66results about "Detecting faulty hardware using fault dictionaries" patented technology

A system and method for providing an accurate root cause failure by linking user incident reports to the root cause failure in a diagnostic database that reflects the system's current configuration. The system is pre-populated with pre-identified symptoms that are associated with assets in the system. The pre-identified symptoms are inactive until actual failures with assets are detected by a monitoring application. After the pre-identified symptoms become active, they are presented to service representatives who also answer calls from users. The activated pre-identified symptoms are used to assist the service representatives to solve problems observed by the users.

A system, method, and computer program product assist a technician in troubleshooting an aircraft auxiliary power unit (APU). A portable computer is couplable of download the fault data captured in a memory of the ECU. The fault data corresponds to one or more instances of APU failure. The computer is further programmed to compare the fault data to predetermined fault patterns stored in a database. Each record of the database has one of the fault patterns, a corresponding fault indication, and a corresponding service recommendation indication. The computer is further programmed so that when a record in which the fault pattern matches the fault data is found, the corresponding fault indication and service recommendation are retrieved from the database and provided to the technician via the computer's display or other suitable output mechanism.

In many systems, computer software is a common source of failure or instability. The proliferation of multiple interacting applications from several different software vendors leads to “emergent” problems that are difficult or impossible to predict or prevent. The problems are compounded by the use of networks, which introduce the added complexity of applications on multiple machines interacting in complex scenarios. As a result, many business and home users are hindered from using software-based systems to their fullest potential. More effective use of these systems can be aided by an application which can provide services for monitoring, diagnosing, and solving problems that occur in the operation of the machines at a customer facility. In the system described herein, a database contains entries with executable code that can make use of these services in order to monitor, diagnose, and solve specific problems. Each entry in the database addresses a specific problem. The executable code is designed to isolate and recognize the problem, and then implement a fix or workaround for that problem. The executable code is designed to completely automate the entire process of detection and resolution of the problem. Further, manual intervention may be employed to complete the diagnosis or solution.

One embodiment of the present invention provides a system that identifies a failure mechanism for a component. The system first constructs a library of failure signatures from a set of components, wherein each failure signature in the library characterizes a known failure mechanism associated with a component in the set of components. Next, the system receives a telemetry signal which is measured from a component under surveillance. The system then determines if there is an anomaly in the telemetry signal. If so, the system performs pattern-matching operations between the telemetry signal and failure signatures in the library. Next, if a match is found, the system identifies the failure mechanism for the component under surveillance based on the matching failure signature.

In many systems, computer software is a common source of failure or instability. The proliferation of multiple interacting applications from several different software vendors leads to “emergent” problems that are difficult or impossible to predict or prevent. The problems are compounded by the use of networks, which introduce the added complexity of applications on multiple machines interacting in complex scenarios. As a result, many business and home users are hindered from using software-based systems to their fullest potential. More effective use of these systems can be aided by an application which can provide services for monitoring, diagnosing, and solving problems that occur in the operation of the machines at a customer facility. In the system described herein, a database contains entries with executable code that can make use of these services in order to monitor, diagnose, and solve specific problems. Each entry in the database addresses a specific problem. The executable code is designed to isolate and recognize the problem, and then implement a fix or workaround for that problem. The executable code is designed to completely automate the entire process of detection and resolution of the problem. Further, manual intervention may be employed to complete the diagnosis or solution.

An electronic arrangement for analyzing a model-based testing scenario relating to a system under test (SUT), includes a model handler entity for obtaining and managing model data indicative of a model intended to exhibit the behavior of the SUT, a test plan handler entity for obtaining and managing test plan data indicative of a number of test cases relating to the model and expected outcome thereof, a test execution log handler entity for obtaining and managing test execution log data indicative of the execution of the test cases by the test executor and / or SUT, a communications log handler entity for obtaining and managing communications log data indicative of message traffic between the test executor entity and SUT, and an analyzer entity for detecting a number of failures and their causes in the model-based testing scenario on the basis of model, test plan, test execution log and communications log data.

Methods, systems, and articles of manufacture consistent with the present invention train a real-time health-monitor for a computer-based system while simultaneously monitoring the health of the system. A plurality of signals that each describe an operating condition of a subject data processing system are monitored in real-time. It is determined whether there is a problem with the subject data processing system by comparing at least one of the monitored signals to a corresponding at least one signal in a known signal dataset. The known signal dataset includes a signal value for at least one signal that describes an operating condition of one of a plurality of subject data processing systems. A new signal dataset having an entry for each monitored signal and a corresponding signal value is prepared simultaneously with monitoring the plurality of signals and determining whether there is a problem.

A systematic process is disclosed for isolating customer issues with computer systems and implementing solutions to those issues. A basic troubleshooting methodology provides a systematic approach by which a technician can efficiently define and resolve a customer's problem. The methodology seeks to identify the symptoms and scope of a customer's problem and provides a series of interrelated and layered steps for arriving at a solution to the problem.

A test quality evaluating and improving system has a fault-layout information link section which creates a weighted fault dictionary by correlating a layout element related to an undetected fault, out of faults corresponding to a specified fault model and occurring in a circuit to be tested, with the undetected fault as a weight of the undetected fault which cannot be detected by a test pattern for testing the faults; a test quality measure calculating section which multiplies the weight of the undetected fault, the failure mode-fault model correlation factor for correlating the failure mode of the layout element and the fault model, and the failure occurrence rate of each layout element, and outputs an obtained product as a failure remaining rate of the test pattern; a determining section; and a test point inserting section.

The present invention provides a four-variable model based system safety analysis method. The four-variable model based system safety analysis method comprises the following steps: a. monitoring, analyzing and determining a monitored variable, a controlled variable, an input variable and an output variable of a system; b. based on the monitored variable, the controlled variable, the input variable and the output variable, establishing a four-variable model of the system, and using a four-variable model to carry out demand analysis on the system; c. establishing a semantic mapping rule between the four-variable model and an AltaRica model, and designing the AltaRica model with flow variables and state variables; and d. using analysis tools of the AltaRica model to establish a fault tree of the system, and carry out safety validation. The four-variable model based system safety analysis method disclosed by the present invention can better reflect system functions and physical architectures, so that safety and reliability analysis of the system can be carried out in a more facilitated manner.

Under the present invention, a configurable dictionary is provided. The configurable dictionary includes a set of objects that identify: (1) attribute conditions of the computer system to be checked; (2) associated locations within the computer system for checking the attribute conditions; and (3) actions to be taken based on results of the checks for the computer system. The health of the computer system is checked by processing the set of objects in the configurable dictionary. Specifically, the attribute conditions identified in the configurable dictionary are checked at their associated locations, and any necessary action are implemented.

An apparatus includes an input that receives a continuous function chart for each component of the investigated safety-critical system. A processor generates a corresponding component fault tree element. Inports and outports of the component fault tree element are generated and interconnected based on unique names of the inputs and outputs of the corresponding continuous function chart of the respective system component. Input failure modes and output failure modes are generated based on generic mapping between connector types of the continuous function chart and failure types of failure modes of the component fault tree element. The input failure modes of a component fault tree element are connected to output failure modes of the component fault tree element via internal failure propagation paths based on interconnected function blocks of the continuous function chart of the respective system component. An output outputs the generated component fault tree of the safety-critical system.

A method and apparatus is provided for use in resolving problems in an event managed IT or computer system that has very unique characteristics. When the system operator is alerted to a problem, the workflow of the operator is captured, as the operator carries out a succession of corrective actions to fix the problem. The captured workflow is then stored with a signature identifying the problem, for use if a similar problem occurs later. One embodiment of the invention discloses a method that comprises identifying a system problem having a characteristic signature, and performing a succession of steps to fix the problem. A record is made of the succession of steps as they are respectively performed, and the succession of steps is stored together with the problem signature. The signature can identify a similar problem in the future, which can then be fixed using the succession of steps.

One embodiment of the present invention provides a system that identifies a failure mechanism for a component. The system first constructs a library of failure signatures from a set of components, wherein each failure signature in the library characterizes a known failure mechanism associated with a component in the set of components. Next, the system receives a telemetry signal which is measured from a component under surveillance. The system then determines if there is an anomaly in the telemetry signal. If so, the system performs pattern-matching operations between the telemetry signal and failure signatures in the library. Next, if a match is found, the system identifies the failure mechanism for the component under surveillance based on the matching failure signature.

The invention discloses a fault positioning method and device and a storage medium. The method comprises the following steps: in response to a fault positioning request, under a Blackcat architecture,injecting a fault monitoring code into a service application in a link to be monitored through a fault link Agent; receiving monitoring data reported by the business application injected with the fault monitoring code; and analyzing the monitoring data to obtain a fault positioning result. According to the embodiment of the invention, based on the Blackcat architecture, decoupling of the operation and maintenance code for fault monitoring and the application service code can be realized, so that zero-intrusion operation and maintenance are realized, and the security of the application serviceis improved; by analyzing the monitoring data reported by the business injected with the fault monitoring codes, the monitoring data can be obtained, a fault positioning result can be obtained, and quick and accurate fault positioning can be realized.

A method of identifying faults in an aircraft includes retrieving a first set of data from the aircraft, establishing a list based on analysis of the obtained first set of data, ranking the members of the list of potential faults and pruning the list based upon at least one additional set of data. Members are pruned until a predetermined criterion is met.

The method includes confirmation policy processing for acquiring confirmation item information indicating a condition every confirmation item to distinguish a cause at time of fault occurrence, reading presumed cause information indicating a presumed cause corresponding to each pattern in the confirmation item information when a confirmation item value of a confirmation object satisfies a condition in the confirmation item information, and acquiring a presumed cause corresponding to the confirmation item information of the condition; execution policy processing for executing contents of a measure against the presumed cause read from execution policy information; evaluation policy processing for acquiring evaluation item information to evaluate a measure result, judging an effect of the executed measure based on whether an evaluation item value of an evaluation object is in a stable operation range, and storing a judging result; and controlling an autonomous policy cycle for conducting the confirmation, execution and evaluation policy processing.

Methods and systems are provided for detecting temporal relationships that are uniquely associated with a selected root cause. The method comprises identifying error codes associated with a root cause, wherein each error code comprises a plurality of event indicators and temporal data describing when the event indicator was generated, analyzing each of the error codes to detect a combination of event indicators that is associated with error codes corresponding to the selected root cause and to a non-selected root cause, and detecting a temporal relationship involving the combination of event indicators, wherein the temporal relationship is uniquely associated with error codes corresponding to the selected root cause.

Systems and methods are provided for automated analog fault injection including creating a list of fault models for injection to an analog circuit, adding a first fault placeholder to the analog circuit, running fault simulations by replacing the first fault placeholder with a first fault model from the list of fault models, and determining whether the first fault model is detected.

Methods and systems are provided for detecting temporal relationships that are uniquely associated with a selected root cause. The method comprises identifying error codes associated with a root cause, wherein each error code comprises a plurality of event indicators and temporal data describing when the event indicator was generated, analyzing each of the error codes to detect a combination of event indicators that is associated with error codes corresponding to the selected root cause and to a non-selected root cause, and detecting a temporal relationship involving the combination of event indicators, wherein the temporal relationship is uniquely associated with error codes corresponding to the selected root cause.

A system and method for diagnosing a failure in an electronic device. A disclosed system comprises: a defect table that associates previously studied features with known failures; and a fault isolation system that compares an inputted set of suspected faulty device features with the previously studied features listed in the defect table in order to identify causes of the failure.

The invention provides an intelligent maintenance system based on a WMI technique and a decision tree classification algorithm. The intelligent maintenance system comprises a client, a control terminal, a log server and a database server, wherein the client and the control terminal achieve data communication with the log server through the Internet, and the log server is in communication connection with the database server. According to the intelligent computer accessory maintenance system based on the WMI technique and the decision tree classification algorithm, an application directly acquires error information of a computer accessory or manual input error information of a user through the WMI technique, the client accesses the server through the Internet, and the server accurately acquires a wrong solution through the decision tree algorithm and feeds the solution to the client; meanwhile, after the user solves a failure of the computer accessory, the server automatically generates a maintenance log file for being used in next-time maintenance, the precise solution is provided for maintenance of the computer accessory, and meanwhile extensive expenditure is saved.

A process for a prognosis of faults in electronic circuits identifies parameters of a circuit under test. An upper and a lower limit is determined for one or more components of the circuit under test. A population of faulty and non-faulty circuits are generated for the circuit under test, and feature vectors are generated for each faulty and non-faulty circuit. The feature vectors are stored in a fault dictionary, and a feature vector for an implementation of the circuit under test in a field operation is generated. The feature vector for the implementation of the circuit under test in the field operation is compared to the feature vectors in the fault dictionary.

The invention provides a server DC Cycle test method and system based on python. The method is based on a python program; an IPMI (Intelligent Platform Management Interface) tool is called to obtain state information of each hardware of the server, a BMC black box log is sent to a specified mailbox through a mail, the BMC black box log is analyzed, the BMC black box log is matched with contents ina rule database to obtain a fault type, and a fault position is positioned, thereby realizing a DC Cycle test. According to the invention, the startup and shutdown operation of the target server canbe realized without additional hardware equipment; a one-to-many control scheme can be realized through the remote server, collection of log and printing system information and preprocessing of the information in the test process are automatically completed, and in addition, research and development personnel can be timely informed of error information, so that more fault information can be conveniently collected on site.

An embedded system (100) comprising a microprocessor module (10) connected to a remote master controller (30) is described, wherein diagnostic code is not loaded into the microprocessor module (10) at normal execution time, but is dynamically loaded from the remote master controller (30) when a fault is detected. The diagnostic code may be used to “work around” fault conditions, or to further diagnose the fault to a more specific level.

The method includes confirmation policy processing for acquiring confirmation item information indicating a condition every confirmation item to distinguish a cause at time of fault occurrence, reading presumed cause information indicating a presumed cause corresponding to each pattern in the confirmation item information when a confirmation item value of a confirmation object satisfies a condition in the confirmation item information, and acquiring a presumed cause corresponding to the confirmation item information of the condition; execution policy processing for executing contents of a measure against the presumed cause read from execution policy information; evaluation policy processing for acquiring evaluation item information to evaluate a measure result, judging an effect of the executed measure based on whether an evaluation item value of an evaluation object is in a stable operation range, and storing a judging result; and controlling an autonomous policy cycle for conducting the confirmation, execution and evaluation policy processing.

The invention discloses a complex electronic system fault diagnosis method based on a fault propagation network, and the method comprises the steps: building a fault propagation directed graph of a complex electronic system through employing a graph theory, and achieving the storage and hierarchical optimization of the fault propagation directed graph through employing a matrix theory; simplifyingthe fault propagation network according to the fault phenomenon nodes; establishing a candidate fault source set by calculating the information output intensity and the working intensity of the nodes; and finally, calculating the comprehensive influence degree of the fault source by using an entropy weight method so as to determine a fault source therefrom. According to the invention, a fault propagation network is established based on a physical structure of a complex electronic system; the modeling problem of fault diagnosis of a complex electronic system is solved; design indexes such as the information output quantity and the fault-free working time of system components are utilized to solve the quantification problem of the system fault propagation influence relation, meanwhile, dependence on fault historical data is avoided, a fault source can be rapidly recognized and positioned, and the fault diagnosis capacity of a complex electronic system is improved.

Systems and methods are provided for an automated analog fault injection including creating a list of fault models for injection to an analog circuit, adding a first fault placeholder to the analog circuit, running fault simulations by replacing the first fault placeholder with a first fault model from the list of fault models, and determining whether the first fault model is detected.

A system for automated and intelligent error correction within an electronic blockchain ledger is provided. The system may analyze unformatted / unstructured blockchain event logs using machine learning algorithms in order to identify and label the errors within the event logs. Based on the identified errors, the system may use predictive analysis in conjunction with error or rule repositories and / or machine learning to identify potential solutions to the identified errors. Once the potential solutions have been identified, the system may automatically attempt to rectify the blockchain transaction errors using the potential solutions. The system may further comprise trend / correlation analyses and reporting functions regarding various metrics and may output said metrics in various accessible formats.