34 results about "Failure index" patented technology

A method for self-adapting diagnosing the failure of electric network based on the correction analysis of element is characterized in that each power-off element in the power-off area is defined with a failure index function which represents the supporting degree of the output quantity facing to other power-off elements to the failure of the element. The failure element and failure type are recognized according to the value of the failure index function. The method according to the invention can correctly recognize the multiple failure of a large-scale electric power system according to the common actions of switches and protections. A stronger fault-tolerant property is provided. The execution speed is fast in order to stabilize the system real-time. The multiple malfunctions in a same tipping area can be executed with diagnosis. The method according to the invention is suitable for the failure discriminating of the control system of the large-scale electric power system.

A method for simulating the behavior of a bonded joint of two composite material parts with an adhesive material layer. The method includes the steps of a) providing a Finite Element Model with all the relevant information for analyzing the structural joint; b) providing a calculation model for calculating the deformations of the adhesive material layer when it is subjected to tensile / peel and shear stresses, including a plastic behavior of the adhesive of a linear type under tension / peeling and of a non-linear type under shearing; and c) simulating the behavior of the bonded joint by applying the calculation model to obtain the failure indices of each failure mode. A system which is useful as an aid in the design of the structural joint using a computer-implemented Finite Element Model of the structural joint.

The invention provides an experimental method and analysis of the insulation life of the polymer material of the power supply cable, including: weighing the cable to be tested; determining the failure index of the cable, and the failure index is: 10% of the weight loss of the cable is failure; In the instrument, measure the absolute temperature when the cable under test fails at different heating rates; according to the pyrolysis kinetics reaction rate equation and the Amhenius equation, establish the corresponding functional relationship between the service life t of the cable under the service temperature and the service temperature T , that is, the service life t of the cable under the condition of service temperature T; the cable is a polymer insulating material. Using the experimental method of the invention can realize the life experiment, and by establishing and analyzing the corresponding function relation between t and T, the service life of the cable under the service temperature condition can be obtained. This is crucial to correctly assessing and predicting the aging and life of the line, avoiding circuit fires, and ensuring the safety of life and property of the country and people.

The present invention performs machine learning wherein: the period between a reference time point, which corresponds to a failure prediction time point, and an earlier time point, which is a predetermined first length of time earlier than the reference time point, is set as a warning sign detection period; if no failure occurred during the period between the reference time point and a later timepoint, which is a predetermined second length of time later than the reference time point, then that period is set as a prediction period, and otherwise if a failure occurred during the period betweenthe reference time point and the later time point, then the period between the reference time point and the time point at which the failure occurred is set as the prediction period; the reference time point is then sequentially shifted; a feature quantity based on operation log information obtained during the warning sign detection period is set as an explanatory variable; and a failure index value is set as a response variable, the failure index value being based on whether or not occurrence of a specific event is indicated by operation log information associated with failure occurrence indicated by failure record information obtained during the prediction period, and also based on the length of time between the reference time point and the time point at which the failure occurred.

The invention discloses a green n cognition wireless system resource distribution method of an OFDM signal. The method is that the variational principle is utilized to perform the optimal analysis for the ratio of the transmission power to the transmission rate, so that the EPG failure index can be reduced; the pilot frequency density and the distributed energy can be optimally balanced, so as to effectively distribute the system resource by an energy saving manner.

The invention discloses a device-based vibration signal alarm identification method and a computing device. The method is suitable for being executed in the computing device. The method includes the following steps that: the vibration signals of a device at a current time point are collected, and a root mean square index amplitude corresponding to the vibration signals is calculated; whether the root mean square index amplitude exceeds a preset first real-time threshold is judged; if the root mean square index amplitude exceeds the preset first real-time threshold, a rotation speed, a gear failure index, a bearing failure index and a power frequency failure index corresponding to the vibration signals are obtained; whether the rotation speed, the gear failure index, the bearing failure index and the power frequency failure index all meet their respective invalid alarm states is judged; if the rotation speed, the gear failure index, the bearing failure index and the power frequency failure index all meet their respective invalid alarm states, it is determined that the state of the device is normal, and no alarm signals are issued, otherwise, it is determined that the state of the device is abnormal, and alarm signals are issued.

The invention relates to a composite material Pi-shaped gluing connection structure tensile strength prediction method based on an average invalidation index. The method includes the following steps: (1) a Pi connector geometrical model is built according to geometrical parameters of a composite material Pi-shaped gluing connection structure; (2) determining tensile load and boundary condition of the composite material Pi-shaped connector geometrical model according to the stress condition of the integrated composite material structure; (3) acquiring an accurate Pi connector three-dimensional finite element model through grid encryption based on the Pi connector geometrical model, meanwhile ensuring that grids on key connection faces L, U and B are even and calculating stress distribution of the three-dimensional finite element model under tensile load; (4) extracting positive axis stress component value of nodes on the Pi connector key connection faces L, U and B and calculating the invalidation index Rij on the key connection face; (5) respectively calculating the average invalidation indexes based on the key connection faces L, U and B of the Pi connector; (6) conducting calculation according to the tensile load P0 and the maximum value of the average invalidation indexes to obtain the invalidation strength value P of the obtained connector. The method is applicable to engineering application, can remarkably shorten the developing period of the Pi connector and reduces test cost.

The invention discloses a method for optimizing the motion flexibility and reliability of an engine composite tail nozzle, comprising steps: the first step, analyzing important parameters affecting the motion flexibility and reliability of the tail nozzle, and determining the optimization object; the second step 1. Confirm the numerical range of each optimization object parameter, and carry out follow-up optimization for this range; the third step is to formulate the engine exhaust nozzle motion performance evaluation index and stress damage failure index; the fourth step is to establish the impact of composite material exhaust nozzle Dynamics simulation, optimize the simulation calculation of each parameter; the fifth step, by analyzing the influence trend of each parameter on the movement flexibility and reliability of the tail nozzle, put forward the composite material tail nozzle pin hole matching unilateral clearance, surface friction Suggested indicators for parameter selection for coefficients and driving air pressure. The invention solves the problems of low movement flexibility and easy failure of the tail nozzle, and realizes the improvement from sensory experience to theoretical method, from qualitative exploration to quantitative optimization.

The invention discloses a method for evaluating the service operation quality of a power communication network. The method mainly includes: constructing a communication network model; calculating the probability of occurrence of different failure scenarios according to the Markov state transition theory; determining the factors to be considered according to the set confidence interval The number of failure scenarios; calculate the average service failure index and average service impact index under different failure scenarios according to the failure scenarios considered, and combine the failure probabilities of different scenarios to obtain the comprehensive service failure index and comprehensive service impact index of the entire network; by comparing different networks or Under different service distributions on the same network, the magnitude of the network-wide comprehensive service failure index and the network-wide comprehensive service impact index determines the quality of network service operation. The method of the invention can objectively reflect the business risk status of the power communication network, and involves low calculation complexity of the algorithm.

The invention provides a fault diagnosis method and system combining multi-point statistics and health trend prediction, and the method comprises the steps: determining a fault detection method according to the fault features of a to-be-detected device; according to the fault detection method, determining a time delay post-judgment interval length; initializing the preset parameters; acquiring sensor output data of the to-be-detected device, wherein the sensor output data comprises measurement data of the to-be-detected device at a target moment; determining a corresponding device health change trend prediction method according to the self characteristics of the to-be-detected device and the measurement data, and predicting a health change trend according to the device health change trend prediction method to obtain a failure index sigma of the to-be-detected unit; performing single-point fault detection on the to-be-detected unit at the current moment; updating the preset parameters, and judging whether the later judgment interval is ended or not; and if so, analyzing and diagnosing the fault of the to-be-detected device to obtain a fault diagnosis result. Therefore, the accuracy of fault diagnosis can be improved.

Methods and device for analyzing failure metrics of a wafer and computer-readable media are described herein. The method for analyzing the failure index of the wafer described herein comprises the following steps: for a plurality of batches of wafers, respectively determining a fitting relationship between wafer randomization identifiers of a plurality of processes of a manufacturing process and the failure index representing a failure degree; determining a corresponding similarity value for each of the plurality of steps based on a comparison between a fitting relationship corresponding to awafer of a reference batch among the plurality of batches and a fitting relationship corresponding to a wafer of another batch among the plurality of batches; and determining a correlation between thewafer randomization identifier of at least one of the plurality of processes and a failure problem corresponding to the failure indicator based on the similarity values respectively corresponding tothe plurality of processes.

The present invention discloses a method for adjusting a contention access resource, and a method and device for sending a contention access request, and the specific contents are: according to failure time for continuous contention access failures of the terminal, determining a failure index value representing a current contention access condition, and according to the determined failure index value, dynamically adjusting the contention access resource allocated to the terminal, wherein the method may allocate reasonable contention access resource to the terminal according to feedbacks of the terminal, which effectively improves the usage rate of the contention access resource.

A method for self-adapting diagnosing the failure of electric network based on the correction analysis of element is characterized in that each power-off element in the power-off area is defined with a failure index function which represents the supporting degree of the output quantity facing to other power-off elements to the failure of the element. The failure element and failure type are recognized according to the value of the failure index function. The method according to the invention can correctly recognize the multiple failure of a large-scale electric power system according to the common actions of switches and protections. A stronger fault-tolerant property is provided. The execution speed is fast in order to stabilize the system real-time. The multiple malfunctions in a same tipping area can be executed with diagnosis. The method according to the invention is suitable for the failure discriminating of the control system of the large-scale electric power system.

The invention discloses a method for making a de-icing policy of a tower line system through orthogonal analysis. The method comprises the steps of 1, building a three-dimensional finite element model of the tower line system; 2, determining a multi-factor two-level orthogonal table, compiling a multi-factor two-level orthogonal test scheme, and defining mechanics failure indexes of towers; 3, according to the multi-factor two-level orthogonal test scheme, applying designed wind load and ice load to a hanging position of each wire insulator and a hanging position of each ground wire respectively by adopting a finite element method, simulating stress conditions of each tower under different loads, and obtaining a maximum axial stress ratio and a dangerous unit number of an angle steel unit of each tower; and 4, for each index, calculating an index average value of each factor and each level, and obtaining a most serious icing condition according to the index average value, thereby obtaining an optimal de-icing sequence. According to the method, the most serious icing condition can be assessed under the condition of giving parameters of icing, a wind speed, a span and the like, and the optimal de-icing sequence of the tower line system is given.

The invention provides a method for predicting the residual life of a centrifugal pump. According to the method for predicting the residual life of the centrifugal pump, the characteristic curve of the centrifugal pump is used as the burn-out life evaluation index of the centrifugal pump, the characteristic curve of the centrifugal pump in the operating process is drawn by arranging corresponding sensors on centrifugal pump residual life prediction monitoring points, and the residual life of the centrifugal pump is predicted based on an ARMA time sequence according to the change tendency of the characteristic curve. Since the characteristic curve of the centrifugal pump is used as the life evaluation index, the method is suitable for centrifugal pumps which operate under different working conditions; and corresponding failure indexes are established according to different use requirements, so that the residual life of the centrifugal pump is effectively predicted, and the utilization efficiency of the centrifugal pump is increased to the maximum extent.

Embodiments of the present invention relate to a communication support device and a communication support method. A communication support device according to an embodiment includes an event detection unit, a word extraction unit, and a word selection unit. The event detection unit analyzes sentences converted from voices of utterances of conference participants, and detects an event indicating failure of information delivery by conversation. The word extraction unit extracts words from sentences in which events are detected by the event detection unit. The word selection unit selects a word that causes information delivery failure among words extracted by the word extraction unit (15) based on a delivery failure index calculated from an event detected in a sentence including the word.