• Title/Summary/Keyword: gearbox

Search Result 231, Processing Time 0.023 seconds

Noise Reduction of Electric Vehicle using Passive Damping Material (수동형 패치를 이용한 전기차 소음 저감)

  • Kim, Hyunsu;Kim, Byeongil;Han, Won-ok
    • Journal of the Institute of Electronics and Information Engineers
    • /
    • v.54 no.6
    • /
    • pp.117-122
    • /
    • 2017

  • Cabin noise due to the electric powertrain of electrical vehicle may consists of motor noise caused by electrical mismatch and gear noise coming from reduction gearbox. These sound may be considered rather small noise compared to those of internal combustion engine, but without masking effect, the noise can be more annoying for customer. Thus, this paper demonstrates the characteristics of electrical vehicle powertrain noise, and the effect of passive damping material for the noise reduction. The typical motor noise can be affected by the motor torque. Also, it is demonstrated that the reduction gearbox may be a weak point for the noise path compared to the motor housing. With vehicle test, it is shown that the damping patch is more effective for noise reduction with deceleration condition than with acceleration condition.

  • https://doi.org/10.5573/ieie.2017.54.6.117 인용 PDF KSCI

Hierarchical Flow-Based Anomaly Detection Model for Motor Gearbox Defect Detection

  • Younghwa Lee;Il-Sik Chang;Suseong Oh;Youngjin Nam;Youngteuk Chae;Geonyoung Choi;Gooman Park
    • KSII Transactions on Internet and Information Systems (TIIS)
    • /
    • v.17 no.6
    • /
    • pp.1516-1529
    • /
    • 2023

  • In this paper, a motor gearbox fault-detection system based on a hierarchical flow-based model is proposed. The proposed system is used for the anomaly detection of a motion sound-based actuator module. The proposed flow-based model, which is a generative model, learns by directly modeling a data distribution function. As the objective function is the maximum likelihood value of the input data, the training is stable and simple to use for anomaly detection. The operation sound of a car's side-view mirror motor is converted into a Mel-spectrogram image, consisting of a folding signal and an unfolding signal, and used as training data in this experiment. The proposed system is composed of an encoder and a decoder. The data extracted from the layer of the pretrained feature extractor are used as the decoder input data in the encoder. This information is used in the decoder by performing an interlayer cross-scale convolution operation. The experimental results indicate that the context information of various dimensions extracted from the interlayer hierarchical data improves the defect detection accuracy. This paper is notable because it uses acoustic data and a normalizing flow model to detect outliers based on the features of experimental data.

  • https://doi.org/10.3837/tiis.2023.06.001 인용 PDF HTML

Development of SaaS cloud infrastructure to monitor conditions of wind turbine gearbox (풍력발전기 증속기 상태를 감시하기 위한 SaaS 클라우드 인프라 개발)

  • Lee, Gwang-Se;Choi, Jungchul;Kang, Seung-Jin;Park, Sail;Lee, Jin-jae
    • Journal of the Korea Academia-Industrial cooperation Society
    • /
    • v.19 no.9
    • /
    • pp.316-325
    • /
    • 2018

  • In this paper, to integrate distributed IT resources and manage human resource efficiently as purpose of cost reduction, infrastructure of wind turbine monitoring system have been designed and developed on the basis of SaaS cloud. This infrastructure hierarchize data according to related task and services. Softwares to monitor conditions via the infrastructure are also developed. Softwares are made up of DB design, field measurement, data transmission and monitoring programs. The infrastructure is able to monitor conditions from SCADA data and additional sensors. Total time delay from field measurement to monitoring is defined by modeling of step-wise time delay in condition monitoring algorithms. Since vibration data are acquired by measurements of high resolution, the delay is unavoidable and it is essential information for application of O&M program. Monitoring target is gearbox in wind turbine of MW-class and it is operating for 10 years, which means that accurate monitoring is essential for its efficient O&M in the future. The infrastructure is in operation to deal with the gearbox conditions with high resolution of 50 TB data capacity, annually.

  • https://doi.org/10.5762/KAIS.2018.19.9.316 인용 PDF KSCI