• Journal of Advanced Marine Engineering and Technology
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• 제24권3호
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• pp.20-28
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• 2000

Air wiping technique is widely used because of easy and efficient coating control in present CGL The coating weight is controlled by nozzle header pressure. strip line speed, and the distance between strip and nozzle. Coating defects are resulted from the unbalance of these control factors and the inaccuracy of coating equipments. We investigates the main cause of coating defects, such as edge overcoating and coating deviation through various experiments. It is found that the edge overcoating is mainly come from nozzle lip type, and the coating deviation is caused by the unbalance of dynamic pressure.

• 융합신호처리학회논문지
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• 제21권3호
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• pp.121-126
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• 2020

소리 기반 기계 고장 진단은 기계의 음향 방출 신호에서 비정상적인 소리를 자동으로 감지하는 것이다. 수학적 모델을 사용하는 기존의 방법은 기계 시스템의 복잡성과 잡음과 같은 비선형 요인이 존재하기 때문에 기계 고장 진단이 어려웠다. 따라서 기계 고장 진단의 문제를 딥러닝 기반 이미지 분류 문제로 해결하고자 한다. 본 논문에서 스펙트로그램 이미지를 이용한 CNN 기반 자동화 기계 고장 진단 기법을 제안한다. 제안한 방법은 기계의 결함 시 발생하는 주파수상의 특징 벡터를 효과적으로 추출하기 위해 STFT를 사용하였으며, STFT에 의해 검출된 특징 벡터들은 스펙트로그램 이미지로 변환하여 CNN을 이용해 기계의 상태별로 분류한다. 그 결과는 제안한 방법은 효과적으로 결함을 탐지할 뿐만 아니라 소리 기반의 다양한 자동 진단 시스템에도 효과적으로 활용될 수 있다.

• 한국통신학회논문지
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• 제32권4A호
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• pp.379-386
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• 2007

본 논문에서는 효율적인 다중 고착 고장 진단 알고리듬을 제안하겠다. 제안하는 고장 진단 알고리듬은 완전일치공통부분을 고장 진단의 중요한 기준으로 사용함으로써 단일 고착 고장 시뮬레이터 환경에서도 다중 고착 고장을 진단할 수 있다. 또한 각 고장간의 식별성을 높여 다중 고착 고장을 진단함에도 불구하고, 고장 후보의 수를 획기적으로 줄일 수 있었다. 이를 위하여 출력단의 수에 따른 가중치 개념과 가산, 감산 연산을 사용하였다. 이 알고리듬은 ISCAS85회로와 완전 주사 스캔이 삽입된 ISCAS89회로에서 실험하여 성능을 입증하였다.

• 한국조명전기설비학회:학술대회논문집
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• 한국조명전기설비학회 1996년도 추계학술발표회논문집
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• pp.122-124
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• 1996

This paper describes a diagnosis of distribution cable splices by analysis of ultrasonic signals which are generated by partial discharge. A method of ultrasonic signal was used to detect internal defects in distribution cable splices. It is possible that analysis of ultrasonic signal predicts failure by partial discharge generated in distribution cable splices.

• International Journal of Control, Automation, and Systems
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• 제1권4호
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• pp.511-514
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• 2003

The Infrared Camera usually detects only Infrared waves emitted from the light in order to illustrate the temperature distribution. An Infrared diagnosis system can be applied to various fields. But the defect discrimination can be automatic or mechanized in the special shoes total inspection system. This study introduces a method for special shoes nondestructive total inspection. Performance of the proposed method is shown through thermo-Image.

• Restorative Dentistry and Endodontics
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• 제24권2호
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• pp.286-298
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• 1999

The endodontic-periodontic combined lesions have been difficult to get correct diagnosis and predictable treatment. This study was to make the experimental endodontic-periodontic combined defects in dogs for the study of the periodontal regeneration and to evaluate the efficacy of the enamel matrix protein and e-PTFE membrane in the experimental endodontic-periodontic combined defects. 5 mongrel dogs were used. The pulp chambers were opened and the plaque was inserted into the chambers to induce the periapical lesions on the mandibular second, third and fourth premolars of the dogs. 1 month later, the root canal treatments were done with gutta perch a and ZOE sealer. On the day of surgery, the periapical defects were standardized by trephine bur. The buccal dehiscence defects were made by the dental bur and bone chisels. The apicoectomy with retrofilling was done. The prepared roots were randomly selected for test and control groups. In the experimental groups, the enamel matrix derivative and e-PTFE membrane were used. Nothing was placed on the control group. Fluroscent labelling was used to evaluate the bone formation. After 4 and 12 weeks, the dogs were sacrificed and undecalcified sections were prepared and stained with toluidine blue. Those histologic sections were examined by fluorescent microscopy and light microscopy. The results were as follows. 1. In the control group, new bone was formed in the periapical defects and scarcely in the buccal dehiscence defects. New cementum was not detected at 4 and 12 weeks. 2. In the experimental groups, new bone, new cementum and periodontal ligament were found in the periapical and buccal dehiscence defects. The relative amount and the quality of the new bone, new cementum and periodontal ligament tissue that had formed on the experimental groups were superior to those of the control group. 3. The current observation implicated that e-PTFE membrane and enamel matrix protein could be the effective tools for the guided tissue regeneration of the endo-perio combined defects.

• 대한핵의학회지
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• 제23권2호
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• pp.201-207
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• 1989

Patients with acute pyleonephritis may present with a spectrum of clinical symptoms and signs. There are few noninvasive diagnostic studies, however, to confirm or exclude this diagnosis. To evaluate the clinical utility of $^{99m}Tc-DMSA$ renal scan in diagnosis of acute pyelonephritis, we performed $^{99m}Tc-DMSA$ renal scan in 37 patients suspected with urinary tract infection. Simultaneously, kidney ultrasonography was done in 21 patients diagnosed with acute pyelonephritis, clinically. And we performed the followup scan after treatment in two to six weeks. The results were as follows: 1) $^{99m}Tc-DMSA$ renal scan disclosed single or multiple cortical defects and decreased radiouptake ratio of affected kidney in 23 patients among 25 patients diagnosed with acute pyleonephritis. 2) In the 21 patients with acute pyelonephritis, kidney ultrasonography showed abnormal finding in the 7 patients. And $^{99m}Tc-DMSA$ renal scan disclosed abnormal cortical defects in this 7 patients also. 3) Between the patients with acute pyelonephritis and those with lower urinary tract infection, asymptomatic bacteriuria or pyuria. right-to-left radiouptake ratios (R/L ratio) were significantly different (p < 0.001). 4) In two to six weeks after antibiotic therapy, we performed followup $^{99m}Tc-DMSA$ renal scan for 5 patients among 25 acute pyelonephritis patients. And we have found the improvement of cortical defects and the right-to-left radiouptake ratio. In conclusion, we thought that $^{99m}Tc-DMSA$ renal scan should be useful in diagnosis of acute pyelonephritis and follow-up examination.

• 한국소음진동공학회논문집
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• 제14권12호
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• pp.1233-1240
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• 2004

Condition monitoring and fault diagnosis of machines are gaining importance in the industry because of the need to increase reliability and to decrease possible loss of production due to machine breakdown. By comparing the nitration signals of a machine running in normal and faulty conditions, detection of faults like mass unbalance, shaft misalignment and bearing defects is possible. This paper presents a novel approach for applying the fault diagnosis of rotating machinery. To detect multiple faults in rotating machinery, a feature selection method and support vector machine (SVM) based multi-class classifier are constructed and used in the faults diagnosis. The results in experiments prove that fault types can be diagnosed by the above method.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2003년도 춘계학술대회 논문집
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• pp.963-968
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• 2003

The continuous process systems usually consists of various components: driven rollers. idle rolls, load-cell and so on. Even a simple fault in a single component in the line may cause a catastrophic damage on the final products. Therefore it is absolutely necessary to diagnosis the components of the continuous systems. In this paper, an adaptive eccentricity compensation method is presented. And a new diagnosis method for transverse roll shape defects on rolling process is developed. The new method was induced from analyzing the rolling mechanism by using rolling force model, tension model, Hitchcock's equation, and measured delivery thickness of materials etc. Computer simulation results also show that the proposed diagnosis methods is very effective in the diagnosis of 3-D roll shape

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2003년도 추계학술대회논문집
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• pp.537-543
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• 2003

Condition monitoring and fault diagnosis of machines are gaining importance in the industry because of the need to increase reliability and to decrease possible loss of production due to machine breakdown. By comparing the vibration signals of a machine running in normal and faulty conditions, detection of faults like mass unbalance, shaft misalignment and bearing defects is possible. This paper presents a novel approach for applying the fault diagnosis of rotating machinery. To detect multiple faults in rotating machinery, a feature selection method and support vector machine (SVM) based multi-class classifier are constructed and used in the faults diagnosis. The results in experiments prove that fault types can be diagnosed by the above method.