Junhong Park
한양대학교 기계공학과 · 공학
Junhong Park 교수의 연구실은 진동 및 소리 신호를 기반으로 한 구조물의 상태 모니터링과 진단 기술을 핵심으로 하며, 특히 딥러닝을 활용한 진동 특성 분석, 인쇄된 전도성 필름의 기계적 특성 평가, 볼트의 클램프력 측정 기술 개발 등 응용 분야에 중점을 두고 있습니다. 실생활 환경에서의 정확한 진동 응답 측정과 신호 해석을 통해 산업 현장 및 의료 분야에서의 비침습적 진단 솔루션을 개발하고 있습니다. 특히, 소음, 진동, 에너지 효율성 및 안전성과 연관된 실시간 모니터링 기술에 대한 응용 연구가 두드러집니다.
표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.
With the rapid progress in the deep learning technology, it is being used for vibration-based structural health monitoring. When the vibration is used for extracting features for system diagnosis, it is important to correlate the measured signal to the current status of the structure. The measured vibration responses show large deviation in spectral and transient characteristics for systems to be monitored. Consequently, the diagnosis using vibration requires complete understanding of the extrac
Despite the strengthening of vehicle emissions standards and test methods, nitrogen oxide (NOx) emissions from on-road mobile sources are not being notably reduced. The introduction of real driving emission (RDE) regulations is expected to reduce the discrepancy between emission regulations and actual air pollution. To analyze the effects of RDE regulations on heavy-duty diesel vehicles, pollutants emitted while driving were measured using a portable emission measurement system (PEMS) for Euro 5
The dynamic properties of inkjet-printed thin films on flexible polyimide (PI) substrates were investigated using the vibration analysis adopting wave approach. In order to fabricate the test specimens, the Ag nanoparticle suspension was inkjet printed on the plasma-treated PI substrate and sintered at different temperatures. The beam-shaped Ag-printed PI specimens with 30 mm length and 0.6 mm width were prepared by pico-second laser pulse cutting and were used as the cantilever beam in the vibr
Sound radiation from electric motor‐driven vehicles is negligibly small compared to sound radiation from internal combustion engine automobiles. When running on a local road, an artificial sound is required as a warning signal for the safety of pedestrians. In this study, an engine sound was synthesized by combining artificial mechanical and combustion sounds. The mechanical sounds were made by summing harmonic components representing sounds from rotating engine cranks. The harmonic components,
