Preparation and Ablation Properties of W/TaC Cermet via in-situ Reaction Sintering Process

Jiang, Jinming; Wang, Jiafu; Li, Wei; Chen, Zhaohui

doi:10.1007/s11595-018-1841-8

Cited by 4 publications

(3 citation statements)

References 15 publications

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“…Among them, theodolite angle measuring was generally used for azimuth angle measuring, while electronic angle measuring was mostly used for pitch angle measuring. In the process of engineering measurement, the measurement method should have higher resolution, and the measurement result required good repeatability and reproducibility [2].…”

Section: Forewordmentioning

confidence: 99%

“…The geometric model of pitch Angle algorithm is established to calculate the pitch Angle value (εi) of each trajectory point. Then, the equivalent pitch code value (Xi) corresponding to each trajectory point is calculated according to equation (2). Finally, according to the pitching rotation direction, equation ( 3) and (4) or equation ( 5) and ( 6) are selected respectively to calculate the Angle measuring error.…”

Section: Processing Model Of Pitch Angle Datamentioning

confidence: 99%

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Pitch Angle Error Measurement Technology for Track and Control Equipment Based on Trajectory

Qiu

Sun

2023

J. Phys.: Conf. Ser.

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Due to the large support span of the pitching mechanism of the Fork-arm antenna pedestal of large phased array track and control equipment, the antenna array was deflected downward by its self-weight load. When measuring the pitch angle error, the pitch axis and the normal pointing angle of the array fluctuated, which significantly interfered with the evaluation results of common measuring methods for pitch angle error such as electronic goniometer. In view of the above problems, this paper proposed a pitch angle error measurement technology of track and control equipment based on motion trajectory. In this method, Target point for measurement was set in the appropriate area of the end face of the array skeleton, and the laser tracker was used to track and capture the spatial coordinates and trajectory of the target point in the process of pitching motion. The geometric model of the pitch angle algorithm was constructed based on the circular motion trajectory, which eliminated the influence of the fluctuation of the pitch axis and the normal pointing angle of the array on the pitch angle. The pitch angle error algorithm and data processing model were established, and the programmed rapid calculation and evaluation of the pitch angle deviation of track and control equipment were realized.

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Section: Forewordmentioning

confidence: 99%

Section: Processing Model Of Pitch Angle Datamentioning

confidence: 99%

Pitch Angle Error Measurement Technology for Track and Control Equipment Based on Trajectory

Qiu

Sun

2023

J. Phys.: Conf. Ser.

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“…For example, Yu [56] uses ANN to forecast the bus passenger trip flow between different city zones. Jiang [57] uses RBF-ANN and BP-ANN to predict the long-term passenger flow in one-year interval respectively, the results show the accuracy of RBF-ANN is better than BP-ANN. Yang [58] proposes a model based on the theory of adaptive neural fuzzy inference system to predict bus line passenger flow in day time interval.…”

Section: Applications Of Ann In Short-term Bus Passenger Flow Predictionmentioning

confidence: 99%

A Comprehensive Comparative Analysis of the Basic Theory of the Short Term Bus Passenger Flow Prediction

et al. 2018

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In order to meet the real-time public travel demands, the bus operators need to adjust the timetables in time. Therefore, it is necessary to predict the variations of the short-term passenger flow. Under the help of the advanced public transportation systems, a large amount of real-time data about passenger flow is collected from the automatic passenger counters, automatic fare collection systems, etc. Using these data, different kinds of methods are proposed to predict future variations of the short-term bus passenger flow. Based on the properties and background knowledge, these methods are classified into three categories: linear, nonlinear and combined methods. Their performances are evaluated in detail in the major aspects of the prediction accuracy, the complexity of training data structure and modeling process. For comparison, some long-term prediction methods are also analyzed simply. At last, it points that, with the help of automatic technology, a large amount of data about passenger flow will be collected, and using the big data technology to speed up the data preprocessing and modeling process may be one of the directions worthy of study in the future.

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Refractory carbide reinforced tungsten matrix composites

Wang

Zhang

et al. 2022

Journal of Alloys and Compounds

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Preparation and Ablation Properties of W/TaC Cermet via in-situ Reaction Sintering Process

Cited by 4 publications

References 15 publications

Pitch Angle Error Measurement Technology for Track and Control Equipment Based on Trajectory

Pitch Angle Error Measurement Technology for Track and Control Equipment Based on Trajectory

A Comprehensive Comparative Analysis of the Basic Theory of the Short Term Bus Passenger Flow Prediction

Refractory carbide reinforced tungsten matrix composites

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