• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.1
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• pp.538-543
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• 2016

For a good product quality and plant safety, it is necessary to implement the on-line monitoring and diagnosis schemes of industrial processes. Combined with monitoring systems, reliable diagnosis schemes seek to find assignable causes of the process variables responsible for faults or special events in processes. This study deals with the real-time diagnosis of complicated industrial processes from the intelligent use of multivariate statistical techniques. The presented diagnosis scheme consists of a classification-based diagnosis using nonlinear representation and filtering of process data. A case study based on the simulation data was conducted, and the diagnosis results were obtained using different diagnosis schemes. In addition, the choice of future estimation methods was evaluated. The results showed that the performance of the presented scheme outperformed the other schemes.

• Proceedings of the KIEE Conference
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• 2007.07a
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• pp.1807-1808
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• 2007

본 연구에서는 반도체 플라즈마 공정감시와 제어에 응용될 수 있는 모델을 제안한다. 본 모델은 광반사분광기(OES)정보와 신경망을 이용해서 개발하였으며, OES의 차수를 줄이기 위해 주인자 분석을 세 종류의 분산 (100, 99, 98%)에 대해서 적용하였다. 모델의 예측성능은 유전자 알고리즘을 이용하여 최적화하였다. 제안하는 모델링 방식은 MERIE를 이용한 Oxide 식각공정에 적용하였으며, 개발된 모델은 발표된 이전의 모델에 비해 증진된 예측성능을 보였다.

• Journal of Welding and Joining
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• v.16 no.6
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• pp.7-16
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• 1998

• 열병합발전
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• s.81
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• pp.24-28
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• 2011

• Proceedings of the Korean Radioactive Waste Society Conference
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• 2005.11a
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• pp.275-275
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• 2005

• Journal of Welding and Joining
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• v.23 no.3
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• pp.31-33
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• 2005

• Journal of Welding and Joining
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• v.18 no.4
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• pp.11-19
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• 2000

• Korea Petroleum Association Journal
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• no.1 s.167
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• pp.32-33
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• 1995

이 자료는 지난 12월 13일 서울교육문화회관에서 열린 석유협회 주최 석유세미나에서 행한 인사말을 옮긴 것이다. <편집자주>

• Proceedings of the Korean Institute of Surface Engineering Conference
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• 2009.10a
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• pp.107-107
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• 2009

• Transactions of the Korean Society of Mechanical Engineers A
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• v.32 no.12
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• pp.1140-1145
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• 2008

In conventional cutting system of Heat-Shrink-Tube, workers operate cutting system after considering about length and quantity of heat-shrink-tube. So, not only work time and production cost is increased but also material is wasted because the data that workers have to consider is so much. In this paper, an effective cutting system of heat-shrink-tube was developed to reduce production cost, work time and waste of material. The cutting system consists of a supervisory computer installed inside a control room, a on-site computer installed on the work area, and a PLC system. In the developed system, a supervisory computer send work order to the on-site computer using LAN and the on-site computer operates the cutting system of the heatshrink-tube after it makes an array production order. Also, the on-site computer reports information to the supervisory computer when an accident happened.