• 제목/요약/키워드: Noise Monitoring

검색결과 954건 처리시간 0.023초

2007년도 기상청 신설 및 이전 지진관측소의 배경잡음 특성 연구 (2007 Ambient noise levels study about new and moving seismic stations at KMA)

  • 전영수;남성태;신동훈;조범준
    • 한국지구물리탐사학회:학술대회논문집
    • /
    • 한국지구물리탐사학회 2007년도 공동학술대회 논문집
    • /
    • pp.163-166
    • /
    • 2007
  • KMA established short period seismometer, accelerometer, and ocean bottom seismometer network to build the detail earthquake monitoring system and Tsunami monitoring system. KMA also replaced borehole seismometer and wave height meter monitoring system. The purposes of this study are to record the ambient seismic noise levels of short period seismometer and accelerometer installed in 2006 and 2007, and compare their characteristics to present the standard of site selection criteria.

  • PDF

소음 측정망 자료를 이용한 용도지역별 소음변화 분석 (Analysis of the Noise Variation on Land Use Using Data of Noise Monitoring Network)

  • 어재훈;유환희
    • 대한공간정보학회지
    • /
    • 제18권3호
    • /
    • pp.91-96
    • /
    • 2010
  • 도시는 유기체와 같이 외형적 확산과 내부공간구조가 끊임없이 변화하며, 교통 정보 통신기술의 발달에 따라 변화의 속도와 형태를 달리해 왔다. 특히 교통의 발달은 도시 외형적 성장에 있어서 가장 중요한 원인이 되었으며 이러한 교통체계는 토지이용의 변화에서 비롯되었고 소음 등 각종 환경문제를 야기하였다. 본 논문은 국가소음정보시스템에서 제공되는 소음측정망 자료를 이용하여 용도지역별 소음변화특성을 분석하였다. 그 결과 도시공간상의 용도지역별 소음분포를 파악할 수 있었으며 이를 이용하여 용도지역별 소음지도를 제작할 수 있는 기반을 조성 할 수 있었다.

위너 필터와 충격 펄스 카운팅을 이용한 저속 기계용 구름 베어링의 결함 검출 (Fault Detection of Rolling Element Bearing for Low Speed Machine Using Wiener Filter and Shock Pulse Counting)

  • 박성택;원종일;박성범;우흥식
    • 한국소음진동공학회논문집
    • /
    • 제22권12호
    • /
    • pp.1227-1236
    • /
    • 2012
  • The low speed machinery faults are usually caused by the bearing failure of the rolling elements. As the life time of the bearing is limited, the condition monitoring of bearing is very important to maintain the continuous operation without failures. A few monitoring techniques using time domain, frequency domain and fuzzy neural network vibration analysis are introduced to detect and diagnose the faults of the low speed machinery. This paper presents a method of fault detection for the rolling element bearing in the low speed machinery using the Wiener filtering and shock pulse counting techniques. Wiener filter is used for noise cancellation and it clearly makes the shock pulse emerge from the time signal with the high level of noise. The shock pulse counting is used to determine the various faults obviously from the shock signal with transient pulses not related with the bearing fault. Machine fault simulator is used for the experimental measurement in order to verify this technique is the powerful tool for the low speed machine compared with the frequency analysis. The test results show that the method proposed is very effective parameter even for the signal with high contaminated noise, speed variation and very low energy. The presented method shows the optimal tool for the condition monitoring purpose to detect the various bearing fault with high accuracy.

무선 인터넷 시스템을 이용한 소음 오염도 측정 (Wireless Lan System And Its Applying to the Environment Noise Mapping)

  • 김흥섭;이상권
    • 한국소음진동공학회:학술대회논문집
    • /
    • 한국소음진동공학회 2002년도 춘계학술대회논문집
    • /
    • pp.286-289
    • /
    • 2002
  • This paper proposes wireless fan system as noise measurement system. It is easy to combine measurement system(Hardware) and analytic system(software) to the Wireless tan system. Thus wireless fan system can be applied to noise mapping system and noise monitoring system. This paper show noise measurement experiment and result using wireless lan system.

  • PDF

SVM을 이용한 버터플라이 밸브의 캐비테이션 상태감시 (Cavitation Condition Monitoring of Butterfly Valve Using Support Vector Machine)

  • 황원우;고명환;양보석
    • 한국소음진동공학회논문집
    • /
    • 제14권2호
    • /
    • pp.119-127
    • /
    • 2004
  • Butterfly valves are popularly used in service in the industrial and water works pipeline systems with large diameter because of its lightweight, simple structure and the rapidity of its manipulation. Sometimes cavitation can occur. resulting in noise, vibration and rapid deterioration of the valve trim, and do not allow further operation. Thus, the monitoring of cavitation is of economic interest and is very importance in industry. This paper proposes a condition monitoring scheme using statistical feature evaluation and support vector machine (SVM) to detect the cavitation conditions of butterfly valve which used as a flow control valve at the pumping stations. The stationary features of vibration signals are extracted from statistical moments. The SVMs are trained, and then classify normal and cavitation conditions of control valves. The SVMs with the reorganized feature vectors can distinguish the class of the untrained and untested data. The classification validity of this method is examined by various signals that are acquired from butterfly valves in the pumping stations and compared the classification success rate with those of self-organizing feature map neural network.

Anti-interference Methods using Vector-based GPS Receiver Mode

  • Viet, Hoan Nguyen;Lee, Suk-Hwan;Kwon, Ki-Ryong
    • 한국멀티미디어학회논문지
    • /
    • 제21권5호
    • /
    • pp.545-557
    • /
    • 2018
  • The Global Positioning System (GPS) has become popular and widely used in many fields from military to civilian applications. However, GPS signals are suffered from interference due to its weak signal over wireless channel. There are many types of interference, such as jamming, blocking multipath, and spoofing, which can mislead the operation of GPS receiver. In this paper, vector-based tracking loop model with integrity check is proposed to detect and mitigate the harmful effect of interference on GPS receiver operation. The suggested methods are implemented in the tracking loop of GPS receiver. As a first method, integrity check with carrier-to-noise ratio (C/No) monitoring technique is applied to detect the presence of interference and prevent contaminated channels out of tracking channels to calculate position. As a second method, a vector-based tracking loop using Extended Kalman Filter with adaptive noise covariance according to C/No monitoring results. The proposed methods have been implemented on simulated dataset. The results demonstrates that the suggested methods significantly mitigate interference of Additive White Gaussian Noise (AWGN) and improve position calculation by 44%.

간극이 있는 링크구동계의 상태진단 (Condition Monitoring of Link Driving System with Clearance)

  • 최연선;민선환
    • 소음진동
    • /
    • 제11권1호
    • /
    • pp.125-131
    • /
    • 2001
  • There is a clearance between the parts of a machine due to design tolerance, manufacturing error, wear, looseness, or misalignment. If the clearance is large, the vibration and noise of the machine is generally large. Therefore, the analysis on the nitration and noise of a machine can tell the clearance of the machine, which reveals the condition of the machine, i.e., the existence of faults and the safety of the machine. The investigation of this kind of research should be on the basis of experimental results. A link mechanism with a clearance at a joint between the coupler and locker is made for the investigation of the condition monitoring of a machine due to clearance. The vibration and sound are measured from the link driving system during the operation. The signals are clarified using line enhancement technique. The noise removed signals are used to develop the dynamic model of the system for a model based fault diagnosis. Also this study showed that the clarified signals can be used for the calculation of the joint forces between the coupler and rocker and for the correlation between the vibration and sound levels and the clearance sizes.

  • PDF

Implementation of Extended Kalman Filter for Real-Time Noncontact ECG Signal Acquisition in Android-Based Mobile Monitoring System

  • Rachim, Vega Pradana;Kang, Sung-Chul;Chung, Wan-Young;Kwon, Tae-Ha
    • 센서학회지
    • /
    • 제23권1호
    • /
    • pp.7-14
    • /
    • 2014
  • Noncontact electrocardiogram (ECG) measurement using capacitive-coupled technique is a very reliable long-term noninvasive health-care remote monitoring system. It can be used continuously without interrupting the daily activities of the user and is one of the most promising developments in health-care technology. However, ECG signal is a very small electric signal. A robust system is needed to separate the clean ECG signal from noise in the measurement environment. Noise may come from many sources around the system, for example, bad contact between the sensor and body, common-mode electrical noise, movement artifacts, and triboelectric effect. Thus, in this paper, the extended Kalman filter (EKF) is applied to denoise a real-time ECG signal in capacitive-coupled sensors. The ECG signal becomes highly stable and noise-free by combining the common analog signal processing and the digital EKF in the processing step. Furthermore, to achieve ubiquitous monitoring, android-based application is developed to process the heart rate in a realtime ECG measurement.

윤축의 소음 및 진동과 고속선 궤도불규칙간의 관계에 대한 기초연구 (A Relationship between the Noise and Vibration of a Wheelset and the Irregularity of a High-speed Railway: A Preliminary Research)

  • 이준석;최성훈;김상수;박춘수
    • 한국철도학회:학술대회논문집
    • /
    • 한국철도학회 2009년도 춘계학술대회 논문집 특별세미나,특별/일반세션
    • /
    • pp.409-417
    • /
    • 2009
  • This paper is focused on a relationship between the noise and vibration of a wheelset and the railway irregularity of a high speed railway using a time-varying frequency transform for a preliminary research of the railway condition monitoring by an in-service high-speed railway vehicle. Generally, the monitoring has been performed by a special railway inspection vehicle or industrial engineers for railway maintenance. However, they have been limited at night due to the in-service high-speed railway vehicles, and too slow to monitor all of the section. To solve this problem, the monitoring should be performed by an in-service high-speed railway vehicle. For the research, the noise and vibration of a wheelset are utilized, because they are closely related to the railway condition. They are measured by using some microphones and accelerometers, and stored in an on-board data acquisition system. The signals are post-processed by a time-varying frequency analysis and compared with the result of a railway geometry and profile measurement system. From the comparison, it is able to observe the relationship between the noise and vibration of a wheelset and the irregularity of a high-speed railway. Also, some distinct frequency components are observed, which are not observed in the railway geometry and profile.

  • PDF

자동차검사 공정 근로자의 소음노출 특성 (Workers' Exposure Characteristics to Noise in Car Inspection Processes)

  • 장재길;김종규
    • 한국소음진동공학회논문집
    • /
    • 제24권11호
    • /
    • pp.854-860
    • /
    • 2014
  • Workers engaged in car inspection works have been exposed to many occupational hazards including noise, particulate matter, and volatile organic substances. Noise-induced hearing loss(NIHL) is one of the leading health hazards among Korean workers. The aim of this study is to evaluate the noise levels in several car inspection shops by introducing the evaluation methods of KMOEL/OSHA and ACGIH. Six sites in central area of Korea were selected to monitor the noise levels of workers by personal and area sampling methods for two consecutive days in spring, summer, fall and winter seasons. Dosimeters have been used for this noise monitoring program. Obtained noise levels by the evaluation method according to KMOEL/OSHA are the range of 50.2~88.2 dB(A), these are lower than KOEL/OSHA standards level of 90 dB(A). But highest noise by ACGIH's evaluation methodology is recorded 92.3 dB(A) and is greater than NIHL standard level of 85 dB(A). So that many workers may be exposed to the dangerous noise environment. The higher the car inspection loads daily, the higher the noise levels in the sites. Seasonal fluctuation of noise levels at the process might give monitoring results with high variations. Area noise levels showed higher than those of personal sampling, which illustrate some high noise spots in the car inspection areas.