• Proceedings of the Korean Society of Computer Information Conference
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• 2019.07a
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• pp.11-12
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• 2019

본 논문에서 에스컬레이터 기계실 내부 전동기, 감속기, 구동 체인의 IoT 소음 및 진동 센서를 부착하여 에스컬레이터 운영중 실시간 상태 감시가 가능한 IoT 기반 에스컬레이터 고장 예지 시스템을 제안한다. IoT 소음 및 진동 센서는 에스컬레이터 운영 중 발생하는 소음 및 진동 데이틀 수집하여 PHM(Prognostics and Health Management) 서버로 전송하며, 서버에서는 진단 알고리즘을 통해 고장 유 무를 판단한다. 소음 데이터를 이용한 체인 피치 길이 알고리즘을 검증하기 위하여 실제 체인의 길이를 측정한 결과 값과 비교한 결과 99.8% 정확도를 가지며, 진동 데이터를 이용하여 전동기, 감속기의 상태 판단을 위한 알고리즘 검증을 위해 AST 사의 진동 센서와 비교한 결과 약간의 오차는 발생하지만 ISO 10816-3을 기준으로 한 판단 결과 값은 동일한 결과 값을 가지는 것을 확인하였다.

• Transactions of the Korean Society of Mechanical Engineers
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• v.17 no.8
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• pp.2061-2068
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• 1993

Condition monitoring technology is of great importance for the maintenance of complex machinery in view of its early monitoring of the abnormal condition and the protection against failure. Several methods have been used for the detection of failure of journal bearings, one of the main elements of mechanical system. The methods most frequently used are vibration and temperature monitoring, but these are unable to monitor the wear conditions exactly. In this study, an ultrasonic measument method, one of the non-destructive testing methods, was introduced as the monitoring technology. Furtermore a pattem recognition method was applied to analyze the ultrasonic signal. The monitoring system using the pattern recognition method is composed of digital signal processing units and uses Hamming net algorithm for the recognition of ultrasonic waves. From the journal bearing wear test, the occurrence of adhesive wear of the white metal in rubbing contact with the shaft was exactly detected by this system, and the wear status of the journal bearing was monitored by measuring the wear thickness.

• Journal of Power System Engineering
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• v.12 no.6
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• pp.18-23
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• 2008

This paper describes development of real-time condition monitoring system to observe state of a container crane in a port. To analyze the state of a crane, the strength and the direction of wind are measured with sensors along with the load resulted a crane at the moment. The measured signals are processed by especially developed conditioning board and converted into digital data. Measured data are analyzed to define the state of the crane at an indicator. For transmission of these data to the indicator, we implemented wireless sensor network based on IEEE 802.15.4 MAC(Media Access Control) protocol and Bluetooth network protocol. To extend the networking distance between the indicator and sensor nodes, the shortest path routing algorithm was applied for WSN(Wireless Sensor Network) networks. The indicator sends the state information of the crane to monitoring server through IEEE 802.11 b wireless LAN(Local Area Network). Monitoring server decides whether alarm should be issued or not. The performance of developed WSN and Bluetooth network were evaluated and analyzed in terms of communication delay and throughput.

• Proceedings of the Korean Society for Agricultural Machinery Conference
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• 2002.02a
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• pp.86-91
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• 2002

이상의 연구를 요약하면 다음과 같다. 1. 시비량의 계산식에 의해 계산된 실제 비료의 투입예정량은 균일시비구획은 86.74kg, 변량 시비구획은 80.84kg이였고, 실제 변량시비구획에 살포된 비료의 양은 68.76kg로서 투입 예상량의 -14.94%로 나타났다. 2. 실제 투입된 비료의 양이 적은 것은 74번에서 78번사이의 구획에서 호퍼의 출구에 덩어리진 비료에 의해 막혀 비료가 살포되지 않았던 것과 28번 구획에서 호퍼안의 비료가 바닥나서 비료가 살포되지 않았던 것이 주된 원인으로 확인되었다. 3. 벼의 질소보유량으로 계산된 예상 시비량과 실제 모터의 회전수에 의해 계산된 실제 시비량과의 관계는 Y=-0.063+0.912X라는 회기직선으로 나타났고, r값은 0.965로서 변량살포 작업은 74번∼78번, 28번 구획을 제외하고는 잘 된 것으로 평가되었다. 4. 수확량과 CV값은 전 구획에서 7.04t/ha, 7.71%로서 균일시비구획에서는 7.13t/ha, 4.84%, 변량시비구획에서는 6.96t/ha, 9.77%로 나타났다. 변량시비구획에서 수확량이 적고 CV값이 크게 나타난 이유는 x9구획의 생육상태가 좋지 않았기 때문이며 변량시비구획에서 x9구획의 데이터를 제외한 결과는 수확량이 7.16t/ha, CV값은 7.91%로 나타났다. 5. 변량시비를 적용하여 시비량을 15% 줄이더라도 수확량에는 커다란 변동이 없다는 것을 확인할 수 있었고 좀더 정확한 생육진단과 관리가 이루어진다면 각 구획에서 수확량의 변동을 줄이는 것이 가능하리라 생각한다.

• Tribology and Lubricants
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• v.37 no.2
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• pp.41-47
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• 2021

An experimental device was developed for analysis of hydraulic oil characteristics with dielectric constant sensors. Online analysis is the most effective method of the three methods used for analyzing lubricant oils. This is because it can monitor the machine condition effectively using oil sensors in real time without requiring excellent analysis skill and eliminates human errors. Determining the oil quality usually requires complex laboratory equipment for measuring factors such as density, viscosity, base number, acid number, water content, additive, and wear debris. However, the electric constant is another indicator of oil quality that can be measured on-site. The electric constant is the ratio of the capacitance of a capacitor using that material as a dielectric, compared with a similar capacitor that has a vacuum as its dielectric. The electric constant affects the factors such as the base oil, additive, temperature, electric field frequency, water content, and contaminants. In this study, the tendency of the electric constant is investigated with a variation of temperature, water content, and dust weight. The experimental device can control working temperature and mix the contaminants with oil. A machine condition monitoring program developed to analyze hydraulic oil is described. This program provides graph and digital values with variation of time. Moreover, it includes an alarm system for when the oil condition is bad.

• Tribology and Lubricants
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• v.37 no.6
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• pp.203-207
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• 2021

This study presents the development of dielectric constant sensors to measure lubricant properties. The lubricant oil sensor is used to measure oil properties and machine conditions. Various condition monitoring methods are applied to diagnose machine conditions. Machine condition monitoring using oil sensors has advantage over other machine condition monitoring methods. The fault conditions can be noticed at the early stages by the detection of wear particles using oil sensors. Therefore, it provides an early warning in the failure procedure. A variety of oil sensors are applied to check the machine condition. Among all oil sensors, only one sensor can measure the tendency of several properties such as acidity and water content. A dielectric constant sensor is also used to measure various oil properties; therefore, it is very useful. The dielectric constant is the ratio of the capacitance of a capacitor using that material as a dielectric to that of a similar capacitor using vacuum as its dielectric. The dielectric constant has an effect on water content, contaminants, base oil, additive, and so forth. In this study, the dielectric constant sensor is fabricated using MEMS process. In the fabrication process, the shape, gap of the electrode array, and thickness of the insulation material are considered to improve the sensitivity of the sensor.

• Tribology and Lubricants
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• v.40 no.4
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• pp.139-143
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• 2024

This study evaluates the sensitivity of a ferrous particle sensor in response to changes in viscosity in a gearbox. Composed of various gears, the gearbox typically occurs significant ferrous wear due to gear contact. Condition monitoring is primarily implemented by measuring the number of ferrous wear particles in the lubricant. Gearboxes are critical in many systems, including wind turbines, for facilitating changes in speed and torque. Therefore, technology to monitor ferrous particles in gearboxes is essential. In this study, a simplified gearbox is numerically modeled to assess sensor sensitivity based on viscosity and sensor position. Three sensor positions are considered: one directly beneath the gear and two at locations farther from the gear. Analyses are conducted using lubricants with low viscosity and gear oil. Sensor sensitivity is defined by the number of ferrous particles adhering to the sensor, where more particles indicated higher sensitivity. The evaluation reveals that the position directly beneath the gear exhibits the highest sensitivity due to direct influence from the main flow. To achieve optimal sensitivity, sensors should be installed in the main flow path as determined by flow analysis. Evaluation of sensor sensitivity with changes in viscosity shows that a higher viscosity results in a lower sensor sensitivity. Therefore, for ease of analysis, performing an analysis under low-viscosity conditions is useful for understanding the main flow and for identifying the optimal location for proper sensor position.

• Tribology and Lubricants
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• v.14 no.2
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• pp.75-81
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• 1998

Condition monitoring technology was applied for an air compressor lubricating system to achieve a proactive maintenance, which could prevent a catastrophic failure and detect root causes of the conditional failure of the system. For this work, various types of wear monitoring technology were used and compared with the results of vibration and temperature measurements. The Results generally showed that every technology has a limitation to failure detection, and integrated-based condition monitoring should be performed for the best results. In this work, an idea for the implementing integrated wear monitoring was suggested and demonstrated.

• Tribology and Lubricants
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• v.18 no.4
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• pp.285-290
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• 2002

Integrated condition monitoring is required to monitor effectively the machine conditions since machine failures could not be monitored accurately by any single measurement parameter. Application of various condition monitoring techniques is therefore preferred in many cases in order to diagnosis the machine condition. However it inevitably requires lots of maintenance cost and sometimes it could be proved to over-maintenance unnecessarily. This could happen especially when one measurement parameter closely correlates to another. Therefore correlation analysis of various monitoring parameters has to be performed to improve the reliability of diagnosis. In this work, Pearson correlation coefficient was used to analyze the correlation between condition monitoring parameters of an over-loaded machine system where the vibration, wear and temperature were monitored simultaneously. The result showed that Pearson correlation coefficient could be regarded as a good measure for evaluating the availability of condition monitoring technology.

• Proceedings of the KIEE Conference
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• summer
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• pp.458-460
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• 2004

최근의 전력계통의 대형화와 고용량화로 인하여, 전력계통의 안정적으로 운용에 대한 기대가 절실히 요구되고 있다. 이처럼 계통은 안정적으로 운용하기 위하여 계퉁운용상에 발생하는 사고 및 과도상태를 신속, 정확하게 분석하고 판단함으로서 사고구간을 제거하고 피해구간을 최소화 할 수 있는 보호계전 협조와 실제 계통상에서 발생할 수 있는 다양한 사고를 분석하고 진단할 수 있는 향상된 보호계전 알고리즘 개발을 위한 연구가 필요하다. 따라서, 개발 혹은 개선된 보호계전 알고리즘의 평가를 위하여 다양한 사고 모의가 필요하며, 아울러 이를 기계장치 혹은 보호계전기 하드웨어를 시험할 수 있는 시뮬레이터 장치의 구성이 선행되어야 한다. 본 논문에서는 전력계통 과도현상 모의 프로그램인 PSCAD/EMTDC를 이용하여 다양한 계통 사고 모의하며, 결과 사고 데이터를 활용하여 보호계전 알고리즘을 평가하고자 한다. 한괸, 모의한 사고 데이터를 실시간으로 재현하기 위하여 고성능 DAC 인터페이스 장치를 활용하여 구현하고 다양한 사고 데이터를 데이터베이스 형식의 자료 구조로 구성하여, 대상 계전기 장치의 성능과 알고리즘을 검증하기 위한 시뮬레이터를 제안하고자 한다.