사단법인한국소음진동공학회 The Korean Society for Noise and Vibration Engineering

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저널레터 : Trans. Korean Soc. Noise Vib. Eng., Vol. 32, No. 2 한국소음진동공학회 2022-06-23
첨부파일
2022년 4월 제 32권 제 2호 통권 265호
직선형 파동유도관에서 벽면에 따른 초음파 전파
Ultrasonic Wave Propagation according to the Wall in a Linear Waveguide
허 인 재 · 김 진 오
In Jae Heo and Jin Oh Kim
This study deals with the ultrasonic propagation characteristics according to the wall in a linear waveguide combined with an ultrasonic sensor for distance measurement. The purpose is to reduce the wall reflection by a rough surface because the wave reflecting on a smooth wall of the waveguide would interfere with straightly travelling wave. Wedges were designed on the waveguide wall...
강화학습 알고리즘을 이용한 초소형 전기자동차 현가장치의 제어
알고리즘 설계
Design of Control Algorithm for Micro Electric Vehicle Suspension System Using Reinforcement Learning Algorithm
김 영 준 · 홍 석 무 · 오 종 석
Young-Jun Kim, Seokmoo Hong and Jong-Seok Oh
In this study, a reinforcement learning-based controller was designed to enhance the vibration control performance of micro-electric vehicles. The dynamic model of a controllable suspension system was realized, and the corresponding mechanical system was established. Reinforcement learning algorithms such as the deep deterministic policy gradient (DDPG) and twin-delayed...
초음파센서의 최소탐지거리 단축용 원호형 파동유도관
Circularly Curved Waveguide for Shortening the Minimum Detectable Distance of Ultrasonic Sensor
안 재 혁 · 김 진 오
Jae Hyuck An and Jin Oh Kim
This study proposes a method to reduce the minimum detectable distance of an ultrasonic sensor by combining a circularly curved waveguide. The minimum detectable distance of ultrasonic sensors for distance measurement is limited because of the blind zone time caused by residual vibration of the sensor plate. The purpose of this study is to design a variety of waveguides and evaluate their...
블레이드 동특성 근사모델의 확률 분석을 통한 블레이드 구조 설계
Blade Structure Design through Probability Analysis of Blade Dynamic Characteristic Surrogate Model
김 태 주 · 백 승 길 · 임 재 혁
Taejoo Kim, Seung-Kil Paek and Jae Hyuk Lim
For a rotor system in which the hub/control design and blade OML were determined, the internal structural shape of the blade was designed using the dynamic characteristic surrogate model to maximize the difference between the rotating natural frequency and the integral multiple of the rotational operating frequency. Based on the general blade structure design procedure, an...
FRF 기반 부분구조합성법을 이용한 차량 진동성능 강건설계
Robust Design of Vehicle Vibration Performance Using FRF-based Substructuring Method
원 영 우 · 이 두 호
Young-Woo Won and Dooho Lee
In this study, a robust design procedure using the FRF-based substructuring (FBS) method was proposed for vehicle vibration performance. In the robust design procedure, global sensitivity analysis was used to obtain the design information of elastomers in structural systems considering uncertainties. The global sensitivity method combines the random balance design method...
음향블랙홀 보를 이용한 비틀림 진동 감쇠기의 설계 및 실험적 확인
Design and Experimental Validation of Torsional Vibration Damper Using Acoustic Black Hole Beams
이 두 호 · 배 시 완 · 김 선 용
Dooho Lee, Si Wan Bae and Sun-Yong Kim
In this study, a novel type of torsional vibration damper was proposed and experimentally verified. The torsional vibration damper is composed of acoustic black hole (ABH) beams arranged in the outward radial direction and a base structure to fix the root of the ABH beam. The effective frequencies of the proposed torsional vibration damper are not limited to a narrow frequency range...
개선된 Deep Residual Learning 및 물리 모델 데이터를 이용한 잡음 조건에서의 자동차 샤시 결함 진단
Vehicle Chassis System Fault Detection using Improved Deep Residual Network and Physics Model-based Data under Noisy Environment
이 상 윤 · 이 상 권
Sang-Yun Lee and Sang-Kwon Lee
For autonomous vehicles, technology that monitors the state of the vehicle and detects a failure using sensor data is receiving increasing attention. The purpose of this study is to determine the type and location of faults of a vehicle chassis system under noisy conditions using acceleration data and deep learning. Because there is a limit in the acquisition of specific defect data from a real vehicle...
항공기 소음 식별 및 빅데이터 분석을 위한 AI 모델 연구
AI Model for Aircraft Noise Identification and Big Data Analysis
윤 성 철 · 임 진 이 · 정 천 우
Soungcheol Yoon, Jinyi Leem and Chonwoo Jung
Recently, there has been a growing interest in aircraft noise. Aircraft noise analysis requires the identification and extraction of aircraft noise from background noise and is generally carried out through manual work by engineers. The management of data through manual work is not only required by expert engineers, but is not efficient to handle the vast noise data. Moreover, with...
원심진자 흡진기를 이용한 수력발전기 구동계 축소모델회전진동
저감 검토
Attenuation of Rotational Vibration in Down-sized Model of Hydroelectric Generator Using Centrifugal Pendulum Absorbers
곽 규 빈 · 김 병 일 · 한 유 경 · 이 형 일
Gyubin Kwak, Byeongil Kim, YounKyung Han and Hyeongill Lee
The attenuation of rotational vibration in the drivetrain of a hydroelectric generator is evaluated using a down-sized model. The down-sized model of the drivetrain is developed so that the rotational dynamic characteristics i.e. natural frequencies and mode shapes of the model are identical to those of the original drivetrain. The transfer matrix representation of the down-sized model...
관형 철탑 볼트 풀림 진단을 위한 음향방출 신호의 특징 분석
Feature Analysis of Acoustic Emission Signals for Diagnosis of Loosened Bolt in Tubular Steel Tower
박 계 륜 · 이 정 준 · 유 현 탁 · 문 영 빈 · 김 현 식 · 김 춘 배 · 최 병 근
Kye-Ryun Park, Jeong-Jun Lee, Hyeon-Tak Yu, Young-Bin Moon, Hyun-Sik Kim, Chun-Bae Kim and Byeong-Kuen Choi
We conducted an acoustic emission test for the loosened bolt diagnosis of tubular steel towers. Signal processing techniques and machine learning were applied to acoustic emission signals to confirm the classification possibility of the bolt fastening strength. Consequently, a clear difference between the fastened condition of the bolt and the loosened condition was observed...
FEM 시뮬레이션 기반 분로리액터 소음 예측
Noise Prediction of Shunt Reactor Based on FEM Simulation
안 창 훈 · 이 승 훈 · 김 창 욱 · 이 종 문
Chang Hoon Ahn, Seung Hoon Lee, Chang Wook Kim and Jong Moon Lee
Electromagnetic-vibration-acoustic coupling simulation based on 3D FEM simulation was carried out to predict the noise under the load condition of a shunt reactor. Electromagnetic forces such as the Lorentz force, magnetostriction and the Maxwell force were identified as major excitation forces. Not only the structure of the shunt reactor, but also the insulating oil and acoustic field areas were...
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The Korean Society for Noise and Vibration Engineering
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