• 한국윤활학회:학술대회논문집
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• 한국윤활학회 2002년도 proceedings of the second asia international conference on tribology
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• pp.455-456
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• 2002

Wear is one of the main factors causing breakdown and fault of machine, so ferrography technique analyzing wear particles can be an effective way for condition monitoring and fault diagnosis. On the base of the forward multilayer neural network, a nodes self-deleting neural network model is provided in this paper. This network can itself deletes the nodes to optimize its construction. On the basis of the nodes self-deleting neural network, an intelligent ferrography diagnosis expert system (IFDES) for wear particles recognition and wear diagnosis is described. This intelligent expert system can automatically slim lip knowledge by learning from samples and realize basically the entirely automatic processing from wear particles recognition to wear diagnosis.

• Tribology and Lubricants
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• 제15권3호
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• pp.265-271
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• 1999

Wherever there are rotating equipment and contact between surface, there is wear and the generation of wear particles. The particles contained in the lubricating oil carry detailed and important information about the condition monitoring of the machine. This information may be deduced from particle shape, composition, size distribution, and concentration. Therefore, This paper was undertaken to Ferrography system of wear debris generated from lubricated moving machine surface. The lubricating wear test was performed under different experimental conditions using the Falex wear test of Pin and V-Block type by Ti(C, N) coated. It was shown from the test results that wear particle concentration (WPC) and wear severity Index( $I_{S}$), size distribution in normal and abnormal wear have come out all the higher value by increases sliding friction time. Wear shape is observed on the Ferrogram it was discovered a thin leaf wear debris as well as ball and plate type wear particles. This kind of large wear shape have an important effect not only metals damage, but also seizure phenomenon.

• 대한기계학회논문집A
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• 제24권10호
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• pp.2420-2427
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• 2000

In contacting between surface, there is wear and the generation of wear particles. The particles contained in the lubricating oil carry detailed and important information about the condition monitoring of the machine. Therefore, This paper was undertaken for Ferrography system of wear debris generated from lubricated moving machine surface. The lubricating wear test was performed under different experimental conditions using the Falex wear test of Pin and V-Block type by Ti(C,N) coated. It was shown from the test results that wear particle concentration(WPC) ; wear severity Index(IS) and size\distribution have come out all the higher value by increases sliding friction time. By the Ferrogram a thin leaf wear debris as well as ball and plate type wear particles was observed.

• Tribology and Lubricants
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• 제6권2호
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• pp.68-75
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• 1990

The metal-dithiophosphates as lubricant additives for reducing friction and wear, increasing load-carrying capacity and a antioxidant are very important as new additives developed in these day. The synthetic results of Metal-DTPs were described. The wear test was conducted with 4-Ball machine and wear debris were analyzed by ferrography. The tribological performances of Metal-DTPs were compared with Zn-DTP.

• Tribology and Lubricants
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• 제5권1호
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• pp.57-63
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• 1989

The soluble Mo-DTP compounds as lubricant additives for reducing friction and wear, increasing loadcarrying capacity, and as antioxidants is very important as a new additive developed in these day. The method of the compounds are described and the composition is analyzed with $^{31}$P NMR spectrometer. The wear test is conducted with 4-ball machine and the debris are analyzed by ferrography. Also the tribological performance of Mo-DTP compounds are compared with Moly Van L and Zn-DTP.

• Tribology and Lubricants
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• 제1권1호
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• pp.38-45
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• 1985

Ferrography 방법은 유체중 마모입자를 Substrate glass 위에 Van der Waals 힘에 의하여 분산교착 시키므로써 윤활 Systems에서의 기계요소들의 동특성적 마모진행과정및 mechanism의 정성적및 정량적인 분석을 가능케 한다. 정성적 방법으로는 광학현미경으로부터 SEM, X-Ray Emissiom, EDAX등의 분석방법이 적용되고 있으나, 정량적으로는 마모입자의 크기별 분포함수에 따른 Variance, Kurtosis, Skewness와 같은 인자함수의 변이가 마모진행 과정과 진행될 마모형태기구의 예측인자로서 연구되고 있다. 수치적 Model로 마모진행기구를 예측할 경우 third moment의 Skewness 가 Size 및 number분포에 따라 예민하게 반응을 나타내는 결과를 보이고 있다. 이러한 정량분석을 위하여는 실험 Sample에 따라서, 즉 오염도에 따른 Sample희석이 따르는데, 이러한 Sample 희석이 정량적 분포에 미치는 영향에 관한 연구결과는 아직 없다. 따라서 본연구에는 용제희석이 정량적 마모입자 분포에 미치는 영향을 image analyser인 Quantimat 720을 이용하여 검토하였으며 전영역의 희석률에 적용될 수 있는 Standard Calibration function에 따른 수학적 model을 유도하였다.

• KSTLE International Journal
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• 제2권1호
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• pp.35-39
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• 2001

In this paper, statistical approach is undertaken to investigate the classification of wear debris which is the key function of objective assessment of wear debris morphology. Wear tests are run to produce various kinds of wear debris. The images of wear debris from wear tests are captured with image acquisition equipment. By thresholding, two-dimensional binary images of wear debris are made and, then, morphological parameters are used to quantify the images of debris. Parametric and nonparametric discriminant method are employed to classify wear debris into predefined wear conditions. It is demonstrated that classification accuracy of parametric and nonparametric discriminant method is similar. The selected use of morphological parameters by stepwise discriminant analysis can generally improve the classification accuracy of parametric and nonparametric discriminant method.

• Journal of Advanced Marine Engineering and Technology
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• 제33권7호
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• pp.1044-1051
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• 2009

During contact between surfaces, there is wear and the generation of wear. The particles contained in the lubricating oil carry detailed and important monitoring information about the condition of the machine. Therefore, this paper was undertaken for the Ferrography system of wear debris generated from a lubricated moving machine surface. The lubricating wear test was performed under different experimental conditions using the Falex wear test of the Pin and V-Block types by Ti(C,N) coated. It was shown from the test results that wear particle concentration(WPC), wear severity index(Is) and size distribution have come out all higher with increases in sliding friction time. With the Ferrogram thin leaf wear debris as well as ball and plate type wear particles were observed.