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

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.

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 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.

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 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.

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.