• Title/Summary/Keyword: process-monitoring

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Application of the Determination Method of Monitoring Location in Real Water Distribution System (실제 상수관망에 대한 모니터링 지점선정방법의 적용)

  • Park, Yong-Gyun;Jung, Sung-Gyun;Kwon, Hyuk-Jae
    • Journal of Korean Society of Water and Wastewater
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    • v.29 no.6
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    • pp.617-623
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    • 2015
  • In this study, determination methods of monitoring location in water distribution system were suggested and applied to real test bed. Small block of Gwangtan water distribution system is consisted of 582 pipes, 564 junctions, 1 reservoir, and 1 pump station. Small block of Ho Chi Minh water distribution system is consisted of 162 pipes, 148 junctions, and 1 reservoir. Two small block water distribution systems were analyzed by pressure contribution analysis method to determine the optimum monitoring locations. The pressure change was estimated at each junctions by the additional demand at a junction. From the results, the optimum monitoring location can be determined by rank of pressure contribution index at each junctions due to demand change at a junction.

Model-Based Monitoring of the Turning Force (모델에 근거한 선삭력 모니터링)

  • 허건수
    • Proceedings of the Korean Society of Machine Tool Engineers Conference
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    • 1999.10a
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    • pp.11-15
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    • 1999
  • Monitoring of the cutting force signals in cutting process has been well emphasized in machine tool communities. Although the cutting force can be directly measured by a tool dynamometer, this method is not always feasible because of high cost and limitations in setup. In this paper an indirect cutting force monitoring system is developed so that the cutting force in turning process is estimated based on a AC spindle drive model. This monitoring system considers the cutting force as a disturbance input to the spindle drive and estimates the cutting force based on the inverse dynamic model. The inverse dynamic model represents the dynamic relation between the cutting force, the motor torque and the motor power. The proposed monitoring system is realized on a CNC lathe and its estimation performance is evaluated experimentally.

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Quality Control System Based on Cbm in Injection Molding Product (CBM 기반의 사출품 품질 관리 시스템)

  • Park, Hong-Seok;Kim, Jong-Su
    • Transactions of the Korean Society of Machine Tool Engineers
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    • v.18 no.2
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    • pp.178-186
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    • 2009
  • Most of automotive plastic parts are injection molding products. Inspection of total product is impossible, because number of product to inspect is too many and various. Condition-based Monitoring was proposed to decrease cost and time for inspecting. In this research, a system that predicts quality of part at fabrication point of time, and confirms informations through the internet was developed. Cavity sensors were installed inside of mold, and gathered signals as measuring, and through this process Sensor-based Monitoring system can be observed manufacturing of a part. Monitoring system transmits signals to client through the internet, and finally developed system provides manufacturing informations and predictions of quality as web-based monitoring.

Relation of AE and Polishing Parameters for Polishing Process Monitoring (연마가공감시를 위한 AE와 연마파라미터의 관계)

  • Kim, Hwa-Young;Kim, Jeong-Uk;Yoon, Hang-Mook;Ahn, Jung-Hwan;Kim, Sung-Ryul
    • Journal of the Korean Society for Precision Engineering
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    • v.22 no.10 s.175
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    • pp.90-98
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    • 2005
  • A monitoring system is necessary to make the polishing process more reliable in order to ensure the high quality and performance of the final products. Generally, AE (Acoustic Emission) is known to be closely related to the material removal rate (MRR). As the surface becomes rougher, the MRR and AE increase. Therefore, the surface roughness can be indirectly estimated using the AE signal measured during the polishing. In this study, an AE sensor-based monitoring system was fabricated to detect the very small AE signal resulting from the friction between a tool and a workpiece during polishing. The performance of this monitoring system was estimated according to polishing conditions, the relation between the level of the AE RMS and the surface roughness during the polishing was investigated.

Monitoring system of laser materials processing using chromatic modulation technique (색변조 기술을 이용한 레이저 가공 공정 모니터링 시스템)

  • 이종명
    • Laser Solutions
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    • v.4 no.2
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    • pp.29-38
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    • 2001
  • A development of in-process and reliable monitoring system in laser materials processing is essential for successful applications toward the real industrial fields. It was known that optical signals induced by laser-matter interactions provide a good indication not only to monitor various defects but also to characterize and identify the process However there are still difficulties to implement the optical monitoring system in real fields since the system is susceptible to the spurious change of the signal affected by the variation of experimental conditions and environmental noises. In this article. a new type of optical monitoring technique named 'chromatic modulation technique' is described as a reliable, robust and sensitive monitor for the applications in laser materials processing in order to tackle the conventional problems in optical system.

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The Study of Distributed Disturbance Recording System (분산형 사고파형저장 시스템에 대한 연구)

  • Park, Jong-Chan;Lee, Se-In
    • The Transactions of the Korean Institute of Electrical Engineers P
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    • v.57 no.1
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    • pp.30-35
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    • 2008
  • In this paper, the application of power Quality monitoring based on Sampled Value(SV) which is introduced in the IEC61850 International Standard for substation communication are discussed. Firstly, while Merging Unit(MU) is designed as a process level device transmitting sensor data, the practical problems such as time delay compensation and optical fiber communication are encountered. Secondly, the Sampled Value message which is proper to a power quality monitoring system is presented. Because the power quality monitoring system requests less time-critical service compared to protection and control applications, the Sampled Value service message structure is introduced to improve efficiency. Lastly, the power quality monitoring server having various power quality analysis functions is suggested to verify the performance of Merging Unit With the diverse experiments, it is proved that the process bus distributed solution is flexible and economic for the power quality monitoring.

Practical Reliability Growth Management for RAM Growth Monitoring (RAM 성장모니터링을 위한 실용적인 신뢰성 성장관리)

  • Jung Won
    • Proceedings of the KSR Conference
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    • 2005.11a
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    • pp.258-263
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    • 2005
  • The purpose of this research is to present a practical method for efficiently monitoring a reliability growth process using AMSAA(Army Materiel Systems Analysis Activity) reliability growth model. The presented method is viable for identifying failure modes, incorporating design changes and monitoring reliability progress on an on-going basis during the early stages of a product development program. According to the Application Guide for EN 50126(RAM part for Rolling Stock), reliability growth monitoring is essential part of the main tasks of design phase in RAM growth monitoring. Implementation of reliability growth management program will provide very useful information on concept selection, product/process reliability, and cost effectiveness without too much time, money and engineering effort being spent on the development of failure suspect parts.

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Energy Consumption Monitoring System for Each Axis of Machining Center (머시닝 센터의 각 축별 에너지 모니터링 시스템)

  • Kim, Jae Hyeok;Nam, Sung Ho;Lee, Dong Yoon
    • Journal of the Korean Society for Precision Engineering
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    • v.32 no.4
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    • pp.339-344
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    • 2015
  • Machine tools are one of the energy-intensive equipment used in the manufacturing industry. The importance of energy has increased and the machine tools are required to be energy-efficient. The servo systems of the machine tool consume electrical power to rotate a spindle and to feed a tool during machining. Servo system consumes a lot of energy when the machine tool is operated. The energy consumption pattern of each axis needs to be investigated in order to optimize the machining process with regard to energy cost. In this paper, an energy monitoring system is developed considering various measuring points of servo system in order to grasp the energy consumption pattern of each axis.

와이어 인발가공에 있어서 AE법의 적용에 관한 연구

  • 박준서;최만용;한응교;삼경언
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 1991.11a
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    • pp.95-100
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    • 1991
  • From a manufacturing standpoint it would be desirable to monitor the degradation of drawing die, that is essential for the maintenance of quality, the evaluation of product integrity and the reducing scrap. Acoustic emission is powerful method in monitoring fine wire drawing process, especially in detecting the die fracture at early stage. Experiments at so suggested that acoustic emission signals contained valuable information regarding the stage of a drawing process such as the surface appearance of products and the condition of lubrication. Using these informations makes AE monitoring techniques a possible tool in monitoring the drawing process operation. In order to approach this, this paper discusses the nature of acoustic emission signals produced in drawing process under various conditions. Experimental results are presented which illustrate the effects of wire and die material, lubricants, and drawing speed on the generation and the mean voltage level of acoustic emission signals. The results from these tests give controlling factors of acoustic emission generation.

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Solvent Manufacturing Process Monitoring using Artificial Neural Networks

  • Lim, Chang-Gyoon
    • Journal of the Korean Institute of Intelligent Systems
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    • v.15 no.2
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    • pp.264-269
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    • 2005
  • Advances in sensors, actuators, and computers and developments In information systems offer unprecedented opportunities to implement highly ambitious automation, control and decision strategies. There are also new challenges and demands for control and automation in modern industrial practices. There is a growing need for an active participation from the information systems in industrial, manufacturing and process industry environments because currently there are many control problems. This paper provides pattern recognition to the monitoring system for solvent manufacturing process and shows performance in real-time response with multiple input signals. Data is teamed by a multilayer feedforward network trained by error-backpropagation. The two kinds of test results show that the trained network has the ability to show the current system status with different input data sets.