47results about How to "Reliable basis for judgment" patented technology

The present invention relates to a test method for testing fatigue characteristics of nanometer thickness films. The main practice of the present invention is as follows: an indentation device is utilized to continuously record the load F and displacement ht data of a nanometer thickness film in a fatigue test, and the numerical value of contact rigidity in every loading / unloading cycle; when thecontact rigidity drops continuously and rapidly, corresponding cycle number is judged as the fatigue life-span number of the film. The test method is simple to operate, accurate and reliable in test result, broad in applicability and capable of realizing the research on fatigue characteristics of various ultra-thin films, and can achieve the test effect and precision which macroscopic tests cannot achieve, so as to provide reliable basis for the research on the fatigue performance of nanometer thickness films.

The invention discloses a NAND flash memory error rate prediction method and system, belonging to the field of computer storage, comprising: obtaining M early interference features from historical data of NAND flash memory, and the original bit error rate corresponding to each early interference feature, and Pre-interference features and their corresponding original bit error rates are used as a prediction sample to obtain M prediction samples; the prediction samples are input into the trained error rate prediction model to predict the original bit error codes corresponding to N post-interference features Among them, the interference feature is the feature or feature combination that affects the original bit error rate of NAND flash memory; the error rate prediction model is a multi-input multi-output model, which is used to predict the later interference feature according to the previous interference feature and the corresponding original bit error rate The corresponding raw bit error rate. The invention can predict the error rate of the NAND flash memory, predict the change trend of the error rate of the NAND flash memory, and provide quantitative and reliable judgment basis for data storage safety.

The invention discloses a continuous annealing furnace gas cleanliness detecting system, which mainly comprises a furnace gas sampling master pipe, a gas pollutant collector branch and a metering and gas return master pipe, wherein the input end of the furnace gas sampling master pipe is communicated with the interior of an annealing furnace chamber through a pipeline, and the output end of the furnace gas sampling master pipe is connected with the input end of the gas pollutant gross collector branch through a pipeline and connected with the output end of a nitrogen blowing loop; the output end of the gas pollutant collector branch is connected with the input end of the metering and gas return master pipe through a pipeline; and the input end of the nitrogen blowing loop is communicated with a nitrogen station through a pipeline, the nitrogen blowing loop is connected in parallel on the pipelines of a gas distributor and an automatic switching valve of the furnace gas sampling masterpipe through two manual switching valves connected in series with the nitrogen blowing loop, and the output end of the metering and gas return master pipe is communicated with the interior of the annealing furnace chamber through a pipeline. The system can accurately detect pollutants in the furnace in time, and provides basis for improving product quality, reasonably arranging shutdown maintenance and clearing the furnace.

The invention relates to a detection system for detecting oil content in gas in a continuous annealing furnace on line. The system consists of a main analysis loop and a branch analysis loop, wherein the main analysis loop comprises a sampled gas cooler, a gas distributor, an automatic switching valve, a manual switching valve, a check valve, a water collector, a large particle filter, a pressuredetection instrument, a pressure signal conversion and display instrument, a gas circulating pump and a feedback gas drier, forms a close loop together with the annealing furnace and is used for collecting and feeding back gas; and the branch analysis loop comprises a chromatographic analyzer, a manual switching valve, a disperser and a waste discharge separator and is mainly used for the sampling and the waste gas exhaust of the chromatographic analyzer. By using the detection system, the gas pollution conditions in the furnace and the oil leakage conditions of equipment in the furnace can be mastered timely and accurately so as to provide possibility for observing the change of pollutants in the furnace in a production process transition process.

The invention discloses a feature extraction method for the early damage state of a rolling bearing. Firstly, the bias amount of the early damage signal of the rolling bearing is removed, and the variational mode decomposition method is used to perform adaptive decomposition processing on the vibration signal of the early damage state of the rolling bearing without bias. The eigenmode components are obtained, and then two time-domain characteristics of vibration energy and vibration kurtosis are calculated for each eigenmode component, and the initial characteristic data set of the early damage state of the rolling bearing is constructed using the time-domain characteristics, and then through the principal component analysis method The feature dimensionality reduction is performed on the initial feature set, and then a low-dimensional and efficient feature vector is obtained, which realizes the effective extraction of the feature information of the early damage state of the rolling bearing. The algorithm and program of the feature extraction method of the early damage state of the rolling bearing provided by the present invention are easy to implement, the whole process does not require manual participation, the degree of automation and intelligence is high, the cost is low, the accuracy is high, and it is easy to operate and implement, which is the safe operation of the bearing and equipment. Provides a reliable basis for judgment.

The invention discloses a method for remotely and dynamically monitoring electric energy metering load. The method comprises the following steps of: (1) modularly encapsulating data according to the difference of operation frequency and monitoring authority to build a header, a CRC and a split key which correspond to the data; (2) transmitting an encapsulated data packet to a background processorauthorized by an allocation level through the internet, wherein the background processor splits the modular data packet according to the authority of an operation key, the verification of the data CRC and the verification of the split key, and performs the CRC verification and the fault tolerance processing on the split data; (3) building a matched data processing mode to correspond to the data packet one-to-one according to the operation frequency; and (4) processing, backing up and reporting abnormal data in a way of combining an arbitrating mechanism with self-healing capacity. By the method for remotely and dynamically monitoring the electric energy metering load, the management and the use of the electric energy metering load are more accurate, quicker and more effective, and the accuracy and the justification of electricity user checking are guaranteed.