100 results about "Cause effect analysis" patented technology

Embodiments disclosed herein can significantly optimize a root cause analysis and substantially reduce the overall time needed to isolate the root cause or causes of service degradation in an IT environment. By building on the ability of an abnormality detection algorithm to correlate an alarm with one or more events, embodiments disclosed herein can apply data correlation to data points collected within a specified time window by data metrics involved in the generation of the alarm and the event(s). The level of correlation between the primary metric and the probable cause metrics may be adjusted using the ratio between theoretical data points and actual points. The final Root Cause Analysis score may be modified depending upon the adjusted correlation value and presented for user review through a user interface.

The invention discloses a diagnostic method and system for whole vehicle faults of an electric vehicle. The diagnostic method comprises the steps of collecting the operation information of all electrical devices of the electric vehicle, detecting whether the collected operation information is abnormal or not, giving out data abnormal alarms if the operation information of one or more electrical devices is detected to be abnormal, displaying the abnormal operation information and the names of one or more electrical devices corresponding to the abnormal operation information, inquiring a local fault diagnosis database according to the abnormal operation information, reading the fault reason analysis information corresponding to the abnormal operation information from the fault diagnosis database, and outputting the fault reason analysis information. The diagnostic method and system for the whole vehicle faults of the electric vehicle can conduct fault diagnosis on all the electrical devices independently, also conduct diagnosis on complex fault problems occurring in the matched using process of all the electrical devices, analyze the fault reasons, and greatly save human cost.

Information of failure events from various network devices and service objects is written into original event list. Correlation analysis is carried out for events read by analyzing and controlling engine from the original event list according to levels of original event and selection of classes. The dynamic analytical algorithm synthetically handles information in each area such as scene of historical fault analysis, dynamic performance parameters of network, dynamic topology information and time character of event etc. comparing with prior art, the invention overcomes disadvantages of overlooking information of dynamic network state, dependent on preset rule and lack of auto study ability etc. The invented method provides effective correlation analysis, fault reason analysis and location in real time when storm of network fault happens.

A method and system for automated root-cause analysis for failures in class loading in a Java Virtual Machine (JVM) environment. Specifically, a class loader comprises a class loader for loading classes which comprises an identifier, a search policy object, a configuration policy object, and metadata. The identifier is unique to the JVM environment. The search policy object defines search procedures for discovering and loading a class by the class loader. The configuration policy object manages configuration of the class loader. Metadata describes the interrelationships between the class loader to other class loaders in a class loader tree supporting the JVM environment.

Root cause analysis of changes impacting database performance, availability and continuity to the underlying business may be performed. A system for doing so may include analytical and visual comparison root cause analysis engines to identify changed database performance statistical parameters (such as CPU consumption, physical I / O, etc) related to a historical period of time on a single database or across multiple databases. Result data may be displayed through a series of charts and reports that may indicate whether correlations exist between unexpected database performance and relative changes in database performance statistical parameters. A visual root cause analysis system may further apply noise reduction algorithms to clarify trends in changes of database system performance.

The invention discloses a failure repository-based automated failure processing system and a method and belongs to the technical field of failure processing technology. According to the technical scheme of the invention, failures are classified and processed a failure repository. After that, the reason analysis of the failures and the matching of failure processing strategies are conducted, and then failure processing command / scripts are automatically executed according to the processing strategies. After the processing process, processing results are collected and the corresponding detection and confirmation is conducted. At the same time, the failure processing experience is accumulated in the failure repository and the above steps form a cycle. Based on the association of the automated failure processing and the failure processing strategies, the failure processing is automatically executed in combination with the failure processing strategies and the failure knowledge. Meanwhile, the accumulation of both the failure knowledge and the failure processing strategies is realized, so that the failure processing timeliness and the failure processing efficiency are greatly improved. Moreover, the waste of failure processing resources and the waste of time, caused by the condition that various managers are not familiar in other fields, can be effectively avoided. At the same time, the automated manner is adopted, so that the failure processing of a data center is more accurately conducted just in place.

Performance problems or other conditions are analyzed in a system comprising a plurality of endpoint devices and an associated centralized or distributed controller. End-to-end measurements are obtained for respective paths through the network, for example, using communications between the endpoint devices. For a given end-to-end measurement obtained for a particular one of the paths, a value of a performance indicator for the path is determined and the performance indicator value is assigned to each of a plurality of links of the path. The determining and assigning operations are repeated for additional ones of the end-to-end measurements, the links are grouped into one or more exculpation or inculpation sets based on how many times a particular performance indicator value has been assigned to each of the links, and the one or more sets are utilized to determine, for example, the location of a performance problem in the network.

The invention provides an over-voltage on-line monitoring method used for solving the problems during electric network over-voltage monitoring. The invention adopts the technical proposal as follows: a hardware system comprises a voltage transformer, a signal conditioning and protection circuit, a data acquisition card and an industrial control computer, which are sequentially connected; the industrial control computer is used for collecting in real time the secondary lateral over-voltage signal of the voltage transformer by the data acquisition card; according to the voltage transfer function of the voltage transformer and the signal conditioning and protection circuit, the quick inversion and restoration computation is performed in combination with the saturation characteristic of the voltage transformer; and finally, the voltage type is determined by comparing the waveform of the voltage transformer primary lateral voltage acquired from the computation with various over voltage types stored in the database. The invention is capable of capturing in real time and storing the temporary over voltage waveform of a power system so as to provide reliable data for analyzing the cause of equipment accidents in the power system. Moreover, the invention is characterized by simple hardware structure and reliable operation.

Root cause analysis of changes impacting database performance, availability and continuity to the underlying business may be performed. A system for doing so may include analytical and visual comparison root cause analysis engines to identify changed database performance statistical parameters (such as CPU consumption, physical I / O, etc) related to a historical period of time on a single database or across multiple databases. Result data may be displayed through a series of charts and reports that may indicate whether correlations exist between unexpected database performance and relative changes in database performance statistical parameters. A visual root cause analysis system may further apply noise reduction algorithms to clarify trends in changes of database system performance.

A system and method for using event management root cause analysis to depict resource dependencies are provided. With the system and method, since the root cause analysis of known event management systems provides a mechanism for defining interactions of enterprise components for root cause analysis purposes, this information is used as a basis for obtaining enterprise component relationship information that may be used by other management applications. That is, the system and method monitor the application of correlation rules to event notifications from various enterprise components and determine relationships of the various enterprise components based on the results of the application of the correlation rules. These relationships may then be stored in a data structure representing the system environment and may be used by other management systems or displayed to the user in a graphical format that graphically represents the system environment.

The invention discloses a shutdown method of a variable frequency air conditioner. An indoor machine or an outdoor machine sends out a shutdown signal, and the outdoor machine receives the shutdown signal and analyzes a shutdown reason. When the shutdown reason is an emergency shutdown situation in an accidental shutdown, immediate shutdown processing is carried out.When the shutdown reason is a non-urgent shutdown situation in the accidental shutdown, underclocking shutdown processing is carried out. When the shutdown reason is a normal shutdown, the underlocking shutdown processing is carried out. By distinguishing the shutdown reasons of a variable frequency air conditioner and adopting different shutdown modes to different shutdown reasons, emergence of situations of high-frequency shutdown of the variable frequency air conditioner is greatly reduced, service life of the variable frequency air conditioner is further improved, immediate shutdown is conducted when urgent shutdown is needed, and using safety is improved. The invention further discloses a variable frequency air conditioner, a shutdown reason analyzing module is added in the air conditioning system to analyze the shutdown reason, and adopts different shutdown modes according to different shutdown reasons, the high-frequency shutdown is reduced, and service life of the air conditioner is improved.

To provide a quality control system of a printed board for realizing efficient quality control.An imaging means picks up images of a printed board in each process in a series of processes for soldering components on the printed board. An image storage means stores (accumulates) the picked-up images in each of processes so that they may be correlated. An inspection means inspects the solder mounting quality from the picked-up image of the final process. Then, if a failure is detected by inspection, a candidate event selecting means selects one or more events which may be a cause of the failure among the events which may be generated in designing steps or an intermediate processes in manufacturing. An event analyzing means determines the degree of occurrence of each of candidate events by referring to the picked-up images in the intermediate processes. A cause analyzing means estimates the cause of the failure on the basis of combinations of the degree of occurrence of each of the candidate events.

The invention relates to computer network technology and discloses a system and a method for monitoring the abnormity of a border gateway protocol (BGP) network. The method comprises the following steps: collecting BGP advertisement update messages in the BGP network, constructing a character string v corresponding to each collected BGP update message, adding the character strings v to a character string assembly V, searching a character substring vsub with the highest appearance frequency as the position where the BGP network abnormity occurs, and speculating the reason inducing the BGP network abnormity according to the content of the character substring vsub following a routing behavior analysis method. The invention can more effectively monitor BGP network abnormity and analyzing abnormity reason, with remarkably improved accuracy and simplicity.

Disclosed is a motor driving apparatus in which provisions are made so as to easily isolate the cause of a fault in the event of the occurrence thereof. The voltage and current in each phase of the AC power being supplied to a converter are detected, and the most recently detected data are stored in a power supply monitoring unit for a predetermined period of time. If an alarm occurs in the converter, inverter, or controller, the data currently held in the power supply monitoring unit are recorded in a recording unit. By displaying the thus recorded data, one can easily identify whether the cause of the alarm is due to the power supply or the motor driving apparatus itself.

The invention relates to a power distribution network failure cause analyzing method based on an expert system and the D-S evidence theory. The method comprises the steps that information needed by power distribution network failure cause analysis and the source of the information are determined firstly, and the needed information comprises failure information and non-failure information; then, primary failure cause analysis is carried out through the expert system, and primary conclusions are obtained; finally, each primary conclusion is adopted as a basic trust distributive function, the basic trust distributive functions are integrated into a final basic trust distributive function through the combination mode of the D-S evidence theory, the final basic trust distributive function is the final conclusion, and the power distribution network failure cause is obtained. According to the method, the most precise conclusion of the failure cause is obtained according to various kinds of information based on reasonable derivation, therefore, the power supply reliability of a power distribution network can be overall improved, and economic benefits can be improved.

The invention provides a method and a system for line loss abnormal reason data mining and analysis. The method includes: establishing a line loss reason analysis standard, obtaining line loss resource information, conducting a line loss resource information analysis according to the line loss reason analysis standard, building a line loss basic information model, obtaining power grid business data, performing line loss abnormal reason data mining and relative information characteristic analysis according to the power grid business data, the line loss resource information, and the line loss basic information model, finding a large-probability reason for line loss anomaly, according to the idea of EMS and DMS state estimation, performing metering bad data identification, thereby correcting the large-probability reason for line loss anomaly, and obtaining the large-probability reason for line loss anomaly after correction. In the whole process, mining and analysis of the power grid business data and the practical condition of power grid line loss resources are performed, and accurate analysis of the line loss abnormal reason is realized.

A system and method is disclosed for root cause analysis and early warning of inventory problems. The system includes a server coupled with a database and configured to access the data describing inventory policy parameters of a supply chain network, the data describing one or more demand patterns and one or more replenishment patterns of the supply chain network, and the data describing the supply chain network comprising a plurality of entities, each entity configured to supply one or more items to satisfy a demand. The server is further configured to optimize the inventory policy parameters for each of the one or more items according to the one or more demand patterns and the one or more replenishment patterns and store the optimized inventory policy parameters in the database for each of the one or more items.

A method and systems of safety analysis of engineering processes for safety analysis of nuclear power stations are disclosed. A distribution of risk factors is analysed on different stages of the engineering process, and safety intervals are determined where safety conditions remain invariable. The method further includes analysis of failure transitions from one safety interval into another by means of cause-effect analysis. Based on the results of this analysis, deterministic safety models are created for possible scenarios of transition of failures from one safety interval into another. The method and systems provide quantitative safety analysis and evaluation for engineering processes in variable safety conditions and enable creating valid safety requirements to perform optimization of an engineering processes control system.

The invention discloses an off-site equipment remote maintenance monitoring platform system and a monitoring method, and relates to the field of remote monitoring. The system comprises a plurality of remote terminal devices distributed in different places, a monitoring cloud platform located locally, and a client. The remote terminal device further comprises a terminal monitoring unit. The terminal monitoring unit can obtain operation state information collected at a remote terminal device, carry out analog-to-digital conversion on the operation state information, and upload the operation state information to a monitoring cloud platform in real time through a wireless network; the monitoring cloud platform can monitor abnormal data sent by the remote terminal equipment in real time, and obtain change trend data of the operation state information of the remote terminal equipment in the medium and long term time period, and the monitoring cloud platform analyzes the operation condition and the fault reason of the remote terminal equipment by referring to the abnormal data, and transmits the abnormal data and the change trend data to the client, so that the remote terminal equipment is maintained by adopting more active and effective means.

The invention discloses a reciprocating type liquid shock absorber simulation test device. The problems that the adjusting process of an existing reciprocating type liquid shock absorber is tedious, and the reason analysis is insufficient are solved. The reciprocating type liquid shock absorber simulation test device comprises a driving device, a test device body, an oil supply device and a device installation platform. The driving device is fixedly connected to the left side of the upper surface of the device installation platform. The test device body is fixedly connected to the right side of the upper surface of the device installation platform. The right end of a two-direction tension and pressure sensor in the driving device is fixedly connected with the left end of a piston rod in the test device body through threads. The oil supply device is installed below the right portion of a plane frame at the top end of the device installation platform. The left end of a restoration cavity switch valve in the oil supply device is connected with a first pipe joint in the test device body through a hydraulic oil pipe, and the right end of a compressed cavity switch valve in the oil supply device is connected with a second pipe joint in the test device body through a hydraulic oil pipe.

A system in a telecommunications network includes a database including at least one metric, at least one module configured for analyzing the at least one metric, a graphical user interface configured for displaying the at least one module, and a processor configured for determining a root cause in the network.

The embodiment of the invention provides an index fluctuation analysis method and device. The method comprises the following steps: obtaining data to be detected, wherein the data to be detected comprises at least one piece of index data; according to a preset rule, determining an abnormal fluctuation index data in the at least one piece of index data; splitting the abnormal fluctuation index dataaccording to a plurality of dimensions, and determining the contribution degree of each dimension combination, wherein each dimension combination comprises at least one preset dimension; according toone or a plurality of contribution degrees in each dimension combination, generating an abnormal fluctuation analysis result. Therefore, the reason of abnormal fluctuation of the index data is more accurately determined, and the analysis efficiency of the abnormal fluctuation reason of the data is improved.

The invention belongs to the technical field of intelligent power grids, and provides a method and system for evaluating and analyzing relay protection. The method comprises the steps that the movement conditions of a protection device are analyzed according to definite value data provided by a fault recorder and the relay protection device, data information is acquired and managed, and an information database is constructed; the analysis models of the relay protection device are constructed, and comprise an operating reason analysis model and a correction analysis model; searches are carried out in the information database according to the current operating state of the relay protection device, the corresponding analysis models are found, and an evaluation result is calculated. The reason for a fault can be analyzed to the maximum extent according to the operating state of the relay protection device, the relay protection device is maintained by work personnel according to the reason, the safety of electrical equipment and the stable operation of an electric system are effectively guaranteed, and the maloperation, operation refusing and other incorrect operations of the protection device are avoided.

The invention relates to a trailing interval flow control scheme rationality assessment method. The trailing interval flow control scheme rationality assessment method comprises the processes of utilizing a data source under the condition without trailing interval limitation to assess accuracy of demand predication and capacity prediction and to eliminate interference of MIT (miles-in-trail) factors, and establishing a demand prediction and capacity prediction accuracy probability computing method; based on different demand and capacity prediction accuracies, establishing a process for assessing the rationality of MIT under the condition of taking trailing interval flow control measures; determining capacity influence rates f(CERXt) of different weathers; analyzing consequences and possible reasons due to the fact whether the MIT is implemented under different predicting conditions. The trailing interval flow control scheme nationality assessment method improves the current situation of incapability of assessing rationality of existing MIT flow control measures, lays foundation for enhancing and improving trailing interval control schemes, achieves effective supervision of every airspace control units, improves the air traffic efficiency and the management level, avoids airspace resource waste, improves the on-schedule rate of flights and reduces flight delay.

A springback occurrence cause analyzing method includes a forming analyzing step of calculating forming data about an object to be formed, a component resolving step of resolving the stress component in one direction into a parallel stress component and a bending moment component, a pre-calculation independent resolution forming data creating step of creating pre-calculation independent resolution forming data, a calculating step of creating post-calculation independent resolution forming data, a springback analyzing step of analyzing a first springback shape and a second springback shape, a degree-of-influence calculating step of determining the degree of influence of the stress of each region calculated from the shape before the springback included in the forming data and the first and second springback shapes on the springback deformation, and a display step of displaying the degree of influence on the springback deformation.

The invention provides a method for analyzing a webpage exit region and an exit reason, which comprises the following steps: step 1, users log in a client to browse a webpage, a server counts and stores page information and user access information which comprise track coordinate data of each user who browses the page and operation information on coordinates; step 2, the track coordinate data of the users and the operation information are analyzed to determine exit modes of the page and record the coordinates of exit points; step 3, according to the exit modes and the coordinates, a corresponding thermography on a screen-shot of integral webpage information; and step 4, according to the thermography, the webpage exit region and the exit reason are analyzed, wherein the operation information comprises click behaviors, retention behaviors and retention time of the users on each coordinate point and the exit modes comprise a click exit mode, a retention exit mode and a track exit mode. According to the method disclosed by the invention, the problems of the page can be rapidly analyzed and found and the working efficiency is improved.

The invention discloses a fault diagnosis method and system based on network traffic data. The method includes the following steps: searching all to-be-analyzed network equipment that may cause occurrence of a link traffic abnormality event of a fault network device based on a pre-built propagation model of a link traffic abnormal failure; obtaining the link traffic abnormality event occurring onthe to-be-analyzed network equipment based on the network traffic data and a pre-built link traffic anomaly detection model; and obtaining reason network equipment and a reason network failure based on the link traffic abnormality event occurring on the to-be-analyzed network equipment. Based on network link traffic monitoring data and network topology data, the method and the system achieve an analysis processing framework for automatic detection and reason analysis diagnosis of the network link traffic abnormal failure, and based on the framework, automatic analysis and discovery of mass abnormal traffic data and automatic diagnosis of reasons can be achieved.

The embodiment of the invention provides a power consumption anomaly diagnosis method, a mobile terminal and a storage medium. The method comprises the steps of obtaining the power consumption of at least one hardware module, determining a hardware module the power consumption of which satisfies a preset condition as a target hardware module, obtaining the running parameters of an application program, using the application program to call the target hardware module, judging whether or not the running parameters of the application program exceed a preset parameter range, if yes, determining that the application program causes a power consumption anomaly, and if not, determining that the target hardware module causes the power consumption anomaly. By means of the method, when the situation occurs that the power consumption is quick or equipment generates heat, the cause of the power consumption anomaly can be analyzed, and the problem is solved that causes of power consumption anomaliesare difficult to analyze since the running condition of the equipment cannot reoccur.

The invention relates to a cross section measurement method for the fiber volume fraction of steel fiber concrete. The method comprises the following steps of: establishing a regression formula of the volume fraction of steel fibers and the number of the steel fibers on the cross section area of the steel fiber concrete, which is determined by a cross section method; collecting a test piece on site or manufacturing the test piece on site or indoors, and rupturing the test piece through a splitting test or a bending tensile test; measuring the number of the steel fibers on two cross sections, and taking the average value of the number of the steel fibers on the two cross sections as the number of the steel fibers on the cross section of the test piece; and substituting the measured number of the steel fibers into the regression formula to deduce the volume fraction of the steel fibers. By the method, the volume fraction can be tested at any position on a construction site, and the tested concrete can be non-poured concrete or cured concrete. The method contributes to the quality inspection of a steel fiber concrete mixture, is suitable for the quality accident reason analysis and project acceptance of the cured concrete, and is low in test cost, a test instrument is simple, and test flexibility is achieved.

The invention relates to a high-speed train fault handling method. The method comprises the steps of 1) querying faults and fault codes in a fault list, which occur during a user set time, to compose a fault set; 2) scanning the fault set to obtain a frequent item set meeting the minimum support level and then obtain a legal fault association rule set; 3) expresses the legal fault association rule set in a rule diagram, and matching the faults in the fault list in the step 1) with the nodes of the rule diagram; 4) traversing the routes to be matched of all the nodes in the matched rule diagram, computing the importance of the faults represented by the nodes on the routes to be matched and performing sequence sorting; 2) according to the importance sequence of the faults to perform treatment. The high-speed train fault handling method can support fault reason analysis under the condition of lack of expert knowledge and meanwhile find out cause and effect in massive faults through rule matching, so that maintenance can be performed preferentially on high-importance source faults, and further the fault maintaining cost of high-speed trains can be greatly reduced.