192 results about "Functional failure" patented technology

The invention provides a driver for driving a plurality of light-emitting components and display equipment. According to the embodiment of the invention, a current matching function, a phase shift PWM (Pulse-Width Modulation) dimming function and multiple fault detection and protection functions are integrated into the driver. The embodiment of the invention also provides a high-precision matching circuit, a phase shift PWM dimming circuit and a multifunctional fault detection and protection circuit which are suitable for the driver. The scheme can ensure that the emitted light of the light-emitting components maintains uniform and consistent.

A Programmable Logic Device (PLD) is provided with configuration memory cells displaying a superior soft error immunity by combating single event upsets (SEUs) as the configuration memory cells are regularly refreshed from non-volatile storage depending on the rate SEUs may occur. Circuitry on the PLD uses a programmable timer to set a refresh rate for the configuration memory cells. Because an SEU which erases the state of a small sized memory cell due to collisions with cosmic particles may take some time to cause a functional failure, periodic refreshing will prevent the functional failure. The configuration cells can be DRAM cells which occupy significantly less space than the SRAM cells. Refresh circuitry typically provided for DRAM cells is reduced by using the programming circuitry of the PLD. Data in the configuration cells of the PLD are reloaded from either external or internal soft-error immune non-volatile memory.

The invention provides a method for diagnosing a fault by a functional fault directed graph, which can be applied to the field of fault diagnosis for some systems of aircrafts (such as an air source system, an anti-icing system and an air-conditioning system of an airplane gas path). The method comprises the steps of: decomposing a diagnosis object system to determine component relation and build a system structural model, confirming the corresponding input and output based on the component functions, determining the component fault model, analyzing fault propagation path and influence relation, setting test points and test information of a sensor, monitoring parameter variation that indicates the potential fault, forming an FF-SDG model, and at last, searching the potential fault source by a hierarchical policy inference method based on the FF-SDG model to perform fault diagnosis. The method can quickly and effectively find out the system fault source of the aircraft system, discover the fault cause, and make up shortage of the fault diagnosis technique based on manuals and cases when some fault cannot be predicated and the knowledge is difficult to be acquired by domain experts.

A method of inspecting full-chip mask data to locate layout pattern design induced defects and weak points that cause functional failure or performance degradation for integrated circuits (ICs) manufactured in subwavelength technology. Given the pre-OPC integrated circuit design layout data, the method of present invention refers to available post-OPC data or generates post-OPC data condition to do the inspection based on the modeling of integrated circuit wafer patterning. Build-in direct checks of specified electrical functional defects and a multilayer pattern-centric approach are used to improve the accuracy and performance. A technique of adaptive search is used to speed up the critical dimension search during the process of optical proximity correction data verification. A defect synthesis capability is supplied for defect disposition to facilitate systematic correction and prevention of the defects in integrated circuit layout design.

The present invention relates to a method for realizing automatic work unit in EPON which comprises procedures of OLT networking, ONU electrify automatic warrant/configuration, ONU networking, HG networking, speech port activation, disassembly, speech port deactivation, process of ONU port connecting equipment changing, and ONU replacing. The invention also provides a system of realizing automatic work unit in EPON. Workload of network maintenance center staff can be reduced effectively, and business establishment efficiency can be improved through the invention. Meanwhile, ONU automatic discovery, authorization and networking, automatic acquisition of configuration, automatic recognition of ONU externally hanging household gateway apparatus, ONU disassembly, household gateway disassembly, ONU cleft grafting, log management, and functional failure management can be realized through the method.

This invention presents a method of constructing a storage network system that generates and stores information at the adoptive rate that matches the wired/wireless network data transfer rate, and automatically recovers lost data due to physical/functional failure of storages. This storage network system parses data and distributes parallelly to multiple storages for the purpose of reducing the storage access time. The amount of the storage access time reduction is inversely proportion to the number of storages that are accessed simultaneously.

This proposed storage network system also recovers lost data by utilizing the error correction information in the parsed data.

The invention provides a leakage protector and a leakage protection function detection method. The leakage protection function detection method comprises: when a leakage protector is set in an automatic detection state, periodically determining whether the present timing time reaches preset time span; and under the condition that the present timing time reaches the preset time span, the leakage protector automatically simulating to generate leakage current in a power grid, measuring the leakage current in the power grid, and determining whether the leakage current is larger than a preset leakage current threshold value, and under the condition that the leakage current is generated in the power grid by simulation and the leakage current in the power grid is not larger than the preset leakage current threshold value, outputting a leakage protection function fault signal or outputting a breaker breaking control signal. Thus, the leakage protector can be detected at regular time without manual operation, so as to ensure the leakage protection performance of the leakage protector, and effectively prevent various risks and loss caused by failure of the leakage protector.

The present invention relates to a safety system for use in protection functions, which system prevents that an error in one control circuit do not result in a function failure by using supervising functions comprising at least two sensors connected to a monitoring unit which receives and processes information about a position of a machine from both sensors and compares the results with stored values and a number of input conditions for the monitoring unit, whereby said sensors comprise means for generating data with respect to a position of a machine movement and said monitoring unit comprises means, which with respect to the result of the comparison is arranged to stop a machine movement if conditions for a stop are fulfilled. The monitoring unit is arranged to compare values from said sensors and when detecting deviating value from either one of sensors detecting a functional error with the sensors.

The invention relates to an equipment state identification method based on a Markov model and a probability network. The state of equipment is identified using a hierarchical hidden Markov model (HHMM), and the identification result can be calculated more accurately in the form of probability. In view of the problem that the model parameters exponentially increase with the increase of equipment states, a dynamic Bayesian network is introduced to reduce the computational complexity of the model and shorten the inference time. HHMM is expressed as a dynamic Bayesian network. The health state of equipment is identified with the help of a preprocessed vibration signal. In view of the limitation of the existing state classification method, a state number optimization method based on a K-means algorithm and a cross verification method is presented. Through the state number optimization method, the stages in the process of fault development can be divided more accurately to lay a foundation for the accurate identification of equipment states. The change of the health state can be detected before functional failure, and the remaining life of equipment can be predicted using a trained model according to the change observed in the current behavior.

The invention discloses a method for intelligently diagnosing faults of an electricity information collection terminal, comprising the following steps of: catching, recording, analyzing and translating terminal communication messages; customizing a terminal diagnosing solution; loading in a diagnosing knowledge base according to the terminal diagnosing solution and measuring terminal data; executing fault diagnosing analysis to obtain the diagnosing result; and providing the solution. The terminal fault diagnosing method provided by the invention can be used for quickly and automatically diagnosing the functional faults of the terminal on line, and can ensure that the faults of the terminal can be effectively solved in time. The invention further discloses a system for intelligently diagnosing faults of the electricity information collection terminal, comprising a diagnostic subsystem, wherein the diagnostic subsystem comprises a terminal access unit, a protocol analyzing unit, an intelligent diagnosing unit and an application service unit. The terminal fault diagnosing system provided by the invention realizes that the faults of the terminal can be quickly and automatically diagnosed in batch on line and error setting of terminal parameters is corrected, thereby improving terminal fault diagnosing and analyzing efficiency, and reducing on-site terminal maintenance workload.

The invention discloses a mechanical device programmed frequency amplitude modulation (PFAM) structural decomposition method. The method comprises the following steps: building a part spectrum, a working condition spectrum, a load spectrum, a function spectrum and a fault spectrum; determining sub-spectrum element functions, and establishing a functional matrix to achieve spectrum -function mapping; determining a corresponding relation between functions and actions to achieve the function-action mapping; and determining infinitesimal corresponding to the actions to achieve action-infinitesimal mapping. According to the method, engineering problems of complex structure, varying working conditions, varying loading, multiple failure modes of a complex mechanical device are solved to enhance quality control and the reliability, and loads and functional failure in operation of the device can be subject to dynamic analysis, and a theoretical basis for improving and enhancing major quality features such as accuracy, accuracy service life and reliability of the complex device is provided.

In addition to setting tasks and maintenance tasks for each portion of a storage apparatus, for which ease of operation is demanded, a storage system enables notification of a monitoring and maintenance terminal, for which high reliability is demanded, of fault information, without detracting from reliability. The functions of a SVP 23 and SVP 25 are functions to monitor the storage apparatus 3, and functions for notification to a remote maintenance center terminal 13 or similar, for which high reliability is demanded. The notification function involves notification to a remote maintenance center terminal 3 or similar of a fault or other event in the storage apparatus 3, detected by the monitoring function. The functions of the SVP 23 and SVP 25 are limited to functions for notification of faults in the storage apparatus 3, notification of information other than faults, and SNMP functions, so that the volume of the OS and other programs installed on the SVP 23 and SVP 25 is reduced.

The invention relates to a high-voltage system (1) for a motor vehicle (26), comprising a high-voltage battery (2) that supplies at least one load (4), in particular an inverter (5), by means of lines (3), wherein at least one switching means (8, 9, 11) is provided in order to disconnect the high-voltage supply, a capacitor (7) connected in parallel with the load (4), and a discharge circuit (12) for discharging the capacitor (7), said discharge circuit having a discharge resistor (13) and a discharge switching means (14) that closes the discharge circuit, wherein a diagnostic device having a measuring device (16) for measuring a voltage course that describes the voltage course at the capacitor (7), in particular during the discharge process (17), and a control device (15) for evaluating said voltage course in regard to a malfunction of the high-voltage system (1) is provided.

A non-volatile memory device that can prevent a functional failure in the programming process of a cell from occurring in an overwriting process, by stopping a current path from being formed through the sources of a previously programmed cell and that of a currently selected cell which is to be programmed. The present device includes a modified structure for a memory cell of an EEPROM device. The present device includes an additional overwrite transistor to separate a sense transistor from a source in the region of an active area which is expanded toward the source of the sense transistor. The overwriting transistor includes a gate formed in a single layered structure of a second conductivity layer, integrally connected with the second conductivity layer of the sense transistor. Further, a second gate insulating layer is formed between the source and the sense transistor on the substrate. Accordingly, an electric path is prevented from forming through sources of the previously programmed cell and that of the selected cell to be programmed and, in turn, to prevent the overwriting process from having any programming failure.

The invention belongs to the field of petroleum chemical industry and discloses a refinery device operation cycle expert decision-making system and method based on reliability analysis. According to the decision-making method, based on function, function fault, fault mode and fault result analysis of a refinery device, the probability statistics is applied to obtain the safety and reliability dataof the refinery device, and a refinery device system analysis platform is established; the states of each system, equipment and part of the refinery device are judged, and a scheme with the need of preventative maintenance, regular maintenance, improvement or redesign is determined; and equipment maintenance, inspection, an inspection cycle and means are determined further, and finally a practical, reasonable and scientific maintenance plan or maintenance program or maintenance strategy package is made. Through establishing a data information analysis platform of equipment basic data and maintenance data, a refinery device long cycle data analysis model is constructed, and a long cycle dynamic maintenance strategy task package suitable for the device is formed.

A magnetic power connector and an electronic system using a magnetic power connector are disclosed, wherein a magnetic element of the magnetic power connector is magnetically attracted to a matching magnetic connector to ensure a stable contact. In addition, the electrical conductive path created between the contact elements does not pass through any elastic elements, thereby avoiding heating and improving the lifespan of the elements. Furthermore, sealing can be disposed in the gaps between the connector elements to make the connector waterproof. In addition, a trigger signal can be generated by establishing an electrical connection between a signal contact element and the conductive element in the magnetic power connector so as to achieve the purpose of identification or control, thereby avoiding the functional failure caused by the damage of the contact element of the matching magnetic connector.

A sense amplifier circuit with faster sensing speed and improved insensitivities to fabrication process variations (i.e., eliminated functional failures) is provided herein. According to one embodiment, the sense amplifier circuit associated with a row of memory cells within a memory device may include a charging portion, which is coupled for receiving a reference voltage that is supplied to at least one additional sense amplifier circuit within the memory device. The reference voltage is provided by a current reference generator, which is coupled to the sense amplifier circuit(s) for detecting: (i) a maximum amount of current that can pass through one compare stack within the memory cell array, or (ii) a difference between the maximum amount of current and the current contribution of an n-channel current source within the sense amplifier circuit. A memory device and method of operating one embodiment of the improved sense amplifier circuit are also provided herein.

The invention discloses a fault diagnosis capability analysis method based on a hybrid diagnosis Bayesian network, and relates to the technical field of fault diagnosis methods. The method comprises the following steps: performing fault probability correlation correction: performing fault probability correlation correction on a component based on two criterion selection of whether reliability datais deficient and whether fault mode fault probability credibility is higher than a function fault probability; Establishing and reasoning a hybrid diagnosis Bayesian network model: selecting a construction mode of the hybrid diagnosis Bayesian network model based on a fault probability correlation correction result, and carrying out hybrid diagnosis Bayesian network model modeling and reasoning;Fault diagnostic capability indicator calculation. According to the method, the accuracy of fault diagnosis analysis modeling and the credibility of a testability index prediction result are improved.

A method for providing application functionality protection. The method includes accessing a distributed computer system having a cluster including a plurality of nodes, and receiving an indication of an application failure. The method further includes attempting to restore the application through a number of application restart attempts, and receiving an indication that the restart attempts have not restored the application. An image history is then accessed to obtain a last known good point in time image of the application. The application is restored in accordance with the last known good point in time image.