94results about How to "Applicable engineering application" patented technology

The invention relates to an electronic complete machine storage life assessment and prediction method. On the basis of analyzing a typical complete machine failure mechanism, an Arrhenius model-basedcomplete machine level acceleration factor calculation method is proposed; the method can perform electronic complete machine acceleration factor calculation by only three parameters; an accelerationtest is performed according to a calculation result and data is obtained; by utilizing an optimized GM(1,1) grey model-based prediction algorithm, a degradation law of natural storage and accelerationtest data is researched; the consistency of degradation trends of two groups of data is analyzed; closed-loop correction of acceleration factor calculation model parameters is realized by utilizing aconsistency analysis result; and finally electronic complete machine storage life prediction is realized by utilizing a corrected model. The method is simple and easy to understand and relatively high in prediction precision, and is suitable for engineering popularization.

The invention relates to a partial discharge signal pattern recognition method and system. The method is mainly technically characterized in that a large data sample of a partial discharge signal is acquired; a deep convolutional neural network model is constructed; the deep convolutional neural network model is trained based on the large data sample of the partial discharge signal; and the pattern of the partial discharge signal to be recognized is determined based on the trained deep convolutional neural network model. According to the invention, the design is reasonable; the deficiencies ofpartial discharge detection of a GIS in the substation field in the prior art are overcome; pattern recognition can be carried out on partial discharge of large number and complicated sources of theGIS in the substation field; the accuracy of pattern recognition is higher; and the method and system have better recognition performance, and are more suitable for engineering applications under a big data platform.

Disclosed is a transmission network risk assessment method considering substation influence. The method includes the steps of first collecting reliability parameter data of a local power grid and eachsubstation internal component as well as basic parameter data of the substation internal relay protection; then establishing a Markov state model of the power grid and the substation internal components and a relay protection implicit failure model, and determining the probability of occurrence of the components and relay protection states; then sampling a system state by using an improved non-sequential Monte Carlo simulation method; and finally, analyzing the load loss risk of the system state by using a load shedding optimization model based on the DC flow, calculating a risk index of thetransmission network and assessing the risk of the transmission network according to the risk index. The method in the invention can reflect the influence of the substation on the risk assessment of the transmission network to the greatest extent, further improves the accuracy and real-time performance of risk assessment under the premise of meeting the calculation precision, and can provide a reliable basis for power grid operators to understand the real-time risk of the power grid.

The invention discloses a quick analysis and design method for a heat protection system of an aerospace flying vehicle. The method comprises three main modules, namely, a one-dimensional unsteady heat conduction calculation module, a heat protection system thickness optimization module, a heat protection system structure inner wall node coordinate determination and structure total weight calculation module, and a heat protection system analysis and design program structure description module. According to the method, the characteristic of quickness of heat protection system design is highlighted in a one-dimensional unsteady heat conduction calculation process; and the efficient and accurate thickness optimization process and the detailed heat protection system structure inner wall node coordinate determination and structure total weight calculation process provide a convenient tool for non-professional personnel to perform analysis and design of the heat protection system of the flying vehicle.

The invention relates to a progressive damage model-based full-SiC composite multi-nail connection structure failure analysis method. The method comprises the following steps of: (1) establishing a bilinear constitutive model of materials on the basis of C/SiC composite material mechanical property test; (2) establishing a composite material structure three-dimensional finite element model according to a C/SiC composite material multi-nail connection structure geometric parameter; (3) carrying out stress analysis on the basis of the composite material structure three-dimensional finite elementmodel; (4) predicting failure states of the composite materials by applying a failure criterion suitable for C/SiC composite materials; (5) carrying out material rigidity degeneration on the failurematerials according to a degeneration model; and (6) judging whether damages in the composite materials cause structure damage or not, and if the judging result is negative, continuously carrying outloading until the materials fail. The method is suitable for engineering application, and is capable of effectively analyzing and predicting the failure of C/SiC composite material multi-nail connection structures, remarkably reducing the test cost and providing references for engineering practices.

The invention discloses a dual quaterion inertia/astronomy combined navigation method based on gyroscope error correction, and belongs to the technical field of aircraft combined navigation. According to the method, a gyroscope/accelerometer error model is set up firstly; then gyroscope and accelerometer errors are extended into a system state quantity, and an inertia/astronomy combined navigation state equation and a measurement equation based on dual quaterion are set up, and an observability degree analysis method based on singular value decomposition is adopted for carrying out dimension reduction processing on a system; finally, a Kalman filtering method is adopted for carrying out open loop estimation on all state quantities, and the estimated value is utilized for carrying out online correction on gyroscope original output. According to the method, navigation precision is guaranteed, meanwhile, the real-time performance of the combined navigation system is improved, an inertial navigation system can still keep high precision within a period of time under the condition that astronomical sensor information is lost, and therefore the performance of the inertial navigation system is improved.

The invention discloses an industrial robot calibration method considering parameter coupling. A parameter identification model established by the calibration method considers the coupling relation among kinematic parameters, is suitable for calibration of an industrial robot with coupling joints, considers the compensability of the parameters in a robot controller, facilitates compensation of parameter errors, and facilitates engineering application of the calibration method. According to the calibration method, measurement equipment independent of the industrial robot is adopted, a method for approximately solving a pose matrix of a basic coordinate system of the robot relative to a coordinate system of a measurement system is provided, and the calibration method is easy to operate; andthe calibration method can consider the coupling relation among to-be-identified parameters, and is suitable for a robot with the coupling joints, simple in operation steps, convenient in parameter error compensation, and suitable for engineering application.

The invention discloses an OLTC fault diagnosis method based on combination of a wavelet packet and a neural network. The method comprises the following steps: (1) applying a vibration detection probeon a top end of a tank wall of an on-load tap-changer, respectively vibration signals produced in the action process under a normal state, a contact loose state, a contact abrasion state and a contact burning state of the on-load tap-changer, and respectively collecting multiple groups of vibration signals under each state; 2) decomposing the OLTC vibration signals into different frequency bandsutilizing a wavelet decomposition principle; (3) computing an energy spectrum entropy of each frequency band, thereby constructing a wavelet packet energy spectrum entropy vector as the input vector of the neural network; and (4) performing fault mode recognition by utilizing the method of combining the confidence coefficient and the neural network. A working state of a transformer on-load tap-changer can be monitored in real time, a real-time fault diagnosis requirement of the on-load tap-changer can be satisfied, the data support and theoretical evidence are provided for the purposeful overhauling, and the manpower, the material resource and time waste are avoided.

The invention discloses an overvoltage protection configuration system of a unified power flow controller. The system comprises a direct-current overvoltage protection device, a valve overvoltage protection device and a sub-module overvoltage protection device. The relation of protection action constant values can be expressed by a relational expression that (N*Vov2)>(N*Vov1)>Uov1>...>Uovm>Unom. The cooperative relation of protection action delay can be expressed by a relational expression that Tvo2<Tvo1<Tuo1...<Tuom. Lightning arresters and by-pass switches which are in bridge joint are configured at two ends of the circuit-side winding of a series transformer; grounding lightning arresters are respectively configured at the near bus-bar end and near circuit end of the circuit-side winding of the series transformer; grounding lightning arresters are configured at the alternating-current power grid side and converter side of a parallel transformer; and grounding lightning arresters areconfigured at the alternating current-direct current side and valve bottom of a converter. With the overvoltage protection configuration system of the invention adopted, the converter can act reliably when the system is disturbed or the sub-modules of the converter fail, and therefore, the reliability of the unified power flow controller can be improved.

The invention provides a process for separating calcium and magnesium ions from waste water containing manganese. The process comprises the following steps: mixing fluoride which is a precipitating agent with waste water containing manganese through a form of dry powder feeding, generating sediment after a full reaction, carrying out press filtration on sediment slurry with a plate and frame filter press, and followed by clear liquid filtering to enters subsequent processing. Processing equipment of the process comprises a precipitating agent bunker, a dry powder feeder, a reaction tank, a sedimentation basin, a clear liquid pool, an ultrafiltration system and the plate and frame filter press, wherein a stirrer is provided with in the reaction tank, and pipelines and pumps are provided between equipment. The advantages of the process in the invention are as follows: the process is suitable for processing waste water containing manganese with various ion concentration, and application range of pH value of the process is wide; the process has a high rate of calcium and magnesium ions removal, and through adjusting addition a removal rate can reach 100%; on condition that a loss rate of manganese ion is less than 0.2%, the process can effectively remove the calcium and magnesium ions from the waste water containing manganese to achieve the purpose of separating calcium magnesium ions. The process is suitable for separating calcium and magnesium from waste water in electrolytic manganese production.

The invention discloses a dual polarization broadband external inhibition three-dimensional frequency selective surface. The frequency selective surface is of a three-dimensional periodic structure processed by a dielectric substrate, and comprises a square coaxial line waveguide and a parallel slab waveguide. The surface of the dielectric substrate is provided with metal patches, rectangular grooves are formed in two ends of each metal patch in the propagation direction of electromagnetic waves, and metal via holes in the dielectric substrate are connected to the metal patches on two sides. Adual mode resonator is formed by the parallel slab waveguide, a passband containing two transmission poles is generated, and due to the interaction between the two waveguides, a wide stop band containing two transmission zero points is generated near the passband. The frequency selective surface has low polarization sensitivity in a dual polarization operating mode, the frequency ranges of the passband and the stop band can be controlled by changing relevant physical parameters, dual polarization application is realized, and the frequency selective surface has high incident angle stability.

The invention discloses an OLTC fault diagnosis method based on recurrence plot and recurrence quantitative analysis, and the method comprises the steps: 1, enabling a vibration detection probe to beattached to the top end of the box wall of an on-load tap-changer, and collecting vibration signals generated in the action process of the on-load tap-changer in different states, such as normal state, contact looseness, contact abrasion, contact burnout and the like; 2, performing phase space reconstruction on the vibration signal from the recursion characteristic of the vibration signal; 3, carrying out qualitative and quantitative analysis on the phase trajectory by respectively adopting a recursive graph (RP) and a recursive quantitative analysis (RQA); And 4, carrying out fault diagnosisaccording to qualitative and quantitative analysis results. The working state of the transformer on-load tap-changer can be monitored in real time, and the requirement for real-time fault diagnosis ofthe transformer on-load tap-changer is met. Data support and theoretical basis are provided for targeted maintenance, and manpower, material resources and time are prevented from being wasted.

The invention provides an optimizing method for the running mode of a power distribution network. The method comprises the following steps: S1) acquiring the related parameters for the optimizing of the running mode of a power distribution network; S2) according to the related parameters for the optimizing of the running mode of the power distribution network, constructing a mathematic model for optimizing the running mode of the power distribution network; and S3) seeking the mathematic model for optimizing the running mode of the power distribution network to obtain the optimization result of the running mode of the power distribution network. According to the invention, besides the optimization targets in the prior art such as economy and reliability, another two targets are added: the running risk and grid risk wherein the former reflects the running conditions of the lines and the transformers while the latter reflects the results incurred from a predicted accident. Compared with the traditional optimizing method, the optimizing method of the invention is more comprehensive and the optimization on the running mode is more scientific and reasonable.

Provided is a system and a method for optimizing structural noise uncertainty. The system comprises a system framework program and five sub-modules, namely, structural acoustic characteristic deterministic analysis module, structural acoustic characteristic uncertainty analysis module, structural noise certainty optimization module, structural noise uncertainty optimization module and post processing module. By the aid of the method, structural noise uncertainty optimization design is achieved on the basis of deterministic analysis and uncertainty analysis of structural acoustic characteristics. The method integrates an optimization model of solving an uncertainty problem and various algorithms in the system, and provides a convenient tool for non-professionals to conduct structural noise uncertainty analysis and optimization.

The invention discloses an asynchronous motor position tracking control method based on a finite time dynamic surface. Aiming at the problems of iron loss and input saturation in an asynchronous motor, the control method introduces a dynamic surface technology into the traditional backstepping method, and successfully overcomes the problem of 'calculation explosion' caused by continuous derivationin the traditional backstepping control; the method utilizes a fuzzy logic system to approach a nonlinear function in a motor driving system, and combines a dynamic surface technology with finite time to construct a controller; after the method is used for regulation, the output signal can track the expected signal within a limited time, and a simulation result shows that the method can accelerate the response speed, can improve the anti-interference capability, can reduce the tracking error and can achieve an ideal tracking effect.

The invention relates to an uncertainty-upper-bound-estimation-based discrete sliding-mode adaptive control method of an aircraft, thereby solving a technical problem of poor practicability of the existing discrete control method of the existing aircraft. Euler discretization is carried out on a longitudinal channel dynamic model of an aircraft to obtain a discrete form of an original system; withconsideration of the system causality, an equivalent prediction model of a discrete strict feedback system is established; uncertainty of the system is defined and an adaptation law with a dead zoneis designed to carry out online estimation on an unknown uncertainty upper bound; an upper bound estimation error is introduced into an uncertainty upper bound update law to improve the estimation precision; a sliding mode surface is defined, a current control input is designed by using a future expected output, and a discrete sliding-mode adaptive controller based on a backstepping method is designed. According to the invention, on the basis of characteristics of computer control, a non-causal problem is solved effectively by using a discrete sliding-mode controller based on model conversiondesign; the robustness and adaptability of the flight control system are improved; and the uncertainty-upper-bound-estimation-based discrete sliding-mode adaptive control method is suitable for the engineering application.

Disclosed is a dinuclear urea SCR system emission control method based on NMPC. The method mainly comprises the steps that a dinuclear eight-order urea SCR system model oriented to control is established; a urea SCR system NMPC optimization problem description method is put forward; and the operating steps of a dinuclear urea SCR system NMPC urea spray controller are put forward. According to the dinuclear urea SCR system emission control method based on NMPC, the dinuclear eight-order urea SCR system model oriented to control can accurately describe the dynamic characteristics of chemical reactions of the system, the complexity is suitable for designing the controller. The dinuclear urea SCR system NMPC optimization problem description method and the operating steps of the urea spray controller are simple in process and suitable for engineering application.

The invention discloses single-component alkali-activated fly ash cement which comprises, in weight percent, 70%-80% of fly ash, 12%-16% of solid sodium hydroxide, 3%-7% of solid magnesium oxide, 5%-7% of solid calcium oxide, and the sum of the weight percent is 100%. The single-component alkali-activated fly ash cement is simple in preparation process and low in cost, calcination is omitted in the preparation process of the cement, and the prepared cement is low in corrosion, high in stability and conveniently stored for a long time and has a wide market prospect.

The invention discloses one-component alkali-activated cement. The one-component alkali-activated cement comprises, by weight, 40-50% of fly ash, 2-4% of solid sodium hydroxide, 23-27% of mineral slag, 13-17% of albite, 6-8% of solid sodium silicate, 3-5% of solid calcium oxide and 1% of borax, and the sum of the weight percentage of the raw materials is 100%. The one-component alkali-activated cement has a simple preparation process and a low cost, calcining is not needed in the preparation process, and the obtained cement has low corrosivity, high stability and a broad market prospect and can be stored conveniently for a long term.

The invention belongs to the technical field of image recognition and geologic modeling, and particularly relates to a drilling image crack parameter automatic extraction method based on deep learning. The method comprises the steps of establishing a crack image data set, establishing a crack image recognition model, and using the marked crack image data set as a supervision condition; adopting a convolutional neural network to train a crack image recognition model, employing the trained crack image recognition model to detect a crack image to be detected, and converting the extracted related pixel information of the crack into inclination, inclination angle, position, opening and roughness parameters. According to the method, a deep learning technology is introduced into a drilling image data analysis process, and high-level semantic features of cracks are subjected to machine learning through the convolutional neural network, so that automatic extraction of crack information is realized.

The invention discloses an OLTC fault diagnosis method based on fuzzy clustering. The method comprises the steps of (1) attaching a vibration detection probe to the top end of a box wall of an on-loadtap changer, and collecting multiple groups of vibration signals generated in an action process by the on-load tap changer in each of a normal state, a contact loose state, a contact wear state and acontact burnout state; (2) denoising the vibration signals by using a wavelet packet threshold method; (3) extracting characteristic quantities for the denoised vibration signals; and (4) performingfault identification by the fuzzy clustering. According to the method, a working state of the on-load tap changer of a transformer can be monitored in real time, and the requirement for real-time fault diagnosis of the on-load tap changer of the transformer is met. A data support and a theoretical basis are provided for purposeful maintenance, so that the waste of manpower, material resources andtime is avoided.

The invention provides a method for order reduction of an impedance model into an RLC circuit at a resonant frequency. According to the method, RLC circuit fitting is performed after parallel resonance or series resonance at a resonant frequency is judged through the obtained impedance model of the new energy power generation system, resonance characteristics of the impedance model of the new energy power generation system are extracted, and order reduction is realized through RLC circuit fitting. The method comprises the steps of obtaining the impedance model of the new energy power generation system through frequency sweeping or theoretical derivation, judging whether parallel resonance or series resonance exists at a resonant frequency or not, and carrying out RLC circuit fitting. The method provided by the invention is simple to implement, resonance information contained in the model can be subjected to order reduction only by obtaining the impedance model of the system, and the impedance model is subjected to order reduction to form the RLC circuit, so that the method has obvious superiority.