463 results about "Single fault" patented technology

An electronic module is provided. The module includes a first logic device having at least two processors and a first comparator and a second logic device having at least one processor and a second comparator. Each of the at least two processors are coupled to each of the first and second comparators. The first and second comparators operate as a distributed comparator system. Each comparator independently identifies faults in the processors.

The invention discloses a power distribution network broken line fault location method. According to a structure of a power distribution network and a power supply mode, a local power distribution network line section is divided into a plurality of kinds of typical sections, and characteristics of voltage and load flow of each of endpoints of the typical sections in different broken line faults are proposed. During application, the characteristics of each local line section of the power distribution network are matched with the typical sections, types of the typical sections which the each local line section belongs to are determined, the measured characteristics of the voltage and the load flow of each of the endpoints in the each local line section are matched with the characteristics of the voltage and the load flow of each of the endpoints of the typical sections in the different broken line faults to judge whether the line section has the broken line fault and to judge types of the broken line faults, and the typical sections correspond to the line section. According to the power distribution network broken line fault location method, a modeling rule is used for customizing the method, and the comprehensiveness and the reliability for problem processing are achieved; the customization of the rule is flexible and prone to adapt to a plurality of operating modes of the power distribution network; the location is accurate, and the fault location of sections can be achieved; and human line patrolling is avoided, and the power distribution network broken line fault location method is an ideal method.

The invention discloses an information center network mobility management method based on content popularity and belongs to the technical field of next-generation internet technology research. The method includes the steps that, a requester side moves, specifically, the content requester sends an Interest package request, a router in a network receives the Interest message, the local cache is searched first, the Interest message is directly returned to the requester if the content exists in the local cache, and otherwise a PIT table is searched; a proxy node compares the popularity of the content with a popularity threshold value K; a content source moves to a new position and sends a 'handoff completion' message to the proxy node, wherein it is indicated that handoff is completed if an M marking position is '2', and a K marking position is 'NULL'. According to the method, the mobility of mobile nodes in the content center network is achieved, and the mobility management method based on the proxy node and the web cache avoids communication outage caused by single-fault nodes and link failure; once the proxy node fails and can not serve any more, the network can automatically carry out handoff in a web cache mode, and therefore it is guaranteed that communications are conducted normally.

Distributed and replicated sessions are implemented in a grid architecture. A session including conversational state is stored at a server in the grid. An incoming request is directed to a server via a load balancing mechanism. When a server receives an incoming request, it either a) retrieves the session from the server that currently holds the state, or b) forwards the request to the server that currently holds the session. Each server maintains the session for the requests that it has serviced until relieved of this responsibility by another server. A server holding a session is relieved of responsibility for the state when another server retrieves the session. In one aspect of the invention, each session is replicated among a number of servers, so as to provide additional redundancy and thereby avoid having any single server as a single point of failure for the session which it maintains.

The invention relates to a method for programming a transmission network based on a determinacy two-layer programming mode. The programming mode takes a transmission network investment cost as an economy target, and takes load shedding sum of a regular operation and a single fault operation of the system as a reliability target. An underlayer target is the reliability target; an underlayer restriction is an operation restriction of the regular operation and the single fault condition of the system; an upperlayer gives priority to the economy target; the underlayer reliability target is added to the upperlayer target in a way of penalty function, and the upperlayer restriction is an awaiting frame line number restriction. An improved arithmetic mixed with a niche genetic algorithm with a primal-dual interior method together is adopted to calculate the mode; the niche genetic algorithm is used for processing a integer variable of the upperlayer programming and has a global optimization; the primal-dual interior method is adopted to have a quick calculation to improve the arithmetic speed and a convergence. The invention is able to add the reliability issue to the economy programming in a restriction way and realize an economy optimization of the programming proposal under a high reliability condition.

A method and system for fault isolation within a network element in an optical network is described. A single fault in the system can give rise to multiple alarms detected at multiple points. Finding the root cause alarm corresponding to the fault that has triggered these alarms is important for fault isolation and is the focus of attention for this invention. The network element is modeled by a directed acyclic graph that captures the interactions among various components in the network element. Using a graph-based technique the invention analyzes the various topological faults raised and their locations for identifying root cause alarms and masking all correlated alarms.

The invention provides a distribution network fault tolerance on-line fault location method based on a prediction correction technology. The method comprises the steps that the independent region topology connection and the power flow transmission relation of a distribution network are used to establish a distribution network priority structure identification matrix; based on an independent region over-current information vector set and the distribution network priority structure identification matrix, a fault independent region decision matrix is constructed; fault independent region fault identification coefficients are determined, and a failed independent region is identified; the independent region is used as a basic dividing limit to establish a switch function model described by an algebra relation; prediction and correction models of fault region identification of the distribution network are constructed; and a prediction correction algorithm is used to identify a single feeder fault or a complicated multi-fault section of the distribution network. The method provided by the invention has the advantages of high information distortion fault tolerance ability, high versatility, high reliability, global convergence, convenient realization and high fault identification efficiency, and can effectively identify any complex multi-short circuit fault section of the distribution network.

The invention relates to a method for intelligently diagnosing an electric energy meter. The method includes the following steps: 1. acquiring data of an electric energy meter and event data through field detection and an electric energy information acquiring system; 2. analyzing single faults the data of the electric energy meter and the event data which are acquired from 1, single faults analysis including 6 types of intelligent diagnosis analysis models of which each includes a plurality of intelligent diagnosis themes; 3. analyzing fault association of the association relations among different intelligent diagnosis themes and establishing an association model so as to obtain the result of further intelligent diagnosis; 4. and outputting the result of the single fault diagnosis of the intelligent diagnosis themes from 2 and the result of further intelligent diagnosis from 3 to a field detection worker, helping the field detection worker to detect and diagnose the electric energy meter. According to the invention, the method diagnoses and analyzes the operation of the electric energy meter through data comparison, statistics analysis and data mining, which can effectively determine whether the electric energy meter works normally.

The invention discloses a fault detection method based on an analytic hierarchy process and weighted vote decision fusion. According to the method, firstly, multiple classifiers are selected as fusion sub-classifiers, multiple classifier models are established through a training data set, corresponding evaluation indexes are obtained according to the classification result of each classifier, and then multiple classifiers are scored and sequenced with the analytic hierarchy process, so that each classifier is endowed with the corresponding weight. Finally, multiple classifier decision results are integrated with a weighted vote fusion method, and the final fault detection result is obtained. Compared with other methods at present, the fault detection method has the advantages that the monitoring effect of the industrial process is improved, mastering and operation confidence of a process operator for the process are enhanced, the limitation of single fault detection methods is overcome to a great extent, and automatic implementation of the industrial process is better facilitated.

This power and safety control hub for overall power control, safety control and power distribution integrates fault tolerant power disconnect control, software monitoring of disconnect and multi-voltage power distribution and disconnect with non-hazardous power control, EMI filtering and multi-circuit current protection in a single unit. In addition, it implements electromagnetic, single fault tolerant, safety control circuits without using positively driven contact relays. It coordinates the shutdown of any connected mechanical drives such as servo motor drives, stepper motor drives and variable speed drives autonomously commanding them to come to a controlled stop before safety power is disconnected (when networked controls are used). It also integrates segmented hazardous power control (load / unload and main machine / equipment areas) so that the main area can be operating while the load / unload area has power disconnected. Further, it automatically discharges energy sources within connected mechanical drives at the time of safety power disconnect of hazardous power. It also utilizes a safety control and monitoring algorithm that automatically forces the test on e-stop switches and interlocks in a machine each time the machine is powered up or reset. In addition, it has a state driven safety control and monitoring algorithm that pinpoints wiring and device problems for rapid debug. It includes internal self-protection that automatically forces a control safety power disconnect (after warning the host) if the unit should approach its maximum operating temperature, or if a cooling fan stops. Further, it incorporates safety monitoring software for the synchronous de-bouncing of the interlock and e-stop switch inputs (as a vector) to eliminate false trips. It also integrates a comprehensive audible overcurrent trip indicator as well as individual visual overcurrent indicators in the power distribution system and an e-stop reset function into the machine on-off front panel switch. Finally, our power and safety control hub for overall power control, safety control and power distribution includes a “soft-off” circuit that automatically shuts off the machine when the power supply voltage to a host computer is shut down.

A fault location estimation system comprises single-fault-assumed diagnostic means that assumes a single fault and stores fault candidates, fault types, and detected error-observation nodes at which an error arrives from the fault candidates; error-observation node basis candidate classification means that classifies error propagating fault candidates into groups according to error-observation nodes using the fault candidates and the error-observation nodes and stores the groups as fault candidate groups; inclusion fault candidate group selection means that acquires a relation between each fault candidate group and a fault output, calculates an inclusion relation among the fault candidate groups, and, if path information on one fault candidate group includes path information on another fault candidate group, deletes the inclusion fault candidate group; inter-pattern overlapping means that calculates combinations of fault candidate groups that can reproduce a test result in all test patterns by referencing the fault candidates and the fault candidate classification result and extracts fault candidates that are common to fault candidate groups, calculated in multiple patterns, to create a new fault candidate group; and multiple-fault simulation checking means that selects fault candidates from the combinations of fault candidate groups, one from each fault candidate group, performs multiple-fault simulation, compares the simulation result with the test result, and outputs a combination of fault candidate groups which matches relatively well with the test result and has a relatively high fault possibility.

The invention relates to an integrated diagnosis method of a gas path fault of an aeroengine, wherein the method is based on an adaptive weighted D-S evidence theory. With the method, problems that the precision is low because of a single fault diagnosis method and the evidence conflict exists during the fusion process of multiple methods can be solved. A non-linear local diagnosis module based on a particle filter and a non-linear local diagnosis module based on an extreme learning machine are constructed respectively; and fusion of local diagnosis results is carried out by using an adaptive weighted D-S evidence theory. A multi-method integrated diagnosis structure for an engine fault; diagnosis reliability degrees of all fault modes by a local diagnosis systems based on a particle filter and an extreme learning machine are obtained in an off-line mode by using a confusion matrix; and on the basis of the reliability degrees, different weight coefficients are assigned for an evidence body. Therefore, the evidence conflict is reduced effectively and the precision of an integrated diagnosis of a gas path component fault of an engine is improved.

The invention provides a common-tower double-transmission-line non-cross-line fault ranging method only utilizing single-end information and belongs to the technical field of power system protection and ranging. When one loop of a common-tower double-transmission-line power transmission line fails, a phase-mode matrix is used to decouple coupled phasors of two loops to obtain independent line-mode components of the two loops; analyzing a line-mode fault component network, using fault loop initial-end voltage and current fault component to calculate voltage of fault points and tail-end voltage, using tail-end boundary conditions of a line to calculate voltage of fault points, writing a fault positioning function according to the fact that fault point voltages at two ends are equal, and solving the positioning function to calculate fault distance.

The invention discloses a composite fault diagnosis method and device based on a deep decoupling convolutional neural network. The method comprises the following steps: 1, data set collection and calibration: respectively collecting vibration acceleration signals under single and composite fault experiment conditions of a rotary machine to obtain a plurality of samples, respectively forming a training set and a test set, and respectively setting category labels; 2, building a one-dimensional deep convolutional neural network model; 3, constructing a decoupling classifier with a multi-label output characteristic under a keras framework; 4, training a network model, and finally obtaining an optimal deep decoupling convolutional neural network model; and 5, performing intelligent diagnosis and classification on the composite fault, and outputting to obtain a real-time diagnosis result of the composite fault. According to the method, on the premise that only a single fault signal is used for training the deep decoupling network model, each single fault feature in the composite fault signal is extracted, and decoupling and classification of the composite faults are achieved through a decoupling classifier.

The invention discloses a composite fault diagnosis method and device based on a multi-label classification convolutional neural network. The method comprises: steps 1, collecting and extracting vibration acceleration signal samples under single fault and composite fault working conditions; step 2, giving a label to each sample according to the type, and dividing the sample into a training set anda test set; step 3, establishing a deep one-dimensional convolutional neural network, and setting a Sigmoid activation function and a boundary loss function Margin Loss; step 4, directly inputting the vibration data of the training set into the built deep one-dimensional convolutional neural network for training; and step 5, selecting an optimal model through Grid Search, and applying the optimalmodel to the test set to obtain a fault state classification result. The method enables the classifier to adaptively output a plurality of labels for the composite fault, is high in fault diagnosis precision, can overcome the limitation that a traditional classifier can only output one label, and achieves the diagnosis of the composite fault.

The invention discloses an industrial process fault classification method based on analytic hierarchy process and fuzzy fusion. The method comprises the steps that a training data set is used to carry out offline modeling on a number of classifier methods to acquire a number of models; the classification performance of the classifiers is presented in the form of a fusion matrix; and the analytic hierarchy process is used to score and evaluate a number of classifier models, so that a corresponding weight is given to each classifier; the classifier models are called; a discriminant matrix is calculated according to the classification result of each classifier; and the discriminant matrix and the scoring result of the analytic hierarchy process are used to integrate the classification results of a number of classifier through a fuzzy fusion method to acquire a final fault classification result. Compared with other methods, the method provided by the invention has the advantages that the diagnostic effect of an industrial process is improved; the process operator's confidence in grasping and operating a process is enhanced; and the limitation of a single fault classification method is greatly improved, which is conductive to automated implementation of industrial processes.

Device and method for the detection and / or diagnosis of faults in a process, equipment and sensors used to measure and control variables of a process, either for single faults or multiple faults. The detection and / or diagnosis are performed on the basis of residual calculation between measured values and values calculated by a plurality of parallel linear models, built up from the existing correlations between the measured variables by the process sensors and by different equations that rule the process, such as mass and heat balances, quality relationships, etc. A fault in a model (i.e. the obtainment of a residual anomaly high by comparing the model estimation and the measurement), increases the probability that some of the parameters or faults associated to that model are failing. When all models in which a participating parameter fail or show a high probability of failure, the anomaly rate of said parameters is maximum. Using said rates and a description of cause-consequence relationship between the parameters a fault probability is obtained, where the root cause of the problem is indicated, indicating the consequences produced in the process. The device comprises data storage means; pre-processing means for filtering data; means for generation and storage of multiple behavior models; residual calculation means for calculating the difference between the measured and the predicted values of the variables; analysis means for determining the need to communicate an anomalous situation; communication means for presenting a process status report.

The invention relates to a method for locating a single-phase grounding fault by adopting a transient state travelling wave and an injection method, which is suitable for locating a single-phase grounding fault of a low-current grounding system. The method solves the defects of a single fault locating method, thereby improving the fault locating accuracy. The method comprises the following steps of: (1) sampling a zero sequence voltage, and calculating and judging whether the zero sequence voltage exceeds a setting threshold value or not; if the zero sequence voltage exceeds the setting threshold value, showing that an electricity grid has a single-phase grounding fault, and then executing the following steps; (2) judging a fault phase according to the voltage change law in a system single-phase fault, then obtaining a phase voltage at the fault moment, and comparing the obtained phase voltage with 0.8up, wherein up is a system phase voltage peak value; (3) if the wavelet analysis is carried out on a transient state travelling wave signal, determining the time delta t for the travelling wave to go to and fro between a fault point and a generatrix once, thereby calculating the distance from the fault point to the generatrix; (4) and if a fault circuit is selected, cutting the power of the fault circuit, injecting a pulse signal to the fault signal, carrying out wavelet transform, detecting the reflected wave of the fault point, thereby obtaining delta t, and then calculating the distance from the fault point to the generatrix.

The invention relates to the technical field of relay protection, and relates to a comprehensive phase selection method for double-circuit lines paralleled on the same tower: using the six-sequence component method to eliminate the mutual inductance current between the phases; according to the transformed six-sequence component, First distinguish the ground fault and non-ground fault, and then select the fault phase according to the following steps: According to the current amplitude characteristics of the single circuit fault, the non-identical phase cross-line fault and the same name phase cross-line fault, distinguish the non-identical phase span line fault, single circuit fault and phase line fault with the same name; for a single circuit fault, the phase angle of the positive and negative zero-sequence components in the same direction is 0° or 180° from the two The fault line is selected from three lines, and then the phase selection is carried out according to the negative sequence and zero sequence current phase selection principles; for the cross-line faults of the same name phase and non-same name phase, the fault type is judged respectively. The invention can make up for the disadvantages of incomplete phase selection function and even wrong phase selection of other phase selection methods currently used on double-circuit lines.

A method and system to handle single failure GPS faults in high integrity relative positioning systems is provided. The system is configured to receive a number of reference measurements in carrier-phase real time kinetic positioning systems and identify if a single fault exists. The system identifies the type of fault and mitigates the effects of the single fault to provide a positioning system with a high integrity that is suitable for applications involving risk to human lives.

The invention relates to a relay protection method in power system, which is characterized in that the distance at the two fault points can be measured through synchronous sampling current and voltage between phases at two fault points, since the voltage between phases at two fault points is the same. The method comprises the procedures as follows: current and voltage instant values are obtained by a circuit protection unit through secondary current sampling of a current transformer and secondary voltage sampling of a voltage transformer on the circuit side; the Fourier three-phase current and voltage relation is calculated using Fourier algorithm; the sampling signal of the opposite side is received via optical fiber communication network and then filtered; phasor current and voltage is obtained through calculation; distance between the protection point and the fault point can be obtained. The invention has the advantages that the method is not affected by the source impedance and transition resistance of circuit operation mode; the influence on the distance measurement caused by poor earthing points and multipoint earthing is reduced due to the adoption of interphase value; as is proved by the theory and practice of single fault-related interphase value at the fault point, accuracy of fault distance measurement of the electric transmission line is greatly improved fault-related interphase value.

The invention relates to a method and a system for controlling and switching a computerized work station and a backup disc. The method comprises the following steps that: a transfer switch sends a switching command; a logic processing unit judges the working modes of the computerized work station and the backup disc on the basis of the switching command, and sending a state signal to a control cabinet; and the control cabinet receives the state signal and takes corresponding interlocking and activating operations. The invention realizes the switching of control rights of the computerized work station and the backup disc of a nuclear power station main control room, guarantees the isolation of train A power supply and train B power supply in the switching process, does not cause failure of switching function when any switching fails, meets the single failure criterion, and ensures that the normal operation and accident handling of a nuclear power station unit can be maintained by the backup disc when the computer working station fails, thus improving the security and economy of the nuclear power station unit.

The invention discloses a receiver autonomous integrity monitoring method used for a satellite navigation system, which is an RAIM method based on multi-satellite fault detection and removal and achieve the fault removal goal by a mode of acquiring constellations comprising the most fault-free satellites. In the method, fault-free individuals are formed by adopting coding, initialization and individual detection; then an individual comprising the most fault-free satellites is obtained by optimal search, and the individual is used as an initial result; when terminal condition is satisfied, the individual is the final result of RAIM. The method has simple realization, high fault removal efficiency and good robustness, not only can carry out single-fault detection and removal but also can carry out multi-fault detection and removal, is not only suitable for single system but also is suitable for multisystem and effectively achieve the goal of carrying out multi-satellite fault detection and removal in the RAIM method.

The invention discloses an aircraft engine gas path fault fusion diagnosis method. The aircraft engine gas path fault fusion diagnosis method includes the steps that an engine state variable model is built firstly, sensor bias values (NL, NH, P3 and T6) obtained when an engine with a gas path fault is in a quasi-stable state in a flight envelope, then an optimal particle is obtained through a Kalman filter according to an electromagnetism-like mechanism method, and the sensor bias values (NL, NH, P3 and T6) of the engine with the gas path fault and gas path component health parameters are obtained finally. The aircraft engine gas path fault fusion diagnosis method breaks through limitation that a traditional gas path fault diagnosis method can only achieve single fault mode diagnosis, and can achieve health diagnosis of three broad categories of fault modes including the engine sensor fault, the gas path component fault and the sensor and gas path component simultaneous fault.

The invention provides a method for improving wind turbine generator gearbox failure level judgment precision. The method comprises the steps that A, a failure type is determined according to the vibration signal characteristic value of a gearbox bearing; B, the distribution condition of all currently-monitored parameters corresponding to all monitored objects of a wind turbine generator gearbox in a failure level matrix of the failure type is determined, the failure level matrix comprises set failure levels, and each failure level comprises the value ranges of the parameters corresponding to the monitored objects of the wind turbine generator gearbox under the failure level; C, the occurrence probability of each failure level is calculated according to the distribution condition, and the current failure level is determined according to the occurrence probability. Therefore, schematic diagram convergence analysis can be carried out based on different weights of multiple kinds of failure signals, the blindness of locating the failure through a single failure parameter is avoided, the false alarm rate is lowered, and the wind turbine generator gearbox failure level judgment precision is improved.

The invention provides a method for detecting the transient voltage stability of a power grid. The method includes the steps of collecting operating data of the power grid, wherein the operating data include system element parameters, network topology structure information and load information; setting an operating mode set, a typical fault set and a node set of the power grid; carrying out time-domain simulation on various faults of nodes in the node set under the specific operating mode according to a computer time-domain simulation method; recording voltage of the nodes after the faults occur; calculating a voltage sag severity index and a voltage qualification index of the nodes and a system when a single fault of the power grid occurs or when the multiple faults of the power grid occur according to the simulation result; judging the transient voltage stability of the nodes and the system according to the voltage sag severity index and the voltage qualification index. The transient voltage stability of the actual power system can be detected more accurately and easily, and the transient voltage stability of any node of the actual power grid and the whole system can be judged according to the voltage sag severity index provided by the method.

The invention provides a novel fault injection method. According to the method, a platform for fault injection of an auxiliary power system is designed based on dSPACE, injection of a single fault and a plurality of faults can be configured freely, configuration management and parameter adjustment can be carried out fast through Simulink modeling and a Control Desk, a semi-physical simulation system is formed by an auxiliary power system multi-fault injection model and a physical electronic controller, the probability of generating multiple faults under a ground test and onboard environment is simulated through multi-fault injection, the defects of hardware and software in the system can be found fast in the earlier development process, then effective measures are taken, and the reliability of the system is improved.

The invention discloses a gear system multi-fault diagnosis method based on COM assemblies, which integratedly utilizes empirical mode decomposition, wavelet threshold noise reduction, a higher-order cumulant theory and a COM assembly technology. The wavelet threshold noise reduction directly acts on a high-frequency intrinsic mode function component obtained through the empirical mode decomposition rather than acting on a reconstruction signal obtained through a whole signal. Empirical mode decomposition-higher order cumulant processing are performed on the reconstruction signal after the noise reduction, and according to a spectrum analysis result, a diagnosis about a fault mode and a damage degree is made, such that the diagnosis precision and efficiency can be enhanced, and diagnosis functions are enriched. During an implementation process, the COM assembly technology is taken as a software realization means of a diagnosis system, and each part is developed to a COM assembly and can be combined to form an application system which can carry out fault mode and damage degree diagnosis; and by using the method provided by the invention, typical single-fault diagnosis can be carried out, composite multi-fault diagnosis can also be carried out, and the development and online upgrading of the diagnosis system are facilitated.

The present invention includes method and apparatus for storing provisioned information within the optical switches and retrievable by every controller. The optical switches perform failure isolation according to their provisioning information. The optical switches monitor each channel for loss of signal. The provisioning information is shared autonomously between the optical switches allowing the switches to retrieve the provisioning information of the network topology from any other optical switch in the network. Fault isolation is done by the optical switch on the level of optical switch provisioning following the paradigm of “single alarm for single fault,” thus avoiding alarm floods and ambiguous alarms, thereby saving the operator time and money.