to price changes. A histogram distribution is generated for transaction frequency by price as the initial part of the sensitivity analysis. The shape of this histogram may be used to extrapolate a sensitivity measure. This can be done in two distinct ways: statistical regression or slope approximation. For statistical regression, the inverse of the cumulative distribution function is first calculated. The slope of this function is determined to be the sensitivity; the steeper the curve the more sensitive the segment is to price changes. The second technique approximates the slope of the right hand side of the histogram in order to determine sensitivity.

Heating is a significant factor in residential gas-energy usage. Saving energy on heating is receiving increasing attention with rising energy prices and the Kyoto Protocol on reducing greenhouse gas emissions. Energy awareness and energy efficiency hereby become important qualifications for human behavior and residential building codes, and become a factor in the evolution of the global climate. Here, we describe a novel measurement and validation system for domestic gas-energy usage in combination with primary weather data. We disclose a gas-energy observatory which visualizes human behavior in gas-energy consumption associated with domestic facilities, and measures home energy efficiency by calorimetry. Weather-sensitivity analysis quantifies energy-usage as a function of small variations in room temperature and home energy efficiency. Weather-sensitivity data can be used to calculate changes in room-temperature settings or improvements in home insulation for a desired reduction in CO₂-output. By public dissemination of its primary weather data, it creates in dual-use at no additional cost a novel in-situ climate observational systems with unprecedented wide-area coverage and spatial resolution.

“Determining Validity Ranges of Query Plans Based on Suboptimality” A method for approximating a validity range for a domain of cardinalities of input to an optimal query plan is provided. Such a validity range is iteratively approximated using a modified Newton-Raphson method to find roots of cost functions for optimal and alternative query plans, respectively. The Newton-Raphson method is combined with a method of incrementing roots of cost functions, known as input cardinalities, such that discontinuous and non-differentiable points in cost functions are avoided. In this manner, input cardinalities remain within a domain for which a valid range can be specified. Additionally, a robustness measure is determined by a sensitivity analysis performed on an approximated validity range. Using a robustness measure provided by a sensitivity analysis and resultant validity range and, query plan sub-optimality detection is simplified, re-optimization is selectively triggered, and robustness information is provided to a system or user performing corrective actions.

A lightweight forward design method and system of automobile structure based on multi-performance constraints is disclosed. The finite element analysis model of automobile body structure is established by using finite element modeling technology. The typical force transfer path of automobile structure is identified by using topology optimization technology and the bending/torsional rigidity performance of automobile body is taken as constrained working condition, and lightweight design in conceptual stage is carried out. Then the strain energy analysis and the material thickness sensitivity analysis are carried out by using the sensitivity analysis technology, and the weak links and the critical design area of the vehicle body are found. Topography optimization is used to improve vehicle performance; Finally, based on business integration optimization software, The multi-performance target of automobile body is analyzed by integrated simulation, and the correlation between design parameters and performance, performance and performance is studied by using DOE sampling and data mining technology, and then the lightweight design of automobile body structure considering multi-disciplinary performance is carried out, which reduces the quality of automobile body structure, improves product performance, shortens R D and manufacturing cycle, and saves cost.

The invention provides a building construction quality safety online risk assessment system. The system comprises: a project management module, an engineering information module, a risk identification module, a risk assessment module and a dynamic risk assessment module. The project management module is used for information management of a building construction project and a case library. The engineering information module is used for general situation information management of the building construction project. The risk identification module can automatically identify a risk event and a risk factor according to an engineering general situation information system so as to form a risk list and a risk tree. The risk assessment module carries out data reasoning according to comparison of the project general situation information and the similar project information in a database, estimates a risk event generation probability and losses, determines a risk grade, determines an importance degree of the risk factor through a sensitivity analysis and automatically searches the database so as to obtain a pre-control measure and form a risk assessment report. The dynamic risk assessment module is used for risk tracking, monitoring and situation evaluation during an engineering construction process.

In the Network Global Expectation Model, expectation values evaluated over the entire network are used as a multi-moment description of the required quantities of key network and network element (NE) resources and commensurate network costs. The Network Global Expectation Model naturally and analytically connects the global (network) and local (network element) views of the communication system, and thereby may be used as a tool to gain insight and very quickly provide approximate results for the preliminary evaluation and design of dynamic networks. Further, the Network Global Expectation Model may serve as a valuable guide in the areas of network element feature requirements, costs, sensitivity analyses, scaling performance, comparisons, product definition and application domains, and product and technology roadmapping. The network is arranged as a multiple tier network of nodes in order to apply the analysis methods of the Network Global Expectation Model. The analytical method is developed to include non-uniform demands on the network.

The invention, which belongs to the shale gas development field during oil-gas field development, discloses an initial productivity prediction method of a shale gas horizontal well. The method comprises the following steps: establishing a well logging interpretation and construction fracturing parameter database of a shale gas horizontal well; carrying out thickness weighting calculation to obtain relevant single-well geological and engineering parameters; carrying out a multi-factor sensitivity analysis by using an orthogonal test method to determine main controlling factors influencing the productivity of the shale gas horizontal well; and establishing an initial productivity prediction equation of the shale gas horizontal well based on multiple regression linearity and predicting the productivity of a newly-drilled shale gas horizontal well by using the equation as a model. On the basis of comparison of a predicted result and an actual measurement result, the relative error is less than 20%, so that the productivity precondition precision based on the method is high.

The invention provides an identification method of transient state power-angle stable key transmission cross-section corresponding to an expected fault, belonging to the field of electric power systemdispatching automation. Based on a transient state power-angle stable quantitative analysis theory and method, namely extended equal-area criterion (EEAC), the method identifies the key transmissioncross-section corresponding to the expected fault to provide decision support for the electric power system dispatching operation and control. The method comprises the following steps: carrying out atime domain simulation in an expected fault scene based on the operation state, model and parameters of an electric fence; identifying a generator critical group with stable transient state power-angle by EEAC based on simulation track and calculating the participation factor of the generator; calculating the sensitivity to the cross-section components power change caused by the output of each generator in the generator critical group by a power flow sensitivity analysis method; and taking the sum of products of the participation factor in each generator of the generator critical group and corresponding sensitivity of the cross-section component as a judging indicator of the transient state stable key transmission cross-section corresponding to the fault.

The invention provides a side slope stable reliability sensitivity analysis method based on Monte Carlo simulation. The side slope stable reliability sensitivity analysis method based on the Monte Carlo simulation includes: step 1, constructing a joint probability density function of uncertain parameters; step 2, using a Monte Carlo simulation method to obtain a side slope failure probability, and obtaining a failure sample; step 3, designing various sensitivity analysis schemes, and respectively constructing joint probability density functions of uncertain parameters under all the sensitivity analysis schemes; step 4, obtaining side slope failure probabilities under all the sensitivity analysis schemes; step 5, obtaining a variation trend of the side slope failure probabilities along with statistical characteristics of the uncertain parameters according to the side slope failure probabilities under all the sensitivity analysis schemes. The side slope stable reliability sensitivity analysis method based on the Monte Carlo simulation is wide in application range, simple in computation process, high in computation efficiency, and capable of effectively revealing a response regularity between the reliability level of a side slope and the statistical characteristics of the uncertain parameters, and has certain guiding significance for side slope risk control, design optimization and the like.

The invention discloses a blower fan load high-efficiency assessment system. The blower fan load high-efficiency assessment system includes a querying module of a load simulation database, wherein the querying module can query and manage simulation input data and load data of all types of research and development machines, such as a unit boundary condition, tower size, blade design data, a complete machine Bladed model, and load data of main parts, blades, and a tower; a load comparison and sensitivity analysis module which can perform comparison analysis on boundary conditions, main part loads, and blade and tower loads of different projects, and perform sensitivity analysis on loads of identical projects with different boundary conditions; and a unit load strength applicability assessment module which can interpolation-calculate a load corresponding to a specific site based on mass load simulation data change for boundary condition parameters such as the air density, the annual average wind speed, the turbulence intensity, wind shear, and the inflow angle, and can perform strength assessment on parts according to strength assessment margin of a reference project. The blower fan load high-efficiency assessment system can improve the calculation efficiency of a blower fan generator unit load, can shorten the life period, and can save cost.

The invention discloses an evaluation method of reliability of an aerospace electronic product based on a failure mechanism. On the basis that an analysis method with a combination of physical simulation and a test is adopted, a physical simulation model of the electronic product is constructed, the means such as sensitivity analysis, Monte Carlo analysis, and stress analysis are adopted, and product key elements are identified and in combination with actual working conditions of the elements, a failure mechanism analysis is conducted. Currently, the failure mechanism analysis aiming at the elements is a means used for analyzing a failure reason after a failure occurs during the test or in the using process of the electronic product, thus pertinent improvement is conducted on the product, the service life of the product is prolonged, and the reliability of the product is improved; the failure mechanism analysis aims at finding key characteristic parameters which affect the service life and the reliability of weak elements as an independent variable of the reliability model.

The invention discloses a recognition method of a critical geometrical error source of a machine tool and belongs to the technical field of machine precision designing. The recognition method of the critical geometrical error source of the machine tool is characterized by comprising the steps that the machine tool is abstracted into a multi-body system according to the structure and motion characteristics of the machine tool, relevance of parts of the machine tool is described by a topological structure and a low-order body array, a generalized coordinate system is built in the multi-body system, coupling relationship of error amounts of parts of the machine tool is described by a homogeneous transformation matrix, a characteristic matrix and a motion equation of the relative movement between two adjacent bodies of the machine tool are elicited, a precision model of a machining center is built, an ordinary mathematical model used for error sensitivity analysis of a four-shaft machine tool is built with a matrix differential method according to the precision model of the precision horizontal machining center, influence degrees on the whole space error of all error elements are compared by calculating the geometrical error sensitivities of all parts, and finally the critical error source influencing the machining precision of the machine tool is recognized.

In designing supersonic aircrafts, a method of designing a natural laminar flow wing is provided which reduces friction drag by delaying boundary layer transition under flight conditions of actual aircrafts. A target Cp distribution on wing upper surface, suited to natural laminarization in which boundary layer transition is delayed rearward in desired Reynolds number states, is defined by a functional type having as coefficients parameters depending on each spanwise station, a sensitivity analysis employing a transition analysis method is applied to the parameters, and a search is performed for the optimum combination of parameters to delay transition rearward.

The invention discloses a highway tunnel operation environment safety risk automatic judgment method. The highway tunnel operation environment safety risk automatic judgment method, starting from comprehensive tunnel operation environments in four major aspects, that is, road environment index, traffic circulation environment index, traffic engineering facility environment index and climatic environment, extracts main evaluation index of the highway tunnel operation environment through a Delphi method, carries out sensitivity analysis on the evaluation index, establishes a highway tunnel operation environment evaluation index system, determines weight of each evaluation index through an AHP method and an entropy weight method, and carries out safety evaluation on the highway tunnel operation environment through a fuzzy comprehensive evaluation method.