72 results about "Reliability methods" patented technology

The invention discloses an intelligent substation clock synchronization reliability method capable of improving network sampling. The method comprises the steps of selection of a master clock for an external time source, switching of the external time source and self-adaptation delay compensation between the master clock and an extenpasion clock. The method can achieves reliable switching of the external source of the clock and effectively solves the problem that source switching or loss of a part of the external source causes time signal instability and signal loss. In addition, the method can effectively improves the stability for a clock device to trace external source signals, the clock device can effectively select a reliable external source, abnormal work, caused by time abnormality of the external source, of the clock device is prevented, and the long-term stability of time output of the clock device is guaranteed. The method can further achieve main expansion time tick and finish self-adaptation delay compensation of a main expansion chain simultaneously and effectively improves the reliability and the high accuracy of output time of a clock system of a substation.

Methods for forming conductor contacts provide for etching through a capping layer located upon a conductor contact region within a substrate. A first pair of methods provide for etching through at least a lower thickness of the capping layer with other than a reactive ion etch to provide an exposed conductor contact region. A partially overlapping second pair of methods provides for converting at least an upper thickness of the capping layer to a converted material layer that is removed incident to providing an exposed conductor contact region. As adjunct to any of the methods, a liner layer is formed and located upon the exposed conductor contact region in absence of an undesirable reactive environment.

The invention discloses a high-reliability method for rapidly forecasting a rolling dynamic derivative of an aircraft. The high-reliability method includes the steps of generation of model surface grids and division of spatial grids, calculation of aerodynamic parameters under a rotating coordination system, and difference calculation of the rolling dynamic derivative. A calculation method for the aerodynamic parameters under the rotating coordination system includes (1), transforming a Navier-Stokes equation under an inertial system to the rotating coordinate system; (2), performing numerical solution on the transformed equation to acquire a flow field of each state; (3), acquiring aerodynamic force through surface integration of object-plane pressure and viscous stress, taking moment from the center of mass through surface force and integrating to acquire aerodynamic moment acting on the center of mass. The difference calculation includes calculating the aerodynamic force and the aerodynamic moment of a model at two different revolving speeds, and acquiring the rolling dynamic derivative of the model by a difference method. The method is high in reliability of calculation results, has a much smaller calculated amount as compared with a non-steady forced vibration method which is time-consuming for accurate solution, and can quickly forecast the rolling dynamic derivative of the aircraft in a highly reliable manner.

The invention discloses an electric energy meter failure rate assessment method. The method comprises the following steps of acquiring the failure data of an electric energy meter; selecting a corresponding B spline primary function order according to the failure data characteristics and the model complexity; selecting a corresponding likelihood function according to distribution of fault data ofthe electric energy meter, embedding a B spline function into the Bayesian model, and establishing a hierarchical Bayesian B spline model; after normalization processing is carried out on the effective data with the noise points removed, using the effective data as the input data of the model to train the model; according to the failure data of the electric energy meter, estimating the failure rate of the electric energy meter through the model, so that the problems that an existing data fusion reliability method is incomplete in analysis result, uncertain in model, prone to underfitting undersmall samples and the like, and the accuracy and comprehensiveness are difficult to consider at the same time are solved.

A method of forming a through-glass via hole involves providing a glass substrate having first and second substantially planar parallel surfaces; masking the first and second substantially planar parallel surfaces to form a via-patterned portion thereon; and etching the via-patterned portion on the first and second substantially planar parallel surfaces to form a first channel in the first substantially planar parallel surface and a second channel in the second substantially planar parallel surface. The first channel and second channel are substantially orthogonal or non-orthogonal to one another. The first channel and the second channel intersect to form a quadrilateral through-glass via hole having via openings at the first and second substantially planar parallel surfaces. A low cost, low complexity and high reliability method for producing a glass substrate having a plurality of through-glass via holes such that the glass substrate can be used, for example, as an interposer.

The invention provides an application stage virtualization high-reliability method and device. The method comprises the following steps that service state information requiring monitoring service in a virtual machine operation system is collected, and in addition, service state information requiring the monitoring service and having the abnormal service state is filtered out; the service state information of the service requiring the monitoring and having the abnormal service state is analyzed, a processing instruction relative to each service state is generated, and the processing instruction includes a plurality of parameters; an API (application program interface) corresponding to the name of the processing instruction is found, the API interface is called, the service name of the processing instruction parameters is loaded in, and the abnormal state restoration operation is completed. Compared with the prior art, the method and the device have the advantages that the high reliability is realized by aiming at the application service in a virtual machine, and the real-time high-reliability processing of the service during stop or pause due to non-physical fault is guaranteed, so that the uninterrupted operation of the service can be realized.

Methods to increase metal interconnect reliability are provided. Methods include forming a conformal barrier layer within an opening in a semiconductor device structure and forming a copper alloy material above the conformal barrier layer. Next, removing the copper alloy material that extends beyond the opening. Removing native oxide from a top surface of the copper alloy material. Further, annealing or applying a plasma treatment to the copper alloy material. Finally, forming a capping layer above the copper alloy material. Notably, near the top of the copper alloy material, smaller copper grain growth may be present. Furthermore, more non-copper alloy atoms are present near the top of the copper alloy material than the bulk of the copper alloy material.

The invention discloses a method for assessing quality of service of an A-GNSS server and a system thereof. The assessment is performed mainly beginning from the service availability, reliability andintegrity of the A-GNSS server, the support capacity of multiple auxiliary positioning technologies and the protocol support capacity. The method for assessing the reliability of auxiliary positioningdata of the A-GNSS server comprises the following steps: sending an auxiliary positioning request of a known positioning auxiliary result to an A-GNSS server through a positioning terminal virtual machine; judging whether a positioning auxiliary result fed back by the A-GNSS server is consistent with concerned data in the known positioning auxiliary result; and judging that the auxiliary positioning data provided by the A-GNSS server is reliable if the positioning auxiliary result fed back by the A-GNSS server is consistent with concerned data in the known positioning auxiliary result; or judging that the auxiliary positioning data provided by the A-GNSS server is unreliable if the positioning auxiliary result fed back by the A-GNSS server is inconsistent with concerned data in the knownpositioning auxiliary result. Through the method disclosed by the invention, the problem that the quality of service of the A-GNSS server cannot be intuitively judged at present is solved.

The invention discloses a non-probabilistic trusted Bayesian structure reliability method. The method comprises the steps: describing an interval variable through two parameters: an interval central value and an interval radius, and expressing the parameter through an interval; considering the limitation of the number of samples and the requirements of model updating, parameters are updated by introducing a Bayesian updating method so as to realize updating of a variable interval. In the parameter updating process, the confidence level is introduced, so that the reliability obtained through calculation has certain credibility. The non-probabilistic method provided by the invention is compared with a traditional confidence reliability method and a probabilistic trusted Bayesian reliabilitymethod with non-information prior distribution, and the feasibility and effectiveness of the method are verified. The reliability analysis method can be used for reliability evaluation of structural optimization design and structural safety in the future.

The invention discloses a method for identifying true and fake brewed soybean sauce. The method comprises the following steps: determining amino acid components in brewed soybean sauce, prepared soybean sauce and an acid hydrolyzed plant protein seasoning liquid sample, and carrying out clustering analysis on 18 types of characteristic amino acid components in each type of the soybean sauce to form a distance matrix D of each type of the soybean sauce; carrying out primary classification; and carrying out main component analysis to form a main component projection drawing, and adopting a clustering space distance judging method to judge. A distance matrix D classification method is combined with the clustering space distance judging method to establish an identification model for distinguishing the true and fake brewed soybean sauce, so that the identification of the true and fake brewed soybean sauce is realized; the amino acid components of a sample to be detected are determined through identification test and analysis; and the model is used for identifying the true and fake brewed soybean sauce. The method can detect the soybean sauce adulteration amount added with not less than 10% of acid hydrolyzed plant protein seasoning liquid and is the efficient and high-reliability method for identifying the true and fake brewed soybean sauce.