2932 results about "Fault analysis" patented technology

A system, method and computer program product for processing utility data of a power grid is provided. In one embodiment, the system includes a datamart comprised of a plurality of physical databases storing utility data, a plurality of applications comprising an automated meter application configured to process power usage data from a plurality of automated meters, a power outage application configured to identify a location of a power outage, and a power restoration application configured to identify a location of a power restoration. The system may include an analysis engine comprising a plurality of analysis objects with each analysis object configured to process data to provide a specific analysis, wherein said analysis engine is accessible via one or more of the plurality of applications, and the system may include a report module configured to receive an output from the analysis engine and to output a report. The plurality of applications may also include a fault analysis application, a transformer analysis application, a theft detection application, a power flow application, a substation automation application, a load shed application and others.

The present invention provides an improved method and system for real-time monitoring, validation, optimization and predictive fault analysis in a process control system. The invention monitors process operations by continuously analyzing sensor measurements and providing predictive alarms using models of normal process operation and statistical parameters corresponding to normal process data, and generating secondary residual process models. The invention allows for the creation of a fault analyzer directly from linearly independent models of normal process operation, and provides for automatic generation from such process models of linearly dependent process models. Fuzzy logic is used in various fault situations to compute certainty factors to identify faults and / or validate underlying assumptions. In one aspect, the invention includes a real-time sensor data communications bridge module; a state transition logic module; a sensor validation and predictive fault analysis module; and a statistical process control module; wherein each of the modules operates simultaneously.

A system and a method for rapidly diagnosing bugs of system software are apply for rapidly localizing a system program fault that causes a system error and then feeding back to a subscriber. First, according to the subscriber's requirement, a program of system fault analysis standard is preset and written into the system. Next, a plurality of fault insertion points is added into a program module of the system according to the subscriber's requirement for the precision of the fault analysis result. Then, fault management information is generated at the fault insertion points during the running process of the system program, and the management information is monitored for collecting relevant system fault data. After that, the collected system fault data is analyzed in real time through the program of system fault analysis standard, so as to obtain the minimum fault set for causing the system error.

Methods for system management and corresponding systems and computer-readable mediums. A method includes detecting, in the management system, a fault condition in a management system device during an analysis period. The method includes determining the duration of the fault condition in the management system device during the analysis period. The method includes determining a total duration of a system state during the analysis period in which the management system device could produce the fault condition. The method includes assigning a prioritization to the fault condition according to the duration of the fault condition and the total duration of the system state. The method includes storing the prioritization of the fault condition.

The invention discloses an online state monitoring and fault diagnosis system of a wind generator set. The system comprises four parts of a monitoring device, an upper computer, a central monitoring center and a remote diagnosis center, wherein the monitoring device is used for realizing signal acquisition and processing and communication with the upper computer; the upper computer is used for carrying out fine analysis on sample data and displaying various graph spectrums and fault analysis diagnosis and the like; the central monitoring center can monitor the state of fans in each wind fieldin a browsing manner; and the remote diagnosis center is used for periodically acquiring fan data of the wind field, periodically analyzing the state of the fans and carrying out fault analysis and location when alarming information sent by a certain fan is received.

The invention specifically discloses a power distribution network simulation research and analysis system and method based on network-wide data. The system comprises a three-layer structure: a data layer, a platform layer and an application layer. The data layer mainly collects basic and operation data of a distribution network; the platform layer mainly gathers and summarizes various data of the distribution network and provides corresponding services to the application layer; and the application layer mainly, under the support of the platform layer and based on network-wide equipment and operation data, carries out a series of correlated application researches related to the power distribution network on scientific modeling, load flow calculation, fault analysis, closed-loop calculation, network reconstruction and self-healing simulation modules of the power distribution network comprising a lot of distributed generation, so as to realize comprehensive digital simulation of the power distribution network, and to provide decision reference for the construction and operation of the power distribution network.

The present invention relates to a rail traffic real-time fault diagnosis method based on data comparative analysis and a rail traffic real-time fault diagnosis system based on data comparative analysis. The method comprises the steps of (1) collecting the historical monitoring data and real-time monitoring data of rail traffic signal equipment, (2) according to the correlation relationship between the parameters of the historical monitoring data, obtaining a comparative analysis model of a normal state and a fault state, (3) according to the comparative analysis model of the fault state, generating the classification model of fault through classifier training, (4) for the real-time monitoring data, judging the normal state or abnormal state of equipment operation through the comparative analysis model, and carrying out fault alarming if the state if the abnormal state, (5) for the data of the abnormal state, carrying out fault diagnosis and classification through a fault analysis model, and outputting a fault diagnosis result. According to the method and the system, the fault of the equipment is diagnosed through classification and comparative analysis methods, and the problems of heavy workload, low efficiency and high risk in the artificial diagnosis of a railway signaling system failure are effectively solved.

The invention discloses a method for the fault diagnosis of wind turbines on the basis of a genetic neural network, in particular to a method for modeling the fault diagnosis of wind turbines on the basis of the genetic neural network capable of learning the operating data of the wind turbines in the history, more particularly a method for judging the probability that faults occur to a gearbox, a generator and a yaw system by reading the real-time operating data of the wind turbines online and calling the diagnosis model of the genetic neural network to carry out the analysis on the real-time data, thus judging the fault state of the wind turbines. Based on the method combining the genetic algorithm with the neural network, the invention can achieve the algorithm complementation, improve the model convergence and diagnostic capacity and ensure higher robustness; and the method capable of carrying out the online monitoring and fault diagnosis on the operating state of the wind turbines on a real-time basis to take maintenance measures as soon as possible can improve the reliability of the wind turbines and reduce the maintenance cost.

A power fault diagnostic mechanism for a computer system having a power system that includes a controller. A variable is recorded in a non-volatile memory associated with the power system. The variable assumes a first state when the computer system is powered on and operating. The variable remains in the first state until it enters a second state when the computer system is powered off in response to a power-off request. The controller operates in a standby mode when the computer system is powered off. Upon being powered up, e.g., after a utility power disturbance, the controller reads the variable in the non-volatile memory. This allows determination of whether a disturbance has occurred, even when the computer system was powered off. The controller maintains a local error log based on the variable accessed from the non-volatile memory. A system error log is updated by the operating system using the local error log.

A diagnostic unit which detects instances of misconfiguration of a subscriber's PC is presented. Many problems experienced by PC subscribers attempting to access a network are related to misconfiguration of the subscriber's PC. The diagnostic unit is able to communicate with the subscriber's misconfigured PC through Fault Tolerant Protocol stacks. The diagnostic unit emulates services such as log-in, authentication, e-mail and the Internet to the subscriber. The diagnostic unit examines the traffic sent by the subscriber to detect instances of misconfiguration and reports the detected configuration of the subscriber's PC.

The invention relates to an intelligent warning and fault analysis realizing method applied to an intelligent transformer substation monitoring system, which belongs to the technical field of transformer substation automation. An intelligent warning and fault analyzing module is used for analyzing various pieces of information reported by a measurement and control device, a protective device and a fault recorder, generating a fault analysis report by combining topology with every fault in an automatic identification fault reasoning model, and submitting the generated fault analysis report to a scheduling master station at a master station end. The workload of personnel on duty is greatly reduced, and the fault processing efficiency is improved. The requirement of an intelligent transformer substation on an intelligent warning and fault analysis system can be met, faults can be quickly judged and analyzed, and processing schemes can be provided so as to assist the personnel on duty in quickly processing the faults, and reduce the loss caused by the faults.

A distance to PIM measurement circuit is made using a device such as an AWS transceiver that has separate transmit and receive bands. With a typical AWS transceiver placed in close proximity to a PCS transceiver, the AWS device will include a band reject filter to eliminate interference from the PCS signals. The PIM measurement circuit includes two frequency sources F1 and F2 that are provided through a combiner for characterization of the PIM circuit. To enable distance determination, an FM measurement is created by using a offset sweep generator attached to one of the two frequency sources. To avoid frequencies blocked by the band reject filter, a desired harmonic of a test PIM harmonic signal is selected outside the band of the band reject filter. In one embodiment, a reference signal is provided by mixing a signal from an ×M multiplier connected to the F1 source with an ×N multiplier signal connected to the F2 source, the mixed output being filtered to select the desired harmonic reference signal to avoid the band reject filter. In another embodiment, a reference signal is created by generating all harmonics of the combined F1 and F2 signal using a series connected amplifier and clipping diodes with a filter again used to select the desired harmonic reference signal to avoid the band reject filter.

A system for automated fault analysis and execution of post-flight or pre-flight tests for an aircraft is provided. The system includes a maintenance test client system onboard the aircraft, and a ground-based maintenance test server system that is remote from the aircraft. The maintenance test client system is configured to collect fault data for the aircraft, and to wirelessly transmit the fault data to the ground-based maintenance test server system after the aircraft has landed. The ground-based maintenance test server system is configured to receive the fault data, to generate a test checklist that is influenced by the fault data, and to transmit the test checklist to the maintenance test client system. The maintenance test client system wirelessly receives the test checklist, and initiates execution of at least one test specified in the test checklist.

The invention discloses a machine room server remote monitoring method and system. The system comprises a plurality of IP cameras, a switch and a machine room monitoring center, wherein the IP cameras are used for receiving a shooting data acquisition command, and performing shooting on equipment state indicator lights in a machine room to generate a group of modeling image data; and the machine room monitoring center is used for acquiring and saving the group of modeling image data in advance, controlling each IP camera to perform shooting on server cabinets monitored by each IP camera according to a set shooting data sampling period, acquiring a group of real-time image data, comparing the chromatic value of each equipment state indicator light in the group of real-time image data with the chromatic values of corresponding equipment state indicator lights in the saved modeling image data one by one, checking abnormal servers in the machine room according to comparison results, and executing alarming. Through adoption of the machine room server remote monitoring method and system, accurate history image data which can be inquired is provided in order to perform server fault analysis and processing, and the server fault checking efficiency can be increased greatly.

The invention discloses a fault log monitoring method used for managing host to monitor a controlled machine. The method includes the configuration step that fault analysis parameters are set for the controlled machine; calling step that fault log of the controlled machine is called and generated; filtering step that the fault information in fault log is filtered according to the fault analysis parameters, and warning levels are set for the filtered fault information according to the set rules; warning step that warning message with warning levels is sent to the management host aiming at the filtered fault information. By adopting the monitoring method provided by the invention, automatic and precise monitoring on fault log can be realized, a plurality of service accidents are avoided occurring and a great deal of heavy loss is reduced.

A PIM measurement circuit enables making forward and reverse PIM measurements on any 1 port (reflection) or 2 port (transmission) device with the ability to determine in distance where individual PIM impairments are located as well as their magnitude. The PIM measurement circuit includes two frequency sources that are provided through a combiner for a CW characterization of the PIM circuit. To enable distance determination, an FM measurement is created by using a saw tooth offset sweep generator attached to one of the two frequency sources. With downconversion and processing of signals from the PIM impairments, the FM signal provides a frequency variation that is converted using a Fourier transform or spectrum analysis for separation of frequencies, enabling determination of the distance of the PIM sources as well as their magnitudes.

A network management system (10) includes a fault diagnosis system (12) connectable to a communications network (20). The fault diagnosis system includes a fault object factory, a path determination module, and a fault diagnosis engine. The fault object factory is constructed and arranged to receive fault data and create fault objects. The path determination module is constructed to determine, in a communications network, a path related to the fault data. The fault diagnosis engine is constructed to perform, using the determined path, a fault analysis on the fault data to diagnose a fault related to the communications network. The network management may also include a help desk system (18), a topology mapper (14) or an impact analyzer (16).

The invention relates to a rolling bearing fault diagnosis method. The method uses a learning algorithm of a CNN (Convolutional Neural Network) theory to complete a feature extraction task needed by fault diagnosis, and does not rely one manual selection, intrinsic features of input data are extracted automatically from simple to complex and from low-level to high-level, and abundant information hidden in known data can be dug out automatically; and a support vector regression method is used to identity a test sample in a classifying manner, support vector regression with a high generalization capability can be used to identity an unknown new sample in higher precision, and the disadvantage that a default classifier of deep learning tends to be low in the generalization capability can be overcome when support vector regression serves as a classifier to identify samples in the classified manner. The rolling bearing fault diagnosis accuracy and validity can be improved, a new effective approach is provided for solving problems in rolling bearing fault diagnosis, and the method of the invention can be widely applied to fault analysis of complex mechanical systems in the fields of chemical industry, metallurgy, electric power, aviation and the like.

The invention relates to a platform and a method for judging a fault of a match power grid and belongs to the technical field of power grid management. The platform comprises a fault information receiving module, a fault equipment positioning module, a fault information screening module, a line topological analysis module, an equipment operation information analysis module, a line switch analysis module and a fault analysis display module. The method comprises the following steps of: receiving fault information; acquiring source equipment information related to the fault information; screening the fault information to obtain a line topological structure and an equipment list; carrying out measurement analysis and judging whether equipment has a fault, executing the next step if yes, and finishing if no; detecting on-off information of a switch and judging whether a line fault exists; and determining the type, the position and the influence region of the fault and displaying the fault equipment and the information and the influence region thereof. According to the platform and the method, as soon as the reported fault information is received, the judgment can be automatically carried out in advance to obtain the accurate type, position and influence region of the fault so as to provide powerful basis for rush repair and management of the fault.

The disclosed fault analysis method for communication device comprises: pre-setting and storing the fault match rule; when the device fails, obtaining fault message; using the match rule matching current message to determine the fault reason and / or solution scheme. This invention improves fault analysis efficiency, and quickens the process speed.

The invention discloses an intellective decision-making sustaining system of city electric network accident; the system includes shared SCADA system data, and collected remote signaling remote metering data module and electric network real time running module, the SCADA data is preprocessed, and then transmitted to fault analyzing module, the fault analyzing module and fault processing module analyses and process combining the electric running mode and expert knowledge base and PAS service course, and the fault processing result is stored in the history data base module, the history data base module also includes representative prediction knowledge base module, the history data base module is connected with the protecting distributing module which shares part of data in attemper managing information system module. The invention provides forceful omnidirectional decision-making support.

The invention relates to a fault simulation system and a fault analysis method for single event upset in a large scale integrated circuit SRAM-type FPGA (Field Programmable Gate Array). The fault simulation system comprises a host computer and a control board, wherein the control board comprises a fault injection module, a fault detecting module and a fault analyzing module. The fault simulation system and the fault analysis method provided by the invention are flexible to use, low in cost, high in simulation precision, fast in simulation speed and free from any physical damage to a chip.

An improved method, apparatus and computer system for automatically reporting of faults in a telephonic network is described. When a network fault is detected, a determination is made by a fault analyzer whether or not the detected fault is a reportable fault. If the detected fault is a reportable fault, then an alarm report based upon the reportable fault is generated which is then distributed based upon a distribution list. The distribution list includes only those destination addresses associated with the reportable fault. The alarm report in distributed to any number and kind of communications devices such as, a pager, an email server, and a control console.

The invention provides online risk analysis system and an online risk analysis method for a regional power grid. The system comprises a display unit, a power grid running risk monitoring unit, an important user monitoring unit, an analysis unit and a risk grading unit; the method comprises the following steps: (1). acquiring the power grid running data and system state; (2). conducting expect fault set selection and fault analysis; (3). judging the result caused by the power grid according to the expect fault, if power supply risk exists, conducting the step (4), otherwise returning the step 2; and (4). calculating risk indicator, and conducting risk grade prompt according to the indicator. The online risk analysis system and the online risk analysis method for the regional power grid comprehensively consider the current state probability, fault possibility and fault seriousness of the system, and help a dispatcher analyze and find hidden risk of the system.

A power system fault diagnostic method belongs to the power system dispatch and fault analysis domain, comprising: step 1 of downloading the fault data base of the power system to process to form a rule base; step 2 of collecting the voltage of the power system, current, the on off state signal of the breaker and the action signal of the relaying protection using the collecting device; step 3 of performing on-line fault diagnosis; step 4 of uploading the fault information to the host computer of the device and on-line adding the fault. The prior data collecting device, the mature technique and the outlying theoretical knowledge are combined together. The modified general rough intensivism contracted calculation can solve the problem that it is incapable for diagnosing or accurately diagnosing due to information deletion when the large scale chain fault generates. Especially the method can solves the fault diagnosis under 'avalanche data' which can not be solved by conventional method and ensure the system safely and stably run under each condition.

The invention relates to a relay protection running management information system, which consists of a main station layer, a substation layer and an equipment layer, wherein the main station layer consists of a database, an application layer and a client layer; the database is used for storing system structure model data and historical sampling data; the application layer realizes encapsulation of system application logic at a server end; the client layer comprises a system model management module, a fault analysis module, an equipment management module and a valuing and checking module which are flexibly distributed under network environment and serve as client application, and a communication management module; and the substation layer comprises a communication service module and a system management module, and is used for accessing various IED devices in field, communicating with the IED devices in field and completing protocol converting and data forwarding functions. The system improves the informatization and intelligence levels of a power grid safety running dispatching system, and can provide real-time fault information for the dispatching when a power grid is failed so as to improve the automation level of the dispatching.

The invention provides a relay protection and fault information management system for a regional power grid. The relay protection and fault information management system comprises a sub-station system and a main station system, wherein the sub-station system comprises a plurality of sub-stations, each sub-station is connected with and monitors secondary equipment, collects the data of the secondary equipment, sends the data to the main station system at a scheduling end, receives a control command of the main station system and sends down the control command to the secondary equipment appointed by the main station system; the main station system comprises a plurality of main stations, is connected with the sub-station system by a communication network, collects the data collected by all the sub-stations and sent by the secondary equipment for fault analysis and sends a control command to the appointed secondary equipment. According to the relay protection and fault information management system, the fault conditions can be grasped timely, comprehensively and accurately in scheduling, so as to process the system fault fast and accurately and provide convenience for the concentrated monitoring and the concentrated management of the operating conditions of a relay protection device for the whole network.

A method for detecting faults and their locations in an optical path between an optical line terminal (OLT) of and optical network units (ONUs) of a passive optical network (PON). The method comprises forming a maintenance optical link through the PON between the OLT and a collocated ONU, the OLT and its collocated ONU are each connected to an optical splitter; sending a ranging request from the OLT to the collocated ONU; in response to the ranging request, receiving, over the maintenance optical line, a ranging burst signal including at least a fault analysis detection pattern (FADP); and analyzing the FADP in the received signal by auto-correlating the FADP signal with an expected FADP signal, an uncorrelated event measured through the auto-correlation is indicative of a fault in the optical path of the PON and occurrence times of such events are indicative of the fault's location in the optical path.

A method for automatically performing a network audit. The network may comprise a number of different types of devices, each with multiple possible configurations. In one embodiment, each device in a network is queried for its configuration. For example, a number of optical routers are queried as to what interface cards each has. All of the data may be collected from a single point in the network. Based on the responses, one or more status queries are issued to each device. Next, the process analyzes the responses according to a set of rules that are tailored for each possible device configuration. Then, one or more network audit tables are displayed. The tables have a similar look and feel regardless of the type of device or the device's configuration. For example, for each type of device configuration there may be tables pertaining to fault analysis, capacity and planning, configuration, and performance.