133 results about "Multiple failure" patented technology

The described embodiments provide a processor (e.g., processor 102) for executing instructions. During execution, the processor starts by transactionally executing instructions from a protected section of program code. The processor then encounters a transactional failure condition while transactionally executing the instructions from the protected section of program code. In response to encountering the transactional failure condition, the processor enters a transactional-scout mode and speculatively executes subsequent instructions in the transactional-scout mode.

An archival storage cluster of preferably symmetric nodes includes a data protection management system that periodically organizes the then-available nodes into one or more protection sets, with each set comprising a set of n nodes, where “n” refers to a configurable “data protection level” (DPL). At the time of its creation, a given protection set is closed in the sense that each then available node is a member of one, and only one, protection set. When an object is to be stored within the archive, the data protection management system stores the object in a given node of a given protection set and then constrains the distribution of copies of that object to other nodes within the given protection set. As a consequence, all DPL copies of an object are all stored within the same protection set, and only that protection set. This scheme significantly improves MTDL for the cluster as a whole, as the data can only be lost if multiple failures occur within nodes of a given protection set. This is far more unlikely than failures occurring across any random distribution of nodes within the cluster.

A storage system 1 including multiple slots for loading a block I/O interface controller, a file I/O interface controller, and any other kinds of interface controllers that are combined freely. The storage system 1 includes a management table that manages fail-over-enabled devices by grouping those devices in accordance with the interface type and the domain to which each device belongs; an information table that directs a fail-over procedure; and fail-over controlling means that takes over the processing of a failed interface controller belonging to a fail-over-enabled group. The fail-over system offers several modalities for monitoring failures, selecting takeover controllers and restoring functionality. Storage system 1 solves conventional problems by providing a system that can mount a plurality of file systems, and that resists multiple failures detected in a fail-over server.

A method and system for efficiently provisioning a multiple service, multiple layer mesh network in a manner enabling restoration from multiple failures.

The invention provides a method for evaluating operating reliability of a multi-model integrated aero-engine under multiple failure modes. The method comprises the steps of analyzing the multiple failure modes, establishing a multi-failure mode analyzing model, establishing an alternative evaluation model, judging advantages and disadvantages of each model, establishing a multi-model integrated evaluation model, analyzing the influence from the multiple failure modes to the operating reliability of the aero-engine by applying a Bayesian model averaging method, and carrying out simulation calculation on the operating reliability of the aero-engine by adopting a MCMC (Markov Chain Monte Carlo) algorithm. According to the method provided by the invention, typical failure modes, performance degradation failure, structural strength failure and outburst failure are respectively analyzed, one optimal model is selected from multiple alternative models, multiple models are integrated in one framework by applying a multi-model integration technology for evaluating the operating reliability of the aero-engine, and the evaluation accuracy of the operating reliability of the aero-engine can be increased.

A method and computer program for efficient cell failure rate estimation in cell arrays provides an efficient mechanism for raising the performance of memory arrays beyond present levels/yields. An initial search is performed across cell circuit parameters to determine failures with respect to a set of performance variables. For a single failure region the initial search can be a uniform sampling of the parameter space and when enough failure points have been accumulated, a mean is chosen from the mean of the detected failure points. Mixture importance sampling (MIS) is then performed to efficiently estimate the single failure region. For multiple failure regions, a particular failure region is selected by varying the memory circuit cell parameters along a random set of vectors until failures are detected, thus identifying the boundary of the failure region of interest as the closest failure region. A new mean is chosen for MIS in conformity with the location of the detected boundary.

The invention provides a power grid fault diagnostic model and a diagnostic method thereof and belongs to the technical field of power grid fault diagnosis. A mathematical expression of the traditional fault diagnostic analytic model can be abstracted as the formula; analysis on the action state of protecting a switch is converted into description on the probability of protecting the switch; the description is information transmission uncertainty description based on an information theory; an objective function is established as an optimal solving function; mutual information between an information sink and an information source under every failure mode is calculated when multiple optimal solutions, namely multiple failure modes exist; corresponding failure modes are most likely to occur if the quantity of condition self-information is smallest; and a principle that the mutual information of the information sink and the information source is maximum is utilized to determine a fault sorting result when the plurality of condition self-information is similar. The power grid fault diagnostic model and the diagnostic method thereof have the advantages of enabling the uncertainty of fault diagnosis to be integrated in an analytic model, enabling the fault tolerance of the model to be improved and the dimension of the model to be greatly reduced, being high in diagnostic speed and diagnostic accuracy, being capable of being well applied to a scheduling terminal and playing a positive and important role in the field of the power grid fault diagnosis.

The procedure comprises using a pre-planned path restoration scheme for computing in advance, or pre-calculating, recovery paths for recovering failed working paths, and particularly comprises pre-calculating a set of recovery paths for each working path linking an origin node with a destination node, and simultaneously using the recovery paths of the set of recovery paths to try to communicate the origin node with the destination node, in case of one or more failures have been produced in the working path.

The system is arranged for pre-calculating a set of recovery paths for each working path and simultaneously using them to recover a working path failure, and is apt for implementing the procedure.

The invention discloses a non-probabilistic reliability optimization design method for a structural system. The non-probabilistic reliability optimization design method for the structural system comprises the following steps that (1) based on a safety factor design method, a design scheme of the structural system with a given safety factor is optimized; (2) based on quantitative results of uncertain sources in the structural system, dispersity of response of the structural system under multiple failure modes is obtained by an interval uncertainty analysis; (3) a non-probabilistic reliability index is introduced to calculate the reliability of the structural system under the multiple failure modes; (4) a non-probabilistic reliability optimization design model is established under the constraint of a non-probabilistic reliability or a given reliability of a safety factor scheme; (5) based on a conventional optimization algorithm to solve an optimization problem, the design scheme of the structural system with optimal reliability allocation is obtained. According to the non-probabilistic reliability optimization design method for the structural system, on the basis of ensuring the non-probabilistic reliability of the safety factor design scheme, the quality of the structural system is further reduced and the performance of the structural system is improved.

A computerized method for estimating reliability of a system at normal operating conditions. The computerized method includes enables of selection of a plurality of failure mechanisms FM_j of the system. The failure mechanisms FM_j are estimated to cause failures as time events during use of the system. The failure mechanisms FM_j are modeled by respective failure rate models. Failure rates are represented as matrix elements λ_ij which include respective adjustable parameters intrinsic to the failure rate models. Multiple test conditions TC_iare selected to accelerate the failure mechanisms FM_j. Batches i of the systems are tested during accelerated failure rate tests at the test conditions TC_i respectively.

The invention provides a spiral bevel gear long-life drive fatigue reliability design method based on grinding and heat treatment. The method includes the steps that 1, influence laws of grinding process parameters on gear surface roughness and residual stress are studied; 2, influence laws of heat treatment process parameters on gear surface hardness and depth of carburizing are studied; 3, influence laws of the gear surface roughness, the residual stress, the gear surface hardness and the depth of carburizing on all parameters in a spiral bevel gear fatigue contact and fatigue bending strength and stress calculation formula are studied; 4, influence laws of the grinding and treatment process parameters on all the parameters in the spiral bevel gear fatigue contact and fatigue bending strength and stress calculation formula are obtained; 5, distribution laws of the heat grinding and treatment process parameters are studied; 6, a reliability calculation program under Monte Carlo method spiral bevel gear multiple failure modes is compiled, and the grinding and treatment process parameters serve as input for spiral bevel gear reliability calculation. The spiral bevel gear long-life drive fatigue reliability design method has important significance in practical application of gears.

A time simulation technique for determining the service availability (or unavailability) of end-to-end network connections (or paths) between source and sink nodes is disclosed. The failure could be either a single failure mode or a multiple failure mode. The time simulation apparatus includes a network representation having pluralities of nodes, links and connections; each plurality having various attributes such as relating to failure, recovery and repair mechanisms. The apparatus further includes a mechanism for selecting one instance from each of the pluralities of nodes, links and connections based on the attributes; a failure/repair module for performing a simulated failure and repair on the selected instances as appropriate; a mechanism for selecting a connection between source and sink nodes; and an arithmetic mechanism for calculating availability of the selected connection.

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.

The invention discloses a method for assessing the reliability of a main shaft of a kilometer deep shaft hoist by considering multiple failure modes. The method comprises the steps of firstly, building a parametric three-dimensional model of the main shaft according to the structure size of the main shaft; secondly, according to a probability attribute of a random variable of the main shaft, establishing a sampling matrix of the random variable, and solving strength and stiffness response of the main shaft under the sampling matrix by using a finite element method; thirdly, establishing an explicit function between the response and the random variable matrix by using a neutral network method, and according to strength and stiffness design criteria, establishing explicit functions in strength and stiffness failure modes; fourthly, calculating two failure probabilities by using a saddle point approximation method; and finally, building a joint failure probability model between the two failure modes through a Clayton copula function, and solving system reliability under joint failure by using an interval reliability method. According to the method, the probability correlation between strength failure and stiffness failure is considered, so that the system reliability of the main shaft of the hoist can be assessed more accurately and reasonably.

The invention provides a processing method after multiple failures in random access. The method comprises that a connection request is established, and a random access process is initiated according to the connection request; if the random access process fails, one is added to the failure times; and when the failure times reach preset failure times and a signal to noise ratio (SNR) is beyond a preset SNR range, a base station cell corresponding to a present position is added to a base station cell forbidden list, and reselection of another base station cell is initiated to search a proper basestation cell for residence again. The invention also provides a processing device after multiple failures in random access. The processing method and device can avoid a mobile terminal, implementingservices, from residing certain base station cell for random access when random access fails due to interference, the mobile terminal can be rapidly switched to the other base station cell for the random access process, and thus, the mobile terminal can obtain normal services rapidly.

An improved register allocation technique is provided. An interference graph coloring is attempted multiple times prior to spilling one or more nodes. Each node has a spill cost derived from the time it takes to store and recall the variable's data combined with how often the compiler thinks the variable is needed. Similarly, each coloring failure has a spill cost which is the accumulation of the spill costs of the remaining un-colorable nodes. If any solutions are found, the process is complete. If only failures are found, the cheapest node(s) to spill is evaluated based on the multiple failures. In one embodiment, the cheapest node of the cheapest failure is spilled. In another embodiment, the cheapest node is evaluated across all failures. This process is repeated until a solution is found (all nodes are colored or spilled).

The invention provides an electric vehicle high-pressure electrical failure dynamic simulation test system which comprises a failure command output unit which is used for sending a failure command, multiple failure injection units, multiple signal detection units, a signal record wave unit, a data analysis processing unit, a data output unit, an energy simulation unit and a working condition simulation unit. The multiple failure injection units are injected simultaneously or in a delay mode according to the failure command. The multiple signal detection units are used for collecting electrical parameters and non-electrical parameters of a to-be-detected position. The signal record wave unit is used for recording electrical parameters and non-electrical parameters of the multiple detecting units on multiple failure points in the whole process of failure positions in real time. The data analysis processing unit is used for conducting analysis processing of recorded electrical parameters and non-electrical parameters. The data output units are used for transmitting or printing or outputting data or graphics in the data analysis processing unit. The energy simulation unit is used for simulating fuel cell stack to supply direct current by a program control unit (PCU) controller. The working condition simulation unit is used for simulating actual working conditions of a vehicle. The electric vehicle high-pressure electrical failure dynamic simulation test system is capable of meeting a whole vehicle electrical failure dynamic simulation test of all electrically driven vehicles.

Provided is a method for verifying damage mechanisms of a high-temperature resistant composite-material structure under multiple failure modes. Firstly, damage mechanism models of a high-temperature resistant composite material under various failure modes are established; then, according to the damage mechanism models, a high-temperature resistant composite-material component damage analyzing method is established, component damage responses are analyzed, the component damage analyzing method is corrected by real-object tests, then, a component damage response law is obtained, through the combination of ideal connection relations among components, a finite element method is adopted to analyze structural-component damage responses under different load working conditions, the connection relations among the components are corrected by real-object tests, the finite element method is adopted to analyze damage responses of assemblies, segments and flying machines according to corrected connection relations among the components and the component damage response law, and virtual-test verification is finished. According to the method for verifying the damage mechanisms of the high-temperature resistant composite-material structure under the multiple failure modes, a multi-grade multi-correction virtual-test verification method of a composite-material structural component is achieved, the verification cycle and the cost are reduced, and the verification accuracy is improved.

The invention provides a method for analyzing reliability of a mechanical structure with an effect of coupling multiple failure mechanisms. Simultaneous actions and interaction of the failure mechanisms can be considered, and the reliability, reliable service life and sensitivity of the structure are analyzed. The method mainly comprises five steps: determining a damage equivalence main parameter,and showing the actions of the multiple failure mechanisms by using the same parameter by taking damage equivalence as a basic principle; constructing a damage equivalence physical model, and establishing a damage superposition model or a correction factor model according to difference of the contribution ratio of the failure mechanisms; carrying out parametric simulation, controlling the geometrical shape, material attribute, load and the like of the structure by adjusting parameters, and automatically reconstructing the damage equivalence physical model; analyzing randomness of the failurephysical model, considering parameter randomness, and analyzing the reliability, reliability sensitivity, reliable service life and the like of the structure with the aid of an improved primary reliability method and the like; and correcting a randomness result of the failure physical model by fully using data in a product development and use process on the basis of Bayes model randomness correction so as to improve analysis precision.