Technical Parameter

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The Experts below are selected from a list of 294 Experts worldwide ranked by ideXlab platform

Ding Xue-gong - One of the best experts on this subject based on the ideXlab platform.

S Klevtsov - One of the best experts on this subject based on the ideXlab platform.

  • tracking significant changes in a Technical Parameter by the example of acceleration of a moving dynamic object
    2020 International Multi-Conference on Industrial Engineering and Modern Technologies (FarEastCon), 2020
    Co-Authors: S Klevtsov
    Abstract:

    The article presents a model and a generalized algorithm for determining and predicting an abrupt change in a Technical Parameter. The model is based on processing Poincare graphs generated in real time by a local array of points in the time series of Parameter values. The array is cut out by a fixed time window during its movement along the time series. At the initial stage, abnormal values of the initial time series are detected using the Irwin criterion. For each chart, a reference trend is constructed in the form of a linear function. To assess the abrupt change in the Parameter, the adequacy of the reference trend to an array of points on the graph is analyzed. To estimate the magnitude of the Parameter, change within the time window, the standard deviation of the points on the Poincare graph from the point of the center of mass is calculated. The criterion for an unacceptable change in the Parameter is the calculated deviation beyond the specified zone. The model provides for fixing an emergency at an early stage of its development in real time.

  • analysis of the behavior of a Technical Parameter in a limited area of its time series for forecasting tasks
    2020 Moscow Workshop on Electronic and Networking Technologies (MWENT), 2020
    Co-Authors: S Klevtsov
    Abstract:

    To assess the performance of a Technical object, it is necessary to determine the possible values of the controlled Parameters at the predicted time interval. Evaluation is carried out during the operation of the object. Calculations are usually performed in the background. Previously measured Parameter values are used for evaluation. They represent a time series. The possibility of forecasting depends on the nature of the time series segment on which the calculations are made. If the plot of the series is characterized as persistent, the forecast is possible. Otherwise, the prediction may result in invalid results. It is shown that the fractal index can be used for local estimation of the character of the series segment, on the basis of which the forecasting is carried out. Unlike the Hurst index, which requires a large amount of data, the fractality index works with small samples. This allows you to determine the nature of the plot of the series, which contains several dozen values.

Zhu Lei - One of the best experts on this subject based on the ideXlab platform.

  • research on Technical Parameter optimization for thermit welding
    Journal of Academy of Armored Force Engineering, 2010
    Co-Authors: Zhu Lei
    Abstract:

    In order to obtain the best Technical Parameter of thermite welding, by means of orthogonal experiments and quadratic general revolving combined test, the influences of the three technique Parameters, that is, warming-up temperature, pressing time and welding seam clearance, on the tensile strength of thermit welding parts have been studied, and further an optimized group of welding technique Parameters to achieve the best tensile strength has been decided. The fractures of test pieces have been analyzed by means of electron microscope, and the microstructures of welded pieces with trailing peening at different temperatures have been compared. The different influences of the two methods on the obdurability of welded joint are explored. The results show that the employment of the thermite welding test devices designed by the author and optimized welding pressing Technical Parameters can help the welded joint obtain large deformed structure, and gain high intensity and toughness. This study can provide basic data for improving thermite welding quality.

Zj Hangzhou - One of the best experts on this subject based on the ideXlab platform.

Jiantang Zhu - One of the best experts on this subject based on the ideXlab platform.

  • Optical nondestructive examination of glass-fibre reinforced plastic honeycomb structures
    Optics and Lasers in Engineering, 1996
    Co-Authors: Jiantang Zhu
    Abstract:

    Abstract In this study, a HNDT experimental unit comprising a special heatloading device was designed and made. This paper shows the experimental set-up and typical double-exposure holographic fringe patterns of GFRP honeycomb structures with various kinds of defects. In this paper the feasibility of using holographic detective methods to check the bonding quality of a GFRP honeycomb structure is studied. The skin of the structure is 1.2 mm thick and the honeycomb core is 8 mm high. Discussion is made on the holographic interference patterns for defects located at different depths, and defects of different equivalent areas and types. The colour of the surface layer of the honeycomb structure is also explored and discussed. Factors affecting the quality of the hologram are explored, such as selection of beam path, the angle between the reference and object beams, the ratio of the object beam intensity to the reference beam intensity, and especially selection of the type of heat-loading source and its Technical Parameters, etc. The optimum Technical Parameter is obtained. Measurement of the mechanical properties of both the detective and nondefective specimens shows that single defects of equivalent area less than 4 cm 2 do not affect the mechanical strength of the GFRP honeycomb structures at room temperature. This information is useful in the selection of an acceptance criterion for GFRP honeycomb structures. With the integrated analysis method, and according to the form of the interference fringe, the size and property of defects can be defined. The depth of the defects can also be estimated, by experience.