410 results about "Product function" patented technology

Standard memory circuits are used for executing a sum-of-products function between data stored in the memory and data introduced into the memory. The sum-of-products function is executed in a manner substantially similar to a standard memory read operation. The memory circuits are standard or slightly modified SRAM and DRAM cells, or computing memory arrays (CAMs).

The present invention relates to a preparation method for a biological polybasic alcohol by using of an aleurites fordii. The preparation method is as follows: an alcohol-decomposing agent is added into the aleurites fordii to make the alcohol-decomposing reaction in the catalyzing environment to create a mixing ester of fatty acid; and then an epoxidizing agent is added into the mixing ester of fatty acid to make the epoxidizing reaction in the catalyzing environment to create a mixing epoxidizing ester of fatty acid; the mixing epoxidizing ester of fatty acid takes the opening reaction of epoxidizing key with an opening agent to create a mixing hydroxylic ester of fatty acid, i.e. a biological polybasic alcohol. The biological polybasic alcohol takes the addition reaction with an oxidation alkene in the catalyzing environment to create a biological polybasic alcohol with much higher molar weight. The preparation technics and operation of the present invention are more convenient; the adjustability for the product function is much better with much better performance. The aleurites fordii materials used in the present invention is a reproducible materials; so the cost is much lower and the material is abundant, which can replace the petrifaction polyether glycol to prepare the polyurethane foam plastic so that the dependence to the polyurethane product decreases.

Disclosed is a data-driving automatic testing system which comprises testing tools and testing instruments, devices to be tested, testing platform and function library connected with the testing platform. The function library includes a product function library, a testing tool function library and a testing instrument library; the testing platform includes a testing environment generating module, a test cases generating module, an operation engine, a testing logic generation module and a testing suite generating module. The invention also provides a data-driving automatic testing method. The invention is characterized in that the inventive system and method can be transmitted among platforms and tool platforms; testing environment and testing logic can be shared and overloaded. The invention has the advantages that the function library has high loading efficiency; has low maintain cost; employing testing suite to improve testing efficiency.

The invention discloses a fault diagnosis method based on local mean decomposition (LMD), singular value decomposition (SVD) and an extreme learning machine (ELM), and aims to increase the accuracy of bearing fault diagnosis under a variable condition. The method comprises the following steps: firstly, decomposing a nonlinear and unstable original vibration signal into a series of product functions (PFs) by adopting an efficient adaptive signal processing method LMD, wherein each PF component is a product of an envelope signal and a pure frequency modulated signal having physical meaning; secondly, processing the PF components by adopting the SVD to compress a feature vector scale and obtain a more stable feature vector value; lastly, classifying a bearing fault state by applying the ELM having higher application computation efficiency and higher classification accuracy based on an extracted feature vector. By adopting the fault diagnosis method based on LMD-SVD-ELM, a set of complete and valid variable-condition fault diagnosis scheme is provided for a bearing. The method has a very good practical engineering application value.

The invention relates to a high-reliability redundant four-shaft optical fiber gyroscope inertia measurement device, in particular to a long-life high-reliability redundant inertia measurement device for spacecraft navigation, guidance and control, and belongs to the technical field of inertia measurement. The device comprises a body structure with three orthogonal shafts and one oblique shaft, wherein four optical fiber gyroscopes, two signal processing and interface circuits and two secondary power circuits are arranged in the body. According to the device, the two signal processing and interface circuits are mutually redundant; the two secondary power circuits are mutually redundant; the reliability is high; when the device is used on a track and any one shaft or channel has a fault, the three-shaft attitude angular velocity still can be provided, the redundant configuration can be achieved, and normal product functions can be guaranteed.

The invention relates to a copolyester melt direct-spinning controllable multiple differential shrinkage composite fiber and a preparation method thereof. Terephthalic acid and ethylene glycol serve as raw materials, a third component of polyethylene glycol, a fourth component of diethylene glycol and a fifth component of pentaerythritol are added for copolymerization, a copolyester melt is prepared, pressurized through a melt pipeline and a pressurizing pump, conveyed to a spinning box, divided into two ways through two metering pumps, sent into a spinning assembly and a spinneret plate for extrusion and cooled and solidified to form two bundles of yarn, FDY (fully drawn yarn) is obtained after oiling wheel oiling, pre-interlacing, drawing and heat setting of one of the two bundles of yarn, the other bundle of yarn is oiled through an oil spraying nozzle and then led to two yarn guiding disks to obtain POY (polyester pre-oriented yarn), the FDY and the POY are input into a yarn doubling device and a main interlacing device simultaneously for composition, and the composite fiber is obtained after ultra-high-speed winding molding. The composite fiber adopts the better fine three-dimensional multi-layer structure and is large in potential controllable hot-shrinkage rate difference, good in fluffiness, hygroscopicity, air permeability, moisture retention, chromaticity and high color rendering uniformity, multiple in product function and high in additional value.

The invention relates to a turning technology database based on i5 intelligent CNC lathe and application thereof. The database comprises a machine tool database, a tool library, a work piece basic information base, a processing feature library, a loading library, a cooling library and a cutting parameter library. The database has the corresponding machine tool information, processing tool, work piece information, features, and definition of cutting parameters user interface and administrator maintenance interface, as well as entity association of the front operation and background maintenance. A data structure of the cutting database, a database function module, a data table, an entity relation, a processing efficiency, a machining precision and a surface quality, a cutting process state, and a generation cost data algorithm are established, and the construction database and the i5 CNC system integration are established. User-defined navigation operations based on part features gains a completed craftsmanship for parts while generating a recommended cutting data. The turning technology database based on i5 intelligent CNC lathe and application thereof has the advantage of enriching intelligent product functions, enhancing competitiveness of a machine tool product and facilitating efficient application of machine tool users.

The invention provides a diagnosis method for an initial failure of a gearbox of a wind generating set based on vibration monitoring. The method comprises the following steps: firstly, collecting an original vibrating acceleration signal of each monitoring point of the gearbox of the wind generating set; adopting an LMD (Local mean decomposition) method for decomposing the original vibrating acceleration signal into a plurality of PF (Product function) components with certain physical significances; selecting the PF components containing failure information, such as amplitude modulation and frequency modulation, for reconstructing a signal; performing Hilbert conversion on the reconstructed signal and further extracting fault characteristic quantity; lastly, judging the fault type and the fault degree by calculating a KL-divergence value between a to-be-tested sample and a standard sample.

The invention discloses a code detection method and device. The code detection method includes the steps that a code detection tool receives a code detection triggering command and identifies the command type of the triggering command; according to the specific command type, a general rule base and/or an extended rule base are/is called to carry out static scanning on to-be-detected codes; the codes matched with the general rule base and/or the extended rule base are obtained, and a detection report with warning information is generated; the generated detection report is pushed. The code detection range is expanded, code detection pertinence is improved, typical faults possibly existing in the codes are avoided, and meanwhile code running stability, maintainability and the consistency of the projected product functions corresponding to the codes are improved.

The invention discloses a three-station DITO full-automatic testing machine and a testing process thereof. The testing machine comprises a feeding part, a testing part and a discharging part. The testing machine disclosed by the invention comprises the following technical steps: product feeding, product taking and product detection, product photographing correction, product function testing, product transferring and defective product screening, product position correcting and discharging, and material tray discharging. According to the testing machine, a plurality of products are loaded in a centralized manner by adopting the material tray, and the loading part and the discharging part are connected to the front end and the back end of the tested part; the material trays of the feeding part and the discharging part are of a circulating flow type structure, meanwhile, the circulating type taking and placing of the products and the material trays are realized, and the material flowing volume is greatly improved through a laminating and conveying mode; and the test part adopts multi-test-station design, the time periods of testing and product taking and placing are effectively utilized, so that uninterrupted lead-out of the test products is realized, and the screen testing efficiency is greatly improved; and single-piece detection, defective product scanning by two-dimensional codes and the like are integrated to realize real-time screening of defective products.

The invention provides a lower limb motion mode identification method integrated with surface electromyography and acceleration signals. The method comprises steps that firstly, the surface electromyography and acceleration signals of a lower limb of a human body are acquired; the surface electromyography signal is decomposed through utilizing a local mean decomposition algorithm to acquire multiple product functions, according to the average Euclidean distance representing separation of different motions, the multi-scale permutation entropy of the first product function after decomposition through the local mean decomposition algorithm is determined, and the multi-scale permutation entropy of the first product function is extracted as surface EMG signal characteristics; importance of theentropy at different scales is calculated, the scale entropy is determined to form a 4-dimensional characteristic vector, and the 4-dimensional characteristic vector and a triaxial acceleration sequence entropy form a 7-dimensional characteristic vector; the 7-dimensional characteristic vector is inputted to a binary tree support vector machine improved according to the intra-class average Euclidean distance and inter-class sample distribution to carry out lower limb motion mode identification. The method is advantaged in that human body lower limb motion intention can be accurately identifiedin real time, and the identification result can be utilized for exoskeleton robot interaction control.

The invention relates to a blind aluminum alloy and a preparation method hereof; the materials comprise Al, Si, Fe, Cu, Mn, Mg, Zn, Ti and other impurities; the weight percents of the components are as follows that 0.1 percent to 0.6 percent of Si, 0.1 percent to 0.8 percent of Fe, 0.05 percent to 0.25 percent of Cu, 0.8 percent to 1.5 percent of Mn, 0.8 percent to 1.3 percent of Mg, no more than 0.25 percent of Zn, no more than 0.1 percent of Ti, the single weight content of other impurity is not more than 0.05 percent and the total weight content of other impurities is not more than 0.15 percent and the rest is aluminum. The blind aluminum alloy and the preparation method of the invention have the following advantages that the product function is stable and the index meets the standard requirements of the blind aluminum material; the tensile strength and extension rate are comparatively high and the board shape and the quality of the board surface are good; the processing is comparatively easy and the cost is low; moreover, the recovery rate of the scrap is high.

The invention relates to a rotor rub-impact fault feature extraction method based on complex local mean decomposition, and belongs to the technical field of mechanical vibration. According to the method, firstly vibration signals in mutual vertical directions of the same section are obtained, signals of the two channels form a complex signal, then through complex local mean decomposition, the complex signal is decomposed into a sum of a series of complex product functions, and a complex envelope signal is obtained according to the complex product functions; and the complex envelope signals are transformed by adopting complex Fourier transformation, and then real parts and imaginary parts of complex Fourier transformation results are fused to obtain a corresponding vector envelope spectrum, thereby effectively extracting fault features of a rotor. The rotor rub-impact fault feature extraction method based on complex local mean decomposition in the invention fuses vibration information of two channels, directly processes and analyzes two-dimensional signals of the two channels through complex local mean decomposition, and extracted fault feature information is clearer and more comprehensive, thereby providing a basis for rub-impact diagnosis of the rotor.

The invention relates to a controllable multiple-differential-shrinkage composition fiber made from a copolyester melt through ultra-fast direct spinning, and a preparation method of the composition fiber. The copolyester melt, which is made from five components including terephthalic acid, ethylene glycol, poly ethylene glycol, diethylene glycol and pentaerythritol, is pressurized by a booster pump and transported through a melt pipeline into a spinning box body, and is then divided by two measuring pumps into two branches, which enter a spinning component and a spinneret respectively and finally be extruded. After cooling and curing, two yarns are formed, wherein one yarn is subject to oiling by an oil wheel, pre-entwining, stretching and thermoforming to obtain an FDY yarn, and the other yarn is subject to oiling by an oil nozzle, and is guided to two spinning discs to obtain a POY yarn; the two yarns are simultaneously input into a doubling device and a main entwining device for combination, and are formed through the ultra-fast rolling, so as to obtain the composition fiber. The composition fiber has the characteristics of relatively good micro three-dimensional morphological structure, moisture absorption property, moisture preservation property, air permeability and antistatic property, easiness in dyeing, uniform dyeing, high coloration uniformity and the like; the composition fiber is high in processing speed, high in yield, low in consumption, low in manufacturing cost, high in value added, high in product functions, good in quality, and obvious in advantage of performance price ratio.

The invention discloses a vehicle camera with a rotatable lens. The vehicle camera with the rotatable lens is used for vehicle rear-view. The vehicle camera comprises: a shell, an installing support and video equipment. The video equipment is arranged in the shell. The shell is installed on the installing support. A stepping motor is arranged in the shell. The video equipment and the shell, driven by the stepping motor, are rotated on the installing support through a rotating shaft. A program, which can be used to control a pulse number and a pulse frequency of the stepping motor, is preset in a chip of a video equipment circuit. The stepping motor possesses three step angles. By using the invention, automatic protection can be realized; downwards monitoring during backing up and backwards monitoring during driving can also be realized. Safety and reliability of the product can be raised. Product functions are enriched. Practicality of the product is raised so as to satisfy demands of different clients.

The invention discloses a method for realizing the reliability allocation for a product with a balanced life. The method comprises steps that through the product function and structure analysis, the subfunctions and a subcomponent database of a product are built; based on the energy transfer, conversion and branching relation, a reliability block diagram of a multi-subcomponent series-parallel connection structure is built for each subfunction; the reliability block diagram is analyzed, two objective optimization models which has the maximum reliability of the subfunctions and the minimum reliability variance of a series subsystem are built, and a multi-objective optimization evolutionary algorithm is used for solving; and the reliability of the product subcomponents selects the reliability mean value of all the subfunction operation, the subcomponents with the similar reliabilities are clustered into a module, so the product reliability allocation and module planning scheme is obtained. By aiming at the problem that the whole reliability of the product is lowered due to unbalanced reliabilities of the subcomponents during the product design, a model is built on the basis of an energy reliability block diagram, a method for realizing component reliability balance and optimized product reliability allocation is proposed, so the whole reliability allocation scheme of the product is obtained.

A blade and holder combination for use with a microkeratome, and including means for improving mechanical stability when the blade is reciprocated during cutting, as well as a peripheral configuration minimizing local nonuniformities. Blades in accordance with the invention have a generally hemispherical posterior geometry that include an adjacent centralized ovoid coupling aperture and a small centrally disposed access slot that may include indicia for denoting blade type. The hemispherical geometry minimizes both local deformities and the processing needed to assure that the product functions to provide a clean, uniform surgical result.

The present invention discloses a novel black garlic-hawthorn beverage and a processing method thereof, and belongs to the field of food processing. The black garlic-hawthorn beverage comprises, 2-5 parts of black garlic, 26-30 parts of a hawthorn juice, 5-7 parts of honey, and 60-65 parts of purified water. The processing method comprises: (1) preparing black garlic, wherein garlic selecting and peeling, garlic clove crushing, temperature control vacuum fermentation, and dewatering drying are performed; (2) preparing a hawthorn juice; and (3) blending, homogenizing, sterilizing, and filling. According to the present invention, the method is simple, efficient, green and health, the influence of the processing process on the black garlic SOD activity is reduced, the product function activity is improved, and the product of the present invention has characteristics of sour, sweet and mild taste and rich nutrition, can meet the taste requirements of consumers, and further has good health effect.

The invention discloses a product function gene modeling system and method. The system comprises a behavior describing unit, a overall function determining unit and a overall function decomposing unit, wherein the behavior describing unit is used for describing the functional relation of parts among products; the overall function determining unit is used for analyzing functional requirements suggested by users, grasping the core of the overall design task to obtain the design requirements of the products and abstracting the overall function of the products; the overall function decomposing unit is used for decomposing the overall function into a plurality of simple subfunctions. The system also comprises a product function reasoning module which further comprises an FTML file reading unit, a function element matrix converting unit, a matrix adjusting unit and an FTML film converting unit. Aiming at function design knowledge and design object knowledge, the invention provides the function modeling method based on gene encoding and adopts an extensive makeup language (XML) and a matrix to represent and establish an evolving and reasoning method of the product parts on the basis of encoding.

A product development management system presents the product specification traceability of the work items of the product requirement specification defining, the product function item planning, the product software and hardware architecture designing during the life cycle of the product development, such that the user and manager can handle the development work completeness, work item allocation and dispersion index and fineness index to which the specification item of each level extends. Through the product development management system of the present disclosure, the work team can understand the relation of their responsible engineering works, and establish confirmation and data change notification mechanism, so as to achieve a cooperation result. Meanwhile, the product development management system of the present disclosure can manage the specification change process of each level, accurately notify the essential party, and freeze the baseline specifications and engineering data by stages or by release times.

The invention belongs to the product function testing field of motors and controllers of the motors, in particular to a mixed power motor and a controller testing bed of the motor, and a testing method thereof. The invention comprises a master control computer and a power supply, the testing bed is equipped with at least one pair of mixed power motors which are coaxially connected, controllers are electrically connected with the mixed power motors respectively via one-to-one correspondence, the master control computer is communicated with the controller group via cables and communication buses so as to enable the controllers and the mixed power motor to run under the set procedures, and further, the master control computer transmits control signals to realize transfer of testing orders and feedback of testing status, and simultaneously monitors the system condition during testing and collects the testing results. The invention not only reduces testing cost and fastens testing speed, but simplifies the testing bed structure.

The invention provides an engine product design method based on a behavioral stream ecosystem architecture. The engine product design method mainly comprises the following steps of: defining a behavior community which is composed of at least one behavior element on a basis of the behavioral stream ecosystem architecture, establishing a product behavior stream ecosystem model through mixing with a Petri network so as to realize information transfer between behavior communities, combining product behavior stream change with substance state information according to a design dynamic rule, mapping product functions and structures, and finally completing the specific structures of an engine product. According to the engine product design method provided by the invention, the problem existed in the traditional product model design is solved, so that the purposes of intelligent design and evolution are achieved.