55results about How to "Assessment reliability" patented technology

The invention discloses a fault simulation device for an automobile electric power-assisted steering system. The fault simulation device comprises a human-machine interface module, a fault signal generation module and a fault signal output module, wherein the human-machine interface module comprises a matrix keyboard and display equipment; the fault signal generation module comprises a singlechip with built-in fault signal simulation software; the fault signal output module comprises a torque fault signal output circuit, an automobile speed and engine rotating speed fault signal output circuit, a motor fault signal output circuit and a controller abnormal voltage output circuit; fault signals generated by the singlechip through the software are respectively amplified or opening and closing operation of a relay contact is finished, so that various faults possibly met by the automobile electric power-assisted steering system (EPS) can be simulated; and corresponding results are output to an EPS controller through an equipment under control (ECU) interface circuit. The fault simulation device can be used for simulating various faults possibly met by the EPS, developing a fault diagnosis procedure of the EPS controller and performing fault response test, so that the reliability and the safety of the EPS when the EPS meets the fault can be evaluated.

The invention relates to an active power distribution network reliability evaluation method during wind power generation access, belonging to the technical field of electric system reliability evaluation. The active power distribution network reliability evaluation method comprises the following steps of: establishing a wind speed probability density function complying with two-parameter Weibull distribution on the basis of historical wind speed data; carrying out bulk sampling on wind speeds by adopting Latin hypercube sampling; establishing a wind speed multi-scene model by adopting a backward scene reducing technology; and establishing a wind power multi-scene model by using the fitting relationship between the wind speeds and the power of an wind power station. In a power distribution network, an island is formed according to planning, and the island forming probability is calculated; and when power generation in the island cannot meet the load requirements, a load excision strategy is formulated according to the importance degree and capacity of the loads, and the probability of cutting each load point and the reliability indexes of the load points are calculated. The active power distribution network reliability evaluation method can be used for effectively and quantitatively evaluating the influence of fan access on the reliability of the power distribution network.

A grinding process assessment method based on reliability comprises the steps that 1, grinding process defect and failure analysis is carried out on device characteristics, workpiece characteristics and the machining process in the grinding process, grinding process FMEA is built, and typical defects are found; 2, according to the typical defects of the grinding process, computer finite element analysis is carried out, failure physics causing the typical defects is found, and failure physics analysis is further carried out on grinding process products; 3, grinding process parameters are designed, actual machining is carried out, and the product reliability is assessed through the grinding process parameters; 4, a reliability simulated test is carried out on the machined products, related mechanical properties are tested out, a degradation rate curve of key physical characterization Q is made, and a parameter degradation model of Q is obtained; 5, according to the above related process parameters, the key physical characterization Q and related mechanical property data, a reliability model is built, therefore, the grinding process is assessed based on the reliability, and bases are provided for process optimization design.

A method of detecting the reliability of a field of movement vectors of one image in a sequence of video images. The method includes a stage of calculating a stability parameter, Det_Stab(t), for the field. The parameter is based on a comparison (4), over two successive images, of the number of occurrences of the majority vectors of the movement-vectors fields of each of these images. A field is defined as stable if the variation in the number of occurrences lies within a predefined bracket. Reliability (7) is decided on the basis of this stability parameter.

The invention relates to a method for evaluating influences, on a reliability of composite generation and transmission system, of main wiring of a substation. The technical feature is that the method comprises the following steps of: 1, inputting parameters of the composite generation and transmission system and the substation and corresponding relationship data of the composite generation and transmission system and the substation; 2, setting a maximum sampling frequency to serve as judging basis of sampling end, so as to sample substation elements; 3, enumerating substation element fault states of third order and the below; 4, correcting fault probabilities onto reliability parameters of a generator or transmission line of the corresponding composite generation and transmission system; 5, carrying out network topology correction, connectivity judgement and state estimation on various fault states of the composite generation and transmission system; 6, judging whether a sample frequency is greater than the maximum sampling frequency or not; and 7, carrying out statistic on a reliability index of the composite generation and transmission system. According to the method provided by the invention, the influences, on the reliability of the composite generation and transmission system, of the main wiring of the substation can be rapidly and correctly estimated, and safe and reliable power supply is ensured.

The embodiment of the invention provides a method and device for determining a vehicle driving mileage and vehicle maintenance information, and a medium. The method for determining the vehicle drivingmileage comprises the following steps: obtaining a first driving mileage of a vehicle under a driving work condition; obtaining a second driving mileage of the vehicle under a power generation work condition; determining a third driving mileage based on the first driving mileage and the second driving mileage; and determining the vehicle driving mileage based on the first riving mileage, the second driving mileage and the third driving mileage. By adoption of the method provided by the embodiment of the invention, the technical problem of how to accurately determine the driving mileage is solved, accordingly, the operation state of the vehicle can be quickly and accurately determined, the components can be ensured to work within an available and safe range, a reasonable vehicle maintenance period can also be determined to improve the utilization rate and service capacity of the vehicle, and the reliability and aging degree of the vehicle can also be evaluated.

The invention discloses a distribution network automation scheme comprehensive evaluation system. The system comprises a correction unit, a distribution network splitting unit, a fault set generation unit, a screening unit, a reliability index calculation unit, and an economic index calculation unit. According to the comprehensive evaluation system, the evaluation method of a distribution network and the calculation method of the reliability index are corrected by employing an improved quantity of the power failure time, the reliability and the economy of an automation scheme of the distribution network can be effectively and comprehensively evaluated, different requirements of the reliability by different practical distribution networks are met, the universal applicability is achieved, and an important practical significance is attached to the improvement of the comprehensive management level of the distribution network.

The invention discloses a power distribution network secondary system reliability assessment method and device, equipment and a storage medium. The method comprises the steps of simulating operation time and fault repair time of equipment with shortest normal operation time in a primary system and a secondary system to be tested according to reliability parameters of all equipment of the primary system and the secondary system to be tested; determining work task completion data of each secondary device according to the operation time, the fault repair time and the corresponding relationship among the operation time, the fault repair time and the work task completion data of each secondary device; and determining a terminal online rate, a fault correct reflection rate and a terminal correctaction rate of the secondary system to be tested according to the work task completion data and a corresponding relationship between the work task completion data and a preset index, so as to evaluate the reliability of the secondary system to be tested. The reliability of the secondary system to be tested is evaluated, so that the reliability of the constructed secondary system is higher, and the later maintenance cost is reduced.

The invention discloses a planetary gear box bolt analysis method. The method comprises the steps of: establishing a gear box system model which comprises a shell model, a planet carrier model, a gearbox shafting model and a gear box external load; specifying a plurality of meshing states according to a gear operation process in a gear box shafting model; obtaining reaction forces of the plurality of designated nodes in the plurality of meshing states, wherein the reaction forces of the plurality of designated nodes obtained in each meshing state respectively form a group of reaction forces;establishing a gear box connection model; in a finite element analysis process, according to the connection module obtained according to the above, setting a connection mode in the finite element analysis model, and loading the multiple groups of reaction forces obtained in the previous step into the finite element analysis model as boundary conditions, performing calculating to obtain the stressof the connecting bolt and the connecting pin in the gear box system model in each meshing state, and calculating the safety coefficient and / or fatigue damage of the connecting bolt and the connectingpin. According to the invention, the reliability of the connecting bolt and the connecting pin in the gearbox can be effectively evaluated.

The invention provides a probability theory based airplane composite structure detection interval determination method. Conditions needed to be met include that a load has a 'K.LL' level, and loweringstructural strength to the 'K.LL' load level due to undetected accidental impact damages is impossible, wherein a formula for calculation of the conditions is that probability load (K*LL)*probabilityundetected damages (K*LL) is smaller than or equal to 10<-9> / fh. The method fills a gap of a domestic commercial airplane composite structure detection interval determination method, structural completeness in a whole service life is guaranteed, the structural accidental damage inspection interval determination method is researched comprehensively according to a probability analysis method on thepremise of guarantee of safety and reliability, and the scientific, complete and systematic detection interval determination method is formed finally.

The invention discloses a nondestructive testing and evaluation method for the strong laser damage characteristic of an optical element, and aims to solve the problem that the laser damage characteristic of the optical element cannot be evaluated through nondestructive testing in the prior art. The method comprises the following steps: obtaining nondestructive testing data of the optical element and laser parameters of damage under the action of strong laser through an experiment; taking the nondestructive testing data and the damage testing result as characteristic quantities, and obtaining a detection evaluation model of the laser damage characteristics of the optical element by using a deep learning method according to the nondestructive testing data, the laser parameters and the damage testing result; and carrying out nondestructive testing on the optical element to be detected, and taking obtained nondestructive testing data and laser parameters as input quantities of the detection evaluation model so as to obtain a laser damage characteristic detection result of the optical element and realize nondestructive testing and evaluation of strong laser damage characteristics.

The invention discloses a regional medical and beauty industry service quality evaluation method based on a big data platform, and the method comprises the steps: collecting the past evaluation information of each medical and beauty service institution in an administrative region, and setting an initial evaluation value of each medical and beauty service institution according to the past evaluation information; acquiring administrative record information of each medical and beauty service institution, and setting a corresponding confidence factor according to the administrative record information; acquiring medical quality related data of each medical beauty service institution and preprocessing the medical quality related data to form a corresponding diagnosis and treatment quality evaluation coefficient; setting an evaluation value correction model according to the confidence factor and the diagnosis and treatment quality evaluation coefficient; and obtaining an evaluation value of each medical and beauty service institution according to the evaluation value correction model and the initial evaluation value. By utilizing the method provided by the invention, multi-dimensional objective evaluation can be carried out on the service quality of the medical and beauty institutions in an administrative region based on a big data platform, so that intuitive and accurate guidance canbe provided for consumers, and the consumers can obtain high-quality and reliable services.

A method for determining impact energy cutoff value of aircraft composite structures based on probability and statistics theory. This method fills in the blank of determining the cutoff value of composite material structure of commercial aircraft and the history of copying Airbus Boeing experience directly. In order to ensure the integrity of the structure in the whole service life, on the premiseof ensuring its safety and reliability, the method uses the probability statistics theory, the actual damage data of aircraft composite structure during assembly, operation and maintenance are studied comprehensively, and finally a scientific, complete and systematic determination method of energy cutoff value is formed.

The invention discloses a simulation detector of a power grid, aiming at providing a simulation detector of a power grid which can completely detect the wiring conditions of a voltage / current transformer, the wiring conditions of a relay protection system, the measurement errors of an electric power measurement system, the accuracy of the voltage / current transformer, and the electric power parameters of each measuring point under the condition of simulating synchronization. The invention comprises the simulation detector (2) for performing simulation detection on the electric power measurement system and / or the relay protection system (1), wherein the simulation detector (2) comprises a simulation power supply (21), a field measuring instrument (22) and a control device (23); the simulation power supply (21) is connected to a voltage current input end in the electric power measurement system and / or the relay protection system (1); and the field measuring instrument (22) is respectively connected with the measuring port of the control device (23) and the measuring port of the electric power measurement system and / or the relay protection system (1).

The invention relates to a device for realizing the scour corrosion test of the impeller of a sea water pump. The device is composed of an impeller installation module, a corrosion environment simulation module, a scour condition simulation module and an acceleration module; an impeller under test is arranged in the water tank of the corrosion environment simulation module; the water tank of the corrosion environment simulation module is filled with artificial seawater; the impeller under test is installed on the installation shaft of the impeller installation module and is connected with a variable-frequency motor and a variable-frequency driver through the installation shaft; a scour nozzle of the corrosion environment simulation module, which is corresponding to the impeller under test,is arranged in the water tank; and the scour nozzle is connected with the output opening of a circulating water pump through the flowmeter, shrinking pipe section, rectifying device, sand injection device and regulating valve of the scour condition simulation module; the input opening of the circulating water pump is connected with the bottom water outlet of the water tank through a pipeline anda filtering device; and the circulating water pump is connected with a circulating water pump variable-frequency motor and a variable-frequency driver. With the device of the invention adopted, the real working environment of the impeller of the sea water pump can be simulated, the scour corrosion tests of impellers of various types and specifications can be carried out, and the reliability of theimpellers can be evaluated.

The invention discloses a fault simulation device for an automobile electric power-assisted steering system. The fault simulation device comprises a human-machine interface module, a fault signal generation module and a fault signal output module, wherein the human-machine interface module comprises a matrix keyboard and display equipment; the fault signal generation module comprises a singlechip with built-in fault signal simulation software; the fault signal output module comprises a torque fault signal output circuit, an automobile speed and engine rotating speed fault signal output circuit, a motor fault signal output circuit and a controller abnormal voltage output circuit; fault signals generated by the singlechip through the software are respectively amplified or opening and closing operation of a relay contact is finished, so that various faults possibly met by the automobile electric power-assisted steering system (EPS) can be simulated; and corresponding results are output to an EPS controller through an equipment under control (EUC) interface circuit. The fault simulation device can be used for simulating various faults possibly met by the EPS, developing a fault diagnosis procedure of the EPS controller and performing fault response test, so that the reliability and the safety of the EPS when the EPS meets the fault can be evaluated.

The invention relates to an active power distribution network reliability evaluation method during wind power generation access, belonging to the technical field of electric system reliability evaluation. The active power distribution network reliability evaluation method comprises the following steps of: establishing a wind speed probability density function complying with two-parameter Weibull distribution on the basis of historical wind speed data; carrying out bulk sampling on wind speeds by adopting Latin hypercube sampling; establishing a wind speed multi-scene model by adopting a backward scene reducing technology; and establishing a wind power multi-scene model by using the fitting relationship between the wind speeds and the power of an wind power station. In a power distribution network, an island is formed according to planning, and the island forming probability is calculated; and when power generation in the island cannot meet the load requirements, a load excision strategy is formulated according to the importance degree and capacity of the loads, and the probability of cutting each load point and the reliability indexes of the load points are calculated. The active power distribution network reliability evaluation method can be used for effectively and quantitatively evaluating the influence of fan access on the reliability of the power distribution network.

The invention provides a simulation calculation method and system for inverter switching element loss. The method comprises the steps of respectively establishing a motor control algorithm model, a switching element and inverter model and a motor finite element mode, integrating the motor control algorithm model, the switching element and inverter model and the motor finite element model to establish a joint simulation model of motor control, and performing joint simulation, and collecting related data to calculate the loss of the switching element. The accuracy and reliability of the joint simulation model can be improved, and the loss of the inverter switching element can be calculated.

The invention relates to a method for evaluating the service life and reliability of a product based on zero-failure data. The method comprises the following steps of: firstly collecting the time of zero-failure life of a product to obtain zero-failure data; carrying out equiprobable replaceable resampling processing on the zero-failure data of an individual product so as to generate a corresponding collateral constellation; forecasting the overall zero-failure data of the product according to the collateral constellation, and further acquiring the distribution function of the overall zero-failure data of the product; constructing the overall failure probability function of the product according to the number of the zero-failure data of the individual product and the distribution function of the overall zero-failure data of the product; and acquiring the overall reliability function of the product according to the overall failure probability function of the product to finally realize the evaluation on the service life and reliability of the product on the basis of the zero-failure data. According to the invention, only based on a little amount of zero-failure data, the overall failure probability function of the product can be recognized effectively, the life and the reliability of the product can be evaluated, the reliability of the product can be evaluated and forecast timely, the failure hazard can be found out, and the malignant accidents can be prevented.

The invention discloses a reliability assessment method of a large-scale grid-connected photovoltaic power station. The method comprises a photovoltaic power station state division step, an assessment data extraction step and a reliability index calculation step. Reliability indexes comprise an expectation of output power (EOP) at a time t, a variance of output power (VOP) at the time t, a variation coefficient [beta] of output power at the time t, a probability of an output power shortage (POPS), a frequency of the output power shortage (FOPS), an expectation of the output power shortage (EOPS) and duration of the output power shortage (DOPS). If reliability of an existing photovoltaic power station is assessed, calculation data is extracted from real-time operation data. If reliability of a photovoltaic power station constructed in a plan is assessed, calculation data is extracted from photovoltaic power station operation state simulation data. The reliability of the photovoltaic power station is assessed from the point of view of the photovoltaic power station reliability, and the method plays an important guiding role in making of a reliability assessment and maintenance plan of the existing photovoltaic power station and design and construction of the future photovoltaic power station.

Embodiments herein relate to a vehicle yaw stability control method as well as a vehicle yaw stability control apparatus (1). The yaw rate È of the vehicle is measured. A first reference yaw rate È ref is set. A difference yaw rate ” È is set. Stabilizing braking intervention is triggered when a value of the difference yaw rate ” È exceeds limits defined by difference yaw rate threshold values ” È min , ” È max . Information regarding the shape of the road ahead of the vehicle is acquired. The reliability of the driver steering input ´ is evaluated upon stabilizing braking intervention being triggered. In case the driver steering input ´ is deemed unreliable a replacement reference yaw rate È Ù ref road is set based on the acquired road shape and a replacement difference yaw rate ” È road is set whereupon stabilizing braking intervention is performed based on the replacement difference yaw rate ” È road .

The invention discloses a secondary failure-oriented network reliability evaluation method. The method comprises the following steps of: mapping equipment topology, data flow source nodes and the likeof a network into a topological graph and flow distribution of the network; taking the clustering coefficient as an index for judging node importance in the network, and determining a network area radius, an area with the maximum clustering coefficient in the network and a secondary failure frequency according to a network evaluation demand; obtaining a residual normal node set in the area with the maximum clustering coefficient in the network, randomly selecting a failure source point from the set, and calculating a network successive failure caused by removing any normal node in the networkaccording to a flow association successive failure rule until the network reaches a steady state; executing the step for many times according to the secondary failure times of the network; and calculating the failure node proportion, the maximum connected subgraph proportion, the network efficiency and the capacity parameter threshold of the residual network as indexes for evaluating the secondary failure-oriented reliability of the network so as to meet the requirement for evaluating the secondary failure-oriented reliability of the network.

The invention discloses a demonstration-based photovoltaic power station testing diagnosis and forecasting database establishment method. In the method, deep mining and probability reliability assessment are performed on the statistical data of different components and balancing parts in a demonstration system based on long-term running performance testing data by using a reliability analysis principle to form reliability and economy-coordinated comprehensive evaluation mechanism and establish a photovoltaic power station field fault diagnosis and maintenance forecasting database. The method has the advantage of comprehensively evaluating the reliability, running performance and cost of photovoltaic components, the parts and the system.

The invention discloses an address retrieval method and device, and relates to the technical field of computers. A specific embodiment of the method comprises the following steps: according to a query address, retrieving to obtain an address set corresponding to the query address; analyzing the addresses in the address set, where analysis comprises text similarity analysis and further comprises at least one of spatial similarity analysis and semantic comprehension analysis; and according to an analysis result of the addresses in the address set, selecting an address serving as an optimal retrieval result from the address set, and outputting the selected address. According to the embodiment, the influence of factors such as the spatial relationship between the addresses and possible incoherence of address levels can be considered, the retrieval result is analyzed by integrating the aspects of space, text and semantic understanding, the reliability of the retrieved addresses is evaluated more comprehensively, interference of special information in the addresses is avoided, and the address with higher credibility can be obtained from the retrieval result, so that the accuracy of address retrieval is improved.

The invention discloses a method for analyzing the energy level of displacement damage defects by using frequency noise. When high-energy nuclear radiation interacts with semiconductor materials, some atoms will be transferred from their original positions to semiconductor crystal lattices. This radiation-induced formation of displacement damage in the crystal can lead to changes in device performance. The 1 / f noise in the device is closely related to the distribution of defects and the change in energy level. Using a suitable noise model, a large amount of information related to the reliability of the device, such as the concentration, spatial position and energy distribution of the electroactive traps, can be extracted to obtain Data related to displacement damage defect levels.

The invention relates to a method for evaluating reliability of a shot blasting part with an X-ray diffraction technology. The method comprises steps as follows: firstly, changing rules of residual stress relaxation and diffraction FWHM (full width at half maximum) of a part material after shot blasting under actions of different loads are acquired with an X-ray diffraction method, and a safe area and a non-safe area of the material during use are determined according to the rules; secondly, a key point of the shot blasting part is subjected to residual stress testing after used for different time periods, and changing rules of residual stress and diffraction full width at half maximum of the key point of the part are acquired. On the basis, whether actually measured residual stress / diffraction FWHM changing rules of the part are in the safe area is analyzed and compared, so that the reliability of the part is determined. The method is a non-destructive testing and analysis method, and can irregularly detect the part to determine whether the part is safe and reliable. One convenient and efficient method is provided for evaluation of the reliability of the part.

The invention provides a flexible ball spacecraft inflation unfolding structure evaluation method, which can evaluate the rationality and reliability of the inflatable unfolding structure of the flexible ball spacecraft. The method relates to flexible ball spacecraft test conditions, installation bearing modes and flexible ball inflation unfolding process monitoring, the inflation unfolding function of the flexible ball spacecraft can be verified, and then the inflation unfolding structure of the flexible ball spacecraft is evaluated.

The invention relates to a TSV multi-stress reliability test chip structure and device based on lead bonding. The chip structure comprises a silicon substrate, a top electrode, and abottom electrode, wherein a plurality of TSV structures penetrating through the upper surface and the lower surface of the silicon substrate are arranged on the silicon substrate in an array manner; the top electrode is located on the upper surface of the silicon substrate and used for being connected with the top of the TSV structure; the bottom electrode is located on the lower surface of the silicon substrate and used for being connected with the bottom of the TSV structure; and the top electrode and the bottom electrode on the silicon substrate are selectively connected with the end parts of the TSV structures respectively to form a daisy chain interconnection structure or a Kelvin chain interconnection structure. The test device comprises a fixed supporting plate, a test circuit board, a multi-stress loading device, a signal acquisition device and the like. According to the scheme, multi-stress loading can be conveniently and comprehensively carried out on an actual single TSV or multiple TSV link structures, and the reliability of the TSV structure can be scientifically, comprehensively and accurately evaluated through a test means.

The invention discloses a secure spectrum sensing algorithm based on a blockchain technology, and the algorithm comprises the following steps: a node requests to access a certain frequency band, and senses whether the frequency band is idle; a blockchain management center records and stores spectrum sensing historical data of the nodes; a fusion center obtains historical data of the nodes participating in cooperative sensing from the blockchain management center; the fusion center sends a recommendation request to the blockchain management center; the blockchain management center recommends nodes with high comprehensive trust values to the fusion center; the fusion center makes a node selection decision according to the recommendation of the blockchain management center; and the fusion center selects nodes which participate in spectrum sensing for many times and have high trust values to participate in cooperative spectrum sensing. According to the secure spectrum sensing algorithm based on the blockchain, the change of the environment can be reflected, the reliability of the sensing node is evaluated in real time, and the trust value of the node is obtained through the evaluation algorithm; the algorithm of the invention can give consideration to both energy efficiency and sensing precision, and prolongs the service life of the cognitive radio network.

A single-layer latticed shell steel structure roof system of a concrete building relates to the field of buildings and comprises a single-layer latticed shell steel structure, a vibrating wire strain sensor and a monitoring center. The vibrating wire type strain sensor is installed on the single-layer latticed shell steel structure and electrically connected with the monitoring center, and the monitoring center is used for monitoring detection signals of the vibrating wire type strain sensor. According to the method, the overall health degree of the single-layer latticed shell steel structure can be conveniently evaluated, the safety of the single-layer latticed shell steel structure can be more comprehensively evaluated, the detection process is simple and convenient, the cost is low, and the practical application value is higher.