7results about How to "Reliable conclusion" patented technology

The invention discloses a fixing device for a concrete slab explosion test, which comprises a fixing seat, and the fixing seat comprises a first supporting unit and a second supporting unit which are detachably arranged; first clamping assemblies are arranged at the top ends of the first supporting unit and the second supporting unit; the fixing base is further provided with a monitoring unit and a blasting assembly fixing unit. The free end of the blasting assembly fixing unit can be close to or away from the fixing base, the second clamping unit comprises a first clamping assembly and a second clamping assembly which are detachable, and the second clamping assembly can move in the vertical direction of the first clamping assembly; the device can effectively simulate the real clamping and stress conditions of the two ends of a concrete slab in a building under the action of an explosion load, greatly improves the accuracy of an anti-explosion performance loading test of the concrete slab with the two ends clamped and supported, meets the test of different to-be-tested assemblies at the same time, and improves the test efficiency. The test efficiency is improved and the cost is reduced.

The invention provides a system reliability estimation and control optimization method based on a fusion distributed likelihood ratio. The method comprises specific processes of fusion distributed multi-component system reliability modeling, parameter interval estimation and reliability index verification. After a motor train unit fusion distribution model is established, the fusion distribution model is solved by utilizing an expectation maximization algorithm to obtain a point estimation value, and on the basis, a confidence limit estimation value of the fusion distribution model is given by constructing a single-parameter likelihood ratio pivot statistical magnitude and utilizing related properties of the single-parameter likelihood ratio pivot statistical magnitude. And applying an interval to estimate a lower limit value, giving a dynamic change of a reliability index of the fusion distributed system under a conservative condition, and finally quantitatively verifying the feasibility of system maintenance period margin extension. The likelihood ratio test method is good in effect when processing large sample data, key information can be efficiently and accurately extracted, and powerful data support is provided for feasibility verification of prolonging the maintenance cycle interval of an equipment system.

The invention discloses an equipment fault detection method based on Internet of Things and data driving. The method comprises the following steps: deploying and installing a production line environment monitoring module, an equipment state monitoring module, a fault detection module, a control module, a plurality of environment sensors and a plurality of equipment state sensors in a target monitoring area; the production line environment monitoring module obtains environment data around the equipment; the equipment state monitoring module obtains equipment state data; the production line environment monitoring module and the equipment state monitoring module respectively pre-process the acquired data and then transmit the data to the fault detection module; the fault detection module performs fault detection on the received data to obtain a detection result, and transmits the detection result to the control module; the control module adjusts equipment on the production line in real time according to the detection result. According to the method, efficient production line equipment fault detection is realized through the synergistic effect of the sensor, the monitoring module, the fault detection module and the control module.

The invention relates to the field of compressed air energy storage sealing materials, in particular to a device for simulating the caulking state of a flexible sealing material. The device comprises a high-pressure control system, a test chamber and a connecting pipeline. An annular lining with a prefabricated crack, a flexible sealing layer and a high-pressure air bag are sequentially arranged in the test chamber from outside to inside, and the high-pressure air bag applies radial pressure to the flexible sealing layer through pressure change under the action of a high-pressure control system and is used for simulating the influence of the lining crack on the caulking performance of the flexible sealing layer under the condition of high internal pressure. The caulking behavior and the damage characteristic of the flexible sealing material under different working conditions can be simulated and evaluated by adjusting the width of the lining crack, the material and the thickness of the flexible sealing layer and the loading pressure parameter. According to the method, the stress state and caulking characteristics of the flexible sealing layer in the compressed air energy storage cavern can be truly restored, and a test means is provided for engineering applicability evaluation of the flexible sealing material.

The invention discloses a wind turbine generator blade icing detection method, medium and system, and the method comprises the steps: obtaining SCADA data, and carrying out the preprocessing of the SCADA data, and obtaining power generation working condition data used for analysis and diagnosis; aggregating the power generation working condition data, and identifying scattered points of which the wind speed is not matched with the power to obtain a power abnormal data set; identifying whether an icing necessary condition in the power abnormal data set is satisfied or not, and obtaining a suspected icing data set satisfying the icing necessary condition; carrying out steady-state data extraction on the suspected icing data set, carrying out frequency conversion analysis by utilizing fast Fourier transform, and judging whether the power has an 1P feature or not; and if the power has the 1P characteristic, judging that the blades of the wind turbine generator are iced. The method has the advantages of high icing accuracy, high reliability and the like.

The invention discloses an information processing method of a physical examination intelligent main examination system based on a knowledge base, and the method comprises the steps: obtaining a historical physical examination report data set, and obtaining a first initial score of each historical physical examination report in the historical physical examination report data set for a first preset disease; extracting a first feature of each historical examination report for a first preset disease; inputting the first feature and the first initial score corresponding to the first feature into a first training model for training to obtain a first score model; re-inputting the historical examination report data set into the first scoring model to obtain a first correction score; according to the first correction score, dividing each historical examination report into a plurality of critical levels by adopting a clustering algorithm; generating a standard physical examination report corresponding to each critical level, and constructing a first knowledge base; obtaining a to-be-evaluated current physical examination report; and based on the first knowledge base, obtaining a standard physical examination report with the highest similarity with the current physical examination report. The workload of physical examination doctors can be effectively relieved.

The application provides a device and a test method for monitoring diffusion of hydrogen atoms across a grain boundary by using SKPFM, and relates to the technical field of hydrogen energy utilization. The device for monitoring diffusion of hydrogen atoms across a grain boundary by using SKPFM comprises a target grain boundary to be researched, a cantilever, an electrolytic cell, a platinum wire and a direct current power supply. The method is as follows: for a columnar crystal material after directional solidification, a certain grain boundary is determined as the research grain boundary, then a sample of the cantilever connected with the electrolytic cell is prepared, hydrogen atoms diffuse to the research grain boundary and gradually cross the grain boundary during the electrolysis process, and continuous scanning is performed on the grain boundary position by using SKPFM, so that the behavior of hydrogen crossing the grain boundary can be observed in real time. Compared with other traditional methods, the method of the application realizes the diffusion behavior of hydrogen atoms across the target grain boundary, high-throughput research and real-time monitoring research through the design of the device structure and the test method, improves the hydrogen embrittlement resistance of the material, and the conclusion is real, reliable and guaranteed, and is beneficial to industrial popularization and use.