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154 results about "Independent element" patented technology

Independent Elements. Independent Elements : A word or group of words that has no grammatical connection with the sentence in which it stands is called an independent element. Independent elements are of four kinds. 1. Interjections. 2. Vocatives (or nominatives by direct address) 3. Exclamatory nominatives.

Polarized SAR (synthetic aperture radar) image classification method based on depth PCA (principal component analysis) network and SVM (support vector machine)

The invention discloses a polarized SAR (synthetic aperture radar) image classification method based on a depth PCA (principal component analysis) network and an SVM (support vector machine) classifier. The polarized SAR image classification method includes filtering a polarized SAR image, extracting a shape feature parameter, a scattering feature parameter, a polarization feature parameter and independent elements of a covariance matrix C, and combing and normalizing into new high-dimensional features serving as data to be processed in a next step; according to actual ground feature flags, randomly selecting 10% of data with flags from each type to serve as training samples; whitening the training samples to serve as input to train a first layer of the network, taking a result as input of a second layer to train the second layer of the network, and performing binaryzation and histogram statistics on an output result; taking output of the depth PCA network as a finally learned feature training SVM classifier; whitening test samples, and inputting the test samples into a trained network framework to predict and calculate accuracy; coloring and displaying a classified image and outputting a final result.
Owner:XIDIAN UNIV

Combined type flexible clamp for vacuum brazing of core body of plate-fin type aluminum heat exchanger

The invention discloses a combined type flexible clamp for vacuum brazing of a core body of a plate-fin type aluminum heat exchanger, belonging to the technical field of aluminum alloy welding. The combined type flexible clamp for assembling the core body of the plate-fin type aluminum heat exchanger before the vacuum brazing is characterized by comprising a bottom plate, pull rods, springs, grooved spring bearer plates, a grid frame, a cover plate and top sliding plates and being of a combined type detachable independent element structure, wherein the constituent elements of the clamp are combined according to the dimension of the core body, to be brazed, of the heat exchanger. The springs of the clamp are paired into groups and kept dynamically balanced through the grooved spring bearer plates and the pull rods, so as to fixedly position each constituent element of the core body of the heat exchanger and supply flexible pressure to the core body of the heat exchanger in a vacuum brazing process, so that the constituent elements in each group of the core body of the heat exchanger are coordinated in deformation, and the brazing requirement is met. According to the invention, a flexible pressing method and a combined type structure are adopted, and the clamp is simple structure, convenient to use, strong in reliability, low in cost, wide in applicable range, long in service life and good in economy.
Owner:ZHEJIANG UNIV

Abnormity detection and diagnosis method for non-gaussian dynamic high-sulfur natural gas purification process

ActiveCN104656635AOvercome the inability to apply to non-Gaussian process monitoringNon-Gaussian implementationElectric testing/monitoringTime delaysSystem failure
The invention discloses an abnormity detection and diagnosis method for a non-gaussian dynamic high-sulfur natural gas purification process. The diagnosis method comprises the following steps: randomly collecting high-sulfur natural gas purification process data to form an original measurement sample set; preprocessing the data; determining the time delay order of the model by analyzing an industrial process autoregression model, then projecting the data to a nuclear independent element space, and realizing abnormity detection by monitoring whether the statistics of T2 and SPE corresponding to an independent element is beyond the control limit set under the normal state or not; finally, calculating a first-order partial derivative of the statistics of T2 for original variables, drawing the contribution chart of the first-order partial derivative, and thus realizing abnormity diagnosis. The method can detect failure occurrence in time and retrospects the reason of process operating parameters which cause failures, so that decision-making reference is provided for system failure investigation and recovery and monitoring in the nonlinear, dynamic and non-gaussian process is realized.
Owner:CHONGQING UNIVERSITY OF SCIENCE AND TECHNOLOGY

Real-time data abnormal diagnosis method for monitoring operation of nuclear power unit

The invention discloses a real-time data abnormal diagnosis method for monitoring operation of a nuclear power unit. The method comprises the following steps: selecting a plurality of important variables for monitoring operation of the nuclear power unit to form a real-time data anomaly diagnosis variable set, establishing an abnormal diagnosis model through the principal component analysis and the independent element analysis technology, determining a control limit used for judging whether an abnormal event occurs in the real-time operation data or not through the nuclear density estimation technology; meanwhile setting an automatic updating mechanism of the model to ensure the precision of the model. The method disclosed by the invention overcomes data model 'ill-condition' problems caused by the characteristics of the actual industrial data such as serious correlation and redundancy, random noise, mode variability, intrinsic nonlinearity and the like, 'false alarm' and 'missed alarm' can be effectively avoided. The method is suitable for real-time monitoring of the nuclear power unit and early warning and diagnosis of the ''abnormal event or accident'', and is beneficial to improving the safety of the nuclear power unit.
Owner:ZHEJIANG UNIV

Abnormity detection method for natural gas purification process based on analysis of independent component of dynamic kernel

ActiveCN104635724AReflect the actual characteristics of the production processOvercome precisionElectric testing/monitoringAnalysis dataData acquisition
The invention discloses an abnormity detection method for natural gas purification process based on analysis of an independent component of a dynamic kernel. The diagnosis method comprises the following steps: determining technical parameters in a monitored purification and desulfuration production process for natural gas with high sulfur content; carrying out data acquisition on the purification and desulfuration production process for the natural gas with high sulfur content; preprocessing data; analyzing an autoregressive model of the data, and determining a dynamic lag order of the model to obtain a dynamic expansion matrix; carrying out whitening processing on the expansion matrix in a kernel principal component space, extracting a principal component, and analyzing and estimating an independent element by an independent component; calculating an SPE statistical magnitude and a T2 statistical magnitude corresponding to the independent element, analyzing whether the statistical magnitudes are overproof or not, determining that an abnormal working condition happens if the statistical magnitudes are overproof, otherwise, determining that the working condition is normal, and carrying out abnormal working condition parameter tracing by a T2 contribution figure method. According to the method, a failure can be detected in time, and a failure reason resulting in the technical operation parameter is traced back, so that a decision-making reference basis is provided for system failure elimination and recovery.
Owner:CHONGQING UNIVERSITY OF SCIENCE AND TECHNOLOGY

Rapid decomposition method trend calculating method based on Matlab

The invention discloses a rapid decomposition method trend calculating method based on a Matlab. The method comprises the following steps that matrix operation and complex number operation are used; an array bt1 is set and a node number of a non-equilibrium node is recorded, and an array bt2 is set and a node number of a PQ node is recorded; when equation set coefficient matrixes B' and B'' are formed, a node type is not considered, and then according to the arrays bt1 and bt2, a matrix element is extracted, and redundant rows and columns are removed; and before iteration, according to the arrays bt1 and bt2, node-injected active and reactive independent elements are removed. In the invention, program codes are reduced, programming is simplified, and a program is clear so that scientific research personnel can conveniently modify the program, debug and improve the program, and add a new function. In the invention, during LU decomposition, an independent element of a coefficient matrix is removed, and before iteration, node-injected active and reactive independent elements are removed; and during an iteration process, work of mentioning a correlation matrix or a vector element repeatedly can be avoided, calculating workloads are reduced and a calculating speed is increased.
Owner:DALIAN MARITIME UNIVERSITY

Virtual instrument-based relay protection secondary circuit simulation method

The invention discloses a virtual instrument-based transformer substation relay protection secondary circuit simulation method. A relay protection accident caused by a secondary circuit fault is difficult to analyze and judge by the conventional method and is difficult to represent by a test method, and power failure is always required, so that the accident is not handled quickly and effectively. The method comprises the following steps of: analyzing the function and property of a simulated relay protection secondary circuit, the types and numbers of elements and the numbers, states and properties of input and output interfaces on the secondary circuit; and calling various virtual relays, a virtual independent element and a user customized control, performing logical configuration by using a logic element according to the simulated relay protection secondary circuit to establish a virtual relay protection secondary circuit, and simulating by using the virtual relay protection secondary circuit. By the method, problems such as contact competition, a secondary parasitic circuit and the like of relay protection can be researched accurately, and design defects of a relay and the relay protection secondary circuit can be found by a simulation experiment.
Owner:ELECTRIC POWER RES INST OF STATE GRID ZHEJIANG ELECTRIC POWER COMAPNY +2

Method for monitoring faults in fermentation process based on MICA-OCSVM

The invention discloses a novel method for achieving real-time fault monitoring on a penicillin fermentation process. In order to guarantee safety and stability of the penicillin fermentation process, it is necessary to establish an effective process monitoring scheme to detect abnormal phenomena timely. The method comprises two steps of off-line modeling and on-line monitoring. The step of off-line modeling comprises the steps of firstly carrying out processing on three-dimensional data of the fermentation process, then extracting independent element information of the data by adopting ICA, and finally carrying out modeling by utilizing OCSVM to structure monitoring statistical magnitude and determining a control limit by utilizing a kernel density estimation method. The step of on-line monitoring comprises the steps of carrying out processing on newly collected data according to a model, calculating the statistical magnitude of the data, and comparing the statistical magnitude and the control limit to judge whether the fermentation process runs normal or not. According to the method for monitoring the faults in the fermentation process based on the MICA-OCSVM, the assumption that a fermentation process variable subjects to Gaussian distribution or non-Gaussian distribution or other distributions is not needed, and the accuracy rate of fault monitor is high.
Owner:BEIJING UNIV OF TECH
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