• Title/Summary/Keyword: Speed Prediction

Search Result 1,508, Processing Time 0.031 seconds

Reducing the Interior Noise of the Korean High-speed Train Using Geometric Acoustic Method (기하음향 기법을 적용한 한국형 고속철도 실내소음 저감 방안)

  • Kim, Kwan-Ju;Park, Jin-Kyu
    • Transactions of the Korean Society for Noise and Vibration Engineering
    • /
    • v.12 no.6
    • /
    • pp.431-436
    • /
    • 2002
  • The interior sound pressure level of the Korean high-speed train(KHST) is predicted by geometrical acoustic method. For the Purpose of assuring the prediction of Interior noise of KHST by the geometrical acoustic scheme, calculated sound level values of the Korean train express(KTX) by Identical geometrical method are compared with measured values of KTX prototype vehicle by experiment. Contribution of individual sound source of KHST vehicle Into the interior response positions is calculated and sound sources are classified in influential order. Hence, it is reasonable approach to reduce sound power of most contributing noise source first. Sensitivity of the interior response position's sound pressure level (SPL) with respect to train wall sections' transmission loss are carried on and acoustically sensitive spot is identified, for example window area for passenger cabin case. Those contribution and sensitivity analysis results are suggested to design quieter train efficiently.

Acceleration Life Prediction of the Capacitor on a Traction Inverter for a High-Speed Train (고속철도차량용 견인 인버터 커패시터의 가속수명 예측)

  • Maeng, Heeyoung;Jung, Si-Kyo
    • Journal of the Korean Society of Manufacturing Technology Engineers
    • /
    • v.24 no.6
    • /
    • pp.653-659
    • /
    • 2015
  • The aim of this study is to develop a technique for the accelerated life test of the capacitor in a propulsion control device of a traction inverter used for a high-speed train. Using this technique, the accelerated life test can possibly estimate the life cycle of a capacitor under various temperature conditions and irregularly applied voltage. The accelerated life test is conducted for the capacitor of the traction inverter. The common proceedings of this test are selection of failure mechanism, determination of accelerated stress, range determination of the accelerated stress, determination of the test condition, and distribution and determination of the sample. From this result, the continuous applied voltage was not considered for the acceleration factors anymore. Therefore, the final result having an acceleration factor of 9.4 (= 13,626/1,445) was observed. Furthermore, the life-shortening acceleration effect for the irregular applied voltage condition can be applied to various situations.

Efficient Mode Decision Algorithm Based on Spatial, Temporal, and Inter-layer Rate-Distortion Correlation Coefficients for Scalable Video Coding

  • Wang, Po-Chun;Li, Gwo-Long;Huang, Shu-Fen;Chen, Mei-Juan;Lin, Shih-Chien
    • ETRI Journal
    • /
    • v.32 no.4
    • /
    • pp.577-587
    • /
    • 2010
  • The layered coding structure of scalable video coding (SVC) with adaptive inter-layer prediction causes noticeable computational complexity increments when compared to existing video coding standards. To lighten the computational complexity of SVC, we present a fast algorithm to speed up the inter-mode decision process. The proposed algorithm terminates inter-mode decision early in the enhancement layers by estimating the rate-distortion (RD) cost from the macroblocks of the base layer and the enhancement layer in temporal, spatial, and inter-layer directions. Moreover, a search range decision algorithm is also proposed in this paper to further increase the motion estimation speed by using the motion vector information from temporal, spatial, or inter-layer domains. Simulation results show that the proposed algorithm can determine the best mode and provide more efficient total coding time saving with very slight RD performance degradation for spatial and quality scalabilities.

Prediction of Residual Resistance Coefficient of Low-Speed Full Ships Using Hull Form Variables and Machine Learning Approaches (선형변수 기계학습 기법을 활용한 저속비대선의 잉여저항계수 추정)

  • Kim, Yoo-Chul;Yang, Kyung-Kyu;Kim, Myung-Soo;Lee, Young-Yeon;Kim, Kwang-Soo
    • Journal of the Society of Naval Architects of Korea
    • /
    • v.57 no.6
    • /
    • pp.312-321
    • /
    • 2020
  • In this study, machine learning techniques were applied to predict the residual resistance coefficient (Cr) of low-speed full ships. The used machine learning methods are Ridge regression, support vector regression, random forest, neural network and their ensemble model. 19 hull form variables were used as input variables for machine learning methods. The hull form variables and Cr data obtained from 139 hull forms of KRISO database were used in analysis. 80 % of the total data were used as training models and the rest as validation. Some non-linear models showed the overfitted results and the ensemble model showed better results than others.

Improvement of prediction methods of power increase in regular head waves using calm-water and resistance tests in waves

  • Chun, Ho-Hwan;Lee, Cheol-Min;Lee, Inwon;Choi, Jung-Eun
    • International Journal of Naval Architecture and Ocean Engineering
    • /
    • v.13 no.1
    • /
    • pp.278-291
    • /
    • 2021
  • This paper applies load variation method to predict speed-power-rpm relationship along with propulsive performances in regular head waves, and to derive overload factors (ITTC, 2018). 'Calm-water tests' and 'resistance test in waves' are used. The modified overload factors are proposed taking non-linearity into consideration, and applied to the direct powering, and resistance and thrust identity method. These indirect methods are evaluated through comparing the speed-power-rpm relationships with those obtained from the resistance and self-propulsion tests in calm water and in waves. The objective ship is KVLCC2. The load variation method predicts well the speed-power-rpm relationship and propulsion performances in waves. The direct powering method with modified overload factors also predicts well. The resistance and thrust identity method with modified overload factor predicts with a little difference. The direct powering method with overload factors predicts with a relatively larger difference.

Real-time prediction of dynamic irregularity and acceleration of HSR bridges using modified LSGAN and in-service train

  • Huile Li;Tianyu Wang;Huan Yan
    • Smart Structures and Systems
    • /
    • v.31 no.5
    • /
    • pp.501-516
    • /
    • 2023
  • Dynamic irregularity and acceleration of bridges subjected to high-speed trains provide crucial information for comprehensive evaluation of the health state of under-track structures. This paper proposes a novel approach for real-time estimation of vertical track dynamic irregularity and bridge acceleration using deep generative adversarial network (GAN) and vibration data from in-service train. The vehicle-body and bogie acceleration responses are correlated with the two target variables by modeling train-bridge interaction (TBI) through least squares generative adversarial network (LSGAN). To realize supervised learning required in the present task, the conventional LSGAN is modified by implementing new loss function and linear activation function. The proposed approach can offer pointwise and accurate estimates of track dynamic irregularity and bridge acceleration, allowing frequent inspection of high-speed railway (HSR) bridges in an economical way. Thanks to its applicability in scenarios of high noise level and critical resonance condition, the proposed approach has a promising prospect in engineering applications.

High-Speed Intra Prediction VLSI Implementation for HEVC (HEVC 용 고속 인트라 예측 VLSI 구현)

  • Jo, Hyeonsu;Hong, Youpyo;Jang, Hanbeyoul
    • The Journal of Korean Institute of Communications and Information Sciences
    • /
    • v.41 no.11
    • /
    • pp.1502-1506
    • /
    • 2016
  • HEVC (High Efficiency Video Coding) is a recently proposed video compression standard that has a two times greater coding efficiency than previous video compression standards. The key factors of high compression performance and increasement of computational complexity are the various types of block partitions and modes of intra prediction in HEVC. This paper presents an intra prediction hardware architecture for HEVC utilizing pipelining and interleaving techniques to increase the efficiency and performance while reducing the requirement for hardware resources.

Performance Prediction of Centrifugal Pumps using Two Zone Model (두영역모델을 사용한 원심펌프의 성능예측)

  • Choi, Young-Seok;Shim, Jae-Hyeok;Kang, Shin-Hyoung
    • 유체기계공업학회:학술대회논문집
    • /
    • 1998.12a
    • /
    • pp.33-41
    • /
    • 1998
  • In this study, the performance prediction programs for centrifugal pumps are developed. To estimate the losses in the centrifugal pump impellers, two-zone model and TEIS(two elements in series) model are applied to the program. The basic concept of two zone model considers the primary zone that is an isentropic core flow and the secondary zone that is non-isentropic region at the impeller exit. The flows through two different zones mixed out at the impeller exit and the mixing process occurs with an increase in entropy, a decrease in total pressure. The level of the core flow diffusion in a impeller was calculated using TEIS(two elements in series) model. The effects of various parameters which are used in this program on the prediction of head and efficiency are discussed. The correlation curves to select the effectiveness of the primitive TEIS model were suggested according to the specific speed of the centrifugal pumps.

  • PDF

Aerodynamic Design and Performance Prediction of Wind Turbine Blade (풍력터빈 블레이드 공력설계 및 성능예측)

  • Kim, Cheol-Wan;Cho, Tae-Hwan
    • Proceedings of the Korean Society of Propulsion Engineers Conference
    • /
    • 2011.11a
    • /
    • pp.677-681
    • /
    • 2011
  • Characteristics of vertical and horizontal axis wind turbines are explained. The speed and direction of wind on the blade of the Darrieus type turbine changes very severely. Therefore dynamic stall happens periodically and the wake from the front blade deteriorates the performance of rear blades. Blade element momentum theory(BEMT) is widely utilized for aerodynamic design and performace prediction of horizontal axis wind turbine(HAWT). Computation analysis and wind tunnel test are also performed for the performance prediction.

  • PDF

Reliability evaluation plan of Rocket motor system (추진기관 시스템의 신뢰성 평가 방안)

  • Sim, Haeng-Geun;Jang, Ju-Su
    • Proceedings of the Korean Reliability Society Conference
    • /
    • 2011.06a
    • /
    • pp.305-309
    • /
    • 2011
  • Reliability evaluation of One-Shot systems which fly at speed of Mach must evaluate as the result which leads a many firing test. But many firing test the fact that is impossible is actuality with problem of budget. Method of prediction leads consequently with alternative and will be able to present the alternative which evaluates. Prediction of One-Shot systems that how many did accumulate a many experience data according to the accuracy is decided, there is a possibility of seeing. One like shot our country and the method which is indirect leads from the environment where the test data is insufficient and only will not be able to set the direction of prediction, the present paper about such method describes 217 Plus where is a reliability prediction standard which is new the thing in standard.

  • PDF