Hardware Measurement System Research Articles

A Novel Deep Learning Framework for Industrial Multiphase Flow Characterization

Due to the inherent disturbances associated with flow structures, measurement of the complicated flow parameters in multiphase flows remains a challenging problem of significant importance. The flow dynamical behaviors are still elusive. In this paper, a multichannel complex impedance measurement system is designed to cope with this difficult issue. First, the geometry of the distributed multielectrode impedance sensor is optimized and a matched hardware measurement system is developed. After performance evaluation, a convolutional neural network and long short-term memory based measurement model is formulated for measuring flow parameters with high accuracy. The mean absolute error is only 0.36% for water cut and 0.77% for total flow velocity. Further, from the perspective of Lempel–Ziv complexity and mutual information, the relationship between the diverse flow structures and spatial flow behaviors is explored, leading to a deeper understanding of oil-water flows. All the experimental and analytical results demonstrate that the combination of deep learning and the designed impedance sensor measurement system allows measuring the complicated flow parameters, thereby characterizing the flow structures and behaviors. This opens up a new venue for exploring industrial multiphase flows and serving for an efficient oilfield exploitation as well.

Applying innovative stripes adaptive detection to three-dimensional measurement of color fringe profilometry

This study developed a 3D software and hardware measurement system, and proposes an innovative stripes adaptive detection algorithm. The fringe intensity is regulated automatically according to the reflection coefficient of different analytes, in order to avoid overexposure. For the measurement of the object in discontinuously changing height, a novel intensity difference coding unwrapping phase technology is used, thus overcoming the technological bottleneck of traditional phase unwrapping. In order to increase the measurement efficiency, the stripe pattern is combined with intensity coding pattern by three-channel color information, in order to generate an adaptive compound color stripe pattern. The measurement efficiency is increased by approximately two times compared with traditional gray stripe pattern. In order to increase the measurement accuracy, the uneven brightness is corrected by using brightness gain function. The three-channel intensity nonlinear response is corrected by cubic spline interpolation system response inverse function. The three-channel image is corrected by color cross-talk correction technology. The experiment proved that the system repeatability is 20µm. The traditional phase-shifting profilometry is improved successfully, overcoming the technical measurement bottleneck of discontinuous change in the analyte height, so as to attain low cost, high measurement accuracy, efficiency and measurement reliability.

Automatic Measurement Of Shape Parameters For Hydraulic Torque Converter

Abstract In this paper, the automatic measurement method of the Hydraulic Torque Converter shape parameters is studied. Aiming at the defects of the traditional manual measurement method, the solution for measuring the shape parameters of Hydraulic Torque Converter with the automatic measurement system is proposed on the basis of in-depth analysis for the Hydraulic Torque Converter shape parameters’ characteristics. Automatic measurement system mainly contains two parts, the Hardware Measurement System and the Software Measurement System. The working principle of the automatic measurement system are as follows: firstly, as system starting, the arm upper Measuring Fixture put the Hydraulic Torque Converter work piece into the Measuring Fixture, and then the Measuring Fixture make the Pump Hub Axle and Cover Hub Axle of the measured work piece fixed; secondly, the measured work piece start to rotate, at the same times, s the work piece is measured by MARPOSS displacement sensor. The measuring stop as soon as the measured work piece completes rotating 360 degrees. Lastly, measurement data is collects by the Software Measurement System based on LabVIEW development platform using NI acquisition card. The Moving Average Filter and Butterworth approximation method is mainly used during processing the measurement data. The tolerance measuring value of each shape parameter can be obtained, after the measurement data processed. The external dimensions of the measured work piece have been qualified by the data obtained. Under practical test, this method fit the industrial production demand very well; it can help to improve the production efficiency greatly used in the industrial production

GSM 신호 측정기의 소프트웨어 구현

본 논문에서는 GSM (Global System for Mobile Communication) 단말의 성능을 측정하기 위한 측정기의 기능을 소프트웨어로 구현하고 GSM 신호 발생기를 통해 발생된 신호를 이용해 구현된 소프트웨어 측정기의 성능을 평가해본다. 일반적으로 통신신호 측정기는 매우 정밀한 정확도를 필요로 하므로 정확도가 충분히 높지 않은 일반 통신 모뎀 수준의 수신 알고리듬을 직접적으로 측정기에 적용할 수는 없다. 본 논문에서는 GSM 신호의 정밀한 측정을 위한 새로운 GSM 신호의 수신 알고리듬을 제안한다. 제안된 GSM 수신 알고리듬에는 2단계(개략적 단계, 미세 단계)의 파라미터(심볼 타이밍, 주파수 오프셋, 반송파 위상) 추정방식을 사용하였다. 또한 수신신호의 보간을 이용하여 수신 신호 샘플의 개수를 증가시킴으로서 측정의 정확도를 향상시켰다. 본 논문에서 제안된 GSM 신호 측정 방식은 하드웨어를 구현하기 전에 소프트웨어를 이용하여 사전에 측정 성능을 검증하는데 사용될 수 있다. 또한 구현된 소프트웨어 알고리듬을 속도측면에서 최적화함으로서 직접 GSM 신호 측정을 위한 상용 시스템으로도 이용할 수 있다. In this paper, we implement measurement functionality for performance measurement of the GSM (Global System for Mobile Communication) terminal by using software. Generally speaking, the receiving algorithms in normal modems cannot be used directly to the measurement system due to the lack of the algorithm accuracy. In this paper, we propose the new receiver algorithm for precise GSM signal measurements. In the receiving algorithm, 2-stage (coarse stage, fine stage) parameters estimation (symbol-timing, frequency offset, carrier phase) scheme is used. To improve the estimation accuracy, we increase the number of the received signal samples by interpolation. The proposed GSM signal measurement algorithm can be used for verifying the hardware measurement system. In addition, the proposed algorithm can be used for the commercial system through code execution speed optimization.

A self-tuning automatic voltage regulator designed for an industrial environment

Examination of the performance of fixed parameter controllers has resulted in the development of self-tuning strategies for excitation control of turbogenerator systems. In conjunction with the advanced control algorithms, sophisticated measurement techniques have previously been adopted on micromachine systems to provide generator terminal quantities. In power stations, however, a minimalist hardware arrangement would be selected leading to relatively simple measurement techniques. The performance of a range of self-tuning schemes is investigated on an industrial test-bed, employing a typical industrial hardware measurement system. Individual controllers are implemented on a standard digital automatic voltage regulator (AVR), as installed in power stations. This employs a VME platform, and the self-tuning algorithms are introduced by linking to a transputer network. The AVR includes all normal features, such as field forcing, VAr limiting and overflux protection. Self-tuning controller performance is compared with that of a fined gain digital AVR.