• 제목/요약/키워드: Output Monitoring

검색결과 592건 처리시간 0.025초

디젤 발전기 출력 신호의 모니터링 및 엔진제어 릴레이 구동을 위한 입출력 인터페이스 회로 설계 (The Design of a I/O Interface Circuits for the Signal Driver of the Engine Control Relays and the Output Signal Monitoring of Diesel Generator)

  • 주재훈;김진애;최중경
    • 한국정보통신학회:학술대회논문집
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    • 한국해양정보통신학회 2009년도 춘계학술대회
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    • pp.547-550
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    • 2009
  • 본 논문에서는 선박용 비상 디젤 엔진 발전기 제어 및 모니터링을 위해 제안된 디지털 기반의 입/출력 인터페이스 회로를 소개한다. 선박용 비상 발전기의 동작 상태를 모니터링 하고 제어하기 위해 제어 및 감시 회로는 5개의 아날로그 입력 채널과 2개의 픽업(Pick-up) 코일 계측 회로, 브로컨 와이어(Broken Wire) 감지 기능을 가지는 10개의 디지털 입력 채널 및 7개의 릴레이 제어 신호 출력 채널이 요구된다. 본 연구에서는 아날로그 입력 단에 간단한 필터 회로와 포토커플러, 비교기 회로를 이용하여 입력신호에 대한 신호처리를 수행하였으며, 중요한 릴레이 출력 신호들은 이중으로 단속될 수 있도록 설계하여 오동작을 철저히 방지하였다. 그리고 픽업코일 신호를 디지털 처리하는 회로를 적용하여 속도 신호 입력의 정확성을 향상 시켰다.

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농업 로봇 용 수평 자세 모니터링 시스템 개발 (Development of Horizontal Attitude Monitoring System for Agricultural Robots)

  • 김성득;김청월;권익현;이영태
    • 반도체디스플레이기술학회지
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    • 제18권2호
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    • pp.87-91
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    • 2019
  • In this paper, we have development of horizontal attitude monitoring system for agricultural robots. A two-axis gyro sensor and a two-axis accelerometer sensor are used to measure the horizontal attitude angle. The roll angle and pitch angle were measured through the fusion of the gyro sensor signal and the acceleration sensor signal for the horizontal attitude monitoring of the robot. This attitude monitoring system includes GPS and Bluetooth communication module for remote monitoring. The roll angle and pitch angle can be measured by the error of less than 1 degree and the linearity and the reproducibility of the output signal are excellent.

Self-Diagnostic Signal Monitoring System of KWP2000 Vehicle ECU using Bluetooth

  • Choi, Kwang-Hun;Lee, Hyun-Ho;Lee, Young-Choon;Kwon, Tae-Kyu;Lee, Seong-Cheol
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2004년도 ICCAS
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    • pp.132-137
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    • 2004
  • On-Board Diagnostic(OBD) systems are in most cars and light trucks on the load today. During the 1970's and early 1980's manufacturers started using electronic means to control engine functions and diagnose engine problems. The CARB's diagnostic requirements to meet EPA emission standards have been designated as OBD with a goal of monitoring all of the emissions-related components, as well as the chassis, body, accessory devices and the diagnostic control network of the vehicle for proper operation. In this paper, we present a remote measurement system for the wireless monitoring of diagnosis signal and sensors output signals of ECU adopted KWP2000, united the OBD communication protocol, on OBD-compliant vehicle using the wirless communication technique of Bluetooth. In order to measure the ECU signals, the interface circuit is designed to communicate ECU and designed terminal wirelessly according to the ISO, SAE regulation of communication protocol standard. A microprocessor S3C3410X is used for communicating ECU signals. The embedded system's software is programmed to measure the ECU signals using the ARM compiler and ANCI C based on MicroC/OS kernel to communicate between bluetooth modules using bluetooth stack. The diagnostic system is developed using Visual C++ MFC and protocol stack of bluetooth for Windows environment. The self-diagnosis and sensor output signals of ECU is able to monitor using PC with bluetooth board connected in serial port of PC. The algorithms for measuring the ECU sensor output and self-diagnostic signals are verified to monitor ECU state. At the same time, the information to fix the vehicle's problem can be shown on the developed monitoring software. The possibility for remote measurement of self-diagnosis and sensor signals of ECU adopted KWP2000 in embedded system verified through the developed systems and algorithms.

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Neural Netwotk Analysis of Acoustic Emission Signals for Drill Wear Monitoring

  • Prasopchaichana, Kritsada;Kwon, Oh-Yang
    • 비파괴검사학회지
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    • 제28권3호
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    • pp.254-262
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    • 2008
  • The objective of the proposed study is to produce a tool-condition monitoring (TCM) strategy that will lead to a more efficient and economical drilling tool usage. Drill-wear monitoring is an important attribute in the automatic cutting processes as it can help preventing damages of the tools and workpieces and optimizing the tool usage. This study presents the architectures of a multi-layer feed-forward neural network with back-propagation training algorithm for the monitoring of drill wear. The input features to the neural networks were extracted from the AE signals using the wavelet transform analysis. Training and testing were performed under a moderate range of cutting conditions in the dry drilling of steel plates. The results indicated that the extracted input features from AE signals to the supervised neural networks were effective for drill wear monitoring and the output of the neural networks could be utilized for the tool life management planning.

태양광 발전 시스템의 스마트 모니터링 기술개발 (A Development of Smart Monitoring Technique for Photovoltaic Power Systems)

  • 조현철;심광열
    • 전기학회논문지P
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    • 제64권2호
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    • pp.50-56
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    • 2015
  • This paper presents a smart monitoring technique for photovoltaic power systems by using wire and wireless communication networks in which the RS-232/484 and the Zigbee communication networks are inherently established respectively. In the proposed monitoring systems, environmental data sequences and the output power measured by sensors in photovoltaic systems are transferred to PC systems via two communication networks. We made electronic hardware boards for sensors and communication networks to construct its real-time monitoring system and carry out experiments for demonstrating reliability of the proposed monitoring system.

A Design of Condition Monitoring System for Predictive Maintenance

  • Jeong, Hai-Sung;Kim, Heung H.;Sang K. Yun;Elsayed A. Elsayed
    • International Journal of Reliability and Applications
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    • 제2권1호
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    • pp.57-71
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    • 2001
  • Global competition to increase production output and to improve quality is spurring manufacturing companies to use condition monitoring and fault diagnostic systems for predictive maintenance. As monitoring, testing, and measuring techniques develop, predictive control of components and complete systems have become more practical and affordable. In this article, we will consider the computer based data acquisition system for condition monitoring and the condition parameter analysis techniques for fault detection and diagnostics in the machinery and briefly discuss reliability prediction and the limit value determination in condition monitoring.

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태양전지 변환효율 보정계수 도입에 의한 태양발전시스템 발전량 예측 (Photovoltaic System Output Forecasting by Solar Cell Conversion Efficiency Revision Factors)

  • 이일룡;배인수;심헌;김진오
    • 대한전기학회논문지:전기기기및에너지변환시스템부문B
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    • 제54권4호
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    • pp.188-194
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    • 2005
  • There are many factors that affect on the system output of Photovoltaic(PV) power generation; the variation of solar radiation, temperature, energy conversion efficiency of solar cell etc. This paper suggests a methodology for calculation of PV generation output using the probability distribution function of irradiance, PV array efficiency and revision factors of solar cell conversion efficiency. Long-term irradiance data recorded every hour of the day for 11 years were used. For goodness-fit test, several distribution (unctions are tested by Kolmogorov-Smirnov(K-S) method. The calculated generation output with or without revision factors of conversion efficiency is compared with that of CMS (Centered Monitoring System), which can monitor PV generation output of each PV generation site.

다중온도센서를 통한 입체적인 호소 온도모니터링 평가 (Spatial Reservoir Temperature Monitoring using Thermal Line Sensor)

  • 황기섭;박동순;정우성
    • 한국수자원학회:학술대회논문집
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    • 한국수자원학회 2006년도 학술발표회 논문집
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    • pp.1002-1006
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    • 2006
  • Temperature monitoring techniques per depth have been recognized as important information in the reservoir environmental issues. However, old measurement method by single temperature sensor and cable type has demerits not only for its limited measuring location but for its inconvenience of users. In this study, multi-channel temperature monitoring system was introduced and executed experiment for actual application feasibility evaluation. Both type of new techniques such as multi-channel addressable built-in temperature sensor and fiber optic multi sensor were tested in Daechung and Imha reservoir. As a result, it was proved that these kinds of temperature monitoring skills had very good performance and availability for a output of spatial, simultaneous thermal distribution focused on the user's convenience. And these measuring method and thermal data will be useful for providing basic information in a water resources investigation like reservoir stratification and environmental problems.

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동기 발전기 시스템의 실시간 모니터링 기술 개발 (A Development of Real-time Monitoring Techniques for Synchronous Electric Generator Systems)

  • 조현철
    • 전기학회논문지P
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    • 제66권4호
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    • pp.182-187
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    • 2017
  • Synchronous generators have been significantly applied in large-scale power plants and its monitoring systems are additionally established to sequentially observe states and outputs. We develop a computer based monitoring device for three-phase synchronous power generators in this paper. First, a test-bed of such generator system is created and then a interface board is constructed to transfer electric signals including the output voltage and the current from generators into a computer system via a data acquisition device. Its RMS(root-mean-square) values are continuously shown on a screen of computer systems and its time-histories graphs are additionally illustrated under a graphic user interface(GUI) mode. Lastly, we carry out real-time experiments using the generator system with the monitoring device to demonstrate its reliability and superiority by comparing results of a generic power analyzer which is well-used in measuring various power systems practically.

3축 가속도 센서를 이용한 자세 및 활동 모니터링 (Posture and activity monitoring using a 3-axis accelerometer)

  • 정도운;정완영
    • 센서학회지
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    • 제16권6호
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    • pp.467-474
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    • 2007
  • The real-time monitoring about the activity of the human provides useful information about the activity quantity and ability. The present study implemented a small-size and low-power acceleration monitoring system for convenient monitoring of activity quantity and recognition of emergent situations such as falling during daily life. For the wireless transmission of acceleration sensor signal, we developed a wireless transmission system based on a wireless sensor network. In addition, we developed a program for storing and monitoring wirelessly transmitted signals on PC in real-time. The performance of the implemented system was evaluated by assessing the output characteristic of the system according to the change of posture, and parameters and acontext recognition algorithm were developed in order to monitor activity volume during daily life and to recognize emergent situations such as falling. In particular, recognition error in the sudden change of acceleration was minimized by the application of a falling correction algorithm