• Structural Monitoring and Maintenance
• /
• 제5권3호
• /
• pp.379-390
• /
• 2018

In this paper, a novel and effective damage diagnosis algorithm is proposed to detect and estimate damage using two stages least squares support vector machine (LS-SVM) and limited number of attached sensors on structures. In the first stage, LS-SVM1 is used to predict the unmeasured mode shapes data based on limited measured modal data and in the second stage, LS-SVM2 is used to predicting the damage location and severity using the complete modal data from the first-stage LS-SVM1. The presented methods are applied to a three story irregular frame and cantilever plate. To investigate the noise effects and modeling errors, two uncertainty levels have been considered. Moreover, the performance of the proposed methods has been verified through using experimental modal data of a mass-stiffness system. The obtained damage identification results show the suitable performance of the proposed damage identification method for structures in spite of different uncertainty levels.

• 한국기계가공학회지
• /
• 제17권2호
• /
• pp.103-108
• /
• 2018

In interrupted cutting, the workpiece has a groove that impacts both the cutting tool and the workpiece. Therefore, cutting tool damage occurs rapidly. In this study, I performed interrupted cutting of carbon steel for machine structures (SM20C) using an uncoated carbide tool (SNMG120404, P20), and observed tool damage, cutting chip shape, and the workpiece surface. Results: Under the specific cutting conditions of feed rate = 0.066 mm/rev, cutting speed = 120 m/min, and depth of cut = 0.1 mm; and feed rate = 0.105 mm/rev, cutting speed = 120 m/min, and depth of cut = 0.2 mm, the observed tool damage was small. Similar chip shape was observed (Expt. No. 1, 3, 7). Workpiece damage was observed (Expt. No. 3, 5, 7, 9).

• 한국의류산업학회지
• /
• 제8권1호
• /
• pp.134-138
• /
• 2006

The washing efficiency of two types of washing machine- drum(drum washing) and drum using steam jet system(steam drum washing) was studied. The purpose of this paper is to clarify the performance of new steam drum washing. The relationship between washing temperature and washing efficiency(reflectance(%)) by soil removal, and that between washing temperature and electric energy consumption, Fabric damage evaluated by Danish wear method, Fabric shrinkage(%) during laundering were investigated, and compared with those in drum washing machine. Washing efficiency of steam drum washing according to washing temperature is better than that of drum washing. Electric energy consumption and fabric damage in steam drum washing are lower than those of drum washing. Fabric damage increased as washing temperature increased. Shrinkage of fabrics in steam drum washing and drum washing are about same. Therefore, we assumed that in the case of steam drum washing using steam jet system, washing efficiency remarkably increased, and fabric damage decreased, even with a lot of saving in given electric energy and water used.

• Smart Structures and Systems
• /
• 제12권3_4호
• /
• pp.327-344
• /
• 2013

Beam string structure (BSS) is introduced as a new type of hybrid prestressed string structures. The composition and mechanics features of BSS are discussed. The main principles of wavelet packet transform (WPT), principal component analysis (PCA) and support vector machine (SVM) have been reviewed. WPT is applied to the structural response signals, and feature vectors are obtained by feature extraction and PCA. The feature vectors are used for training and classification as the inputs of the support vector machine. The method is used to a single one-way arched beam string structure for damage detection. The cable prestress loss and web members damage experiment for a beam string structure is carried through. Different prestressing forces are applied on the cable to simulate cable prestress loss, the prestressing forces are calculated by the frequencies which are solved by Fourier transform or wavelet transform under impulse excitation. Test results verify this method is accurate and convenient. The damage cases of web members on the beam are tested to validate the efficiency of the method presented in this study. Wavelet packet decomposition is applied to the structural response signals under ambient vibration, feature vectors are obtained by feature extraction method. The feature vectors are used for training and classification as the inputs of the support vector machine. The structural damage position and degree can be identified and classified, and the test result is highly accurate especially combined with principle component analysis.

• 한국압력기기공학회 논문집
• /
• 제5권2호
• /
• pp.20-26
• /
• 2009

The dominant incidents category for onshore and offshore natural gas transmission pipelines in the world is associated with outside forces. Incidents in the outside forces category embrace acts of nature, which typically cause widespread structural damage, as well as act of man, whose effects tend to cause dents and/or gouges localized at point of contact that are referred to as mechanical damage. Therefore, these damage types must be better addressed to avoid unnecessary and costly repairs and the possibility of catastrophic events. First of all, the characterizing features of mechanical damage in gas pipelines were evaluated by using of excavator or boring machine. There is no reliable method for evaluating the safe operating pressure of pipeline affected by mechanical damage. It is especially important to evaluate the remaining strength of damaged pipelines due to outside force. Therefore, the full scale burst tests were conducted to evaluate the remaining strength of pipe with mechanical damage that combines a dent and a gouge. This paper is supposed to provide information that will assist in developing a criterion to assess serviceability in pipelines with mechanical damage.

• 한국정밀공학회지
• /
• 제19권11호
• /
• pp.167-173
• /
• 2002

The look up table method conventionally applied to control the inner temperature and humidity of a laver drying machine has repeatedly occurred not only laver's damage but also inferior goods since the reaching time at the optimum state takes a long time. In this paper, a fuzzy control theory instead of the look up table was proposed to reduce the reaching time at the optimum state. The proposed method used six input variables and four output variables for the fuzzy control, and a triangle rule for a fuzzifier, The Mandani's min-max method was applied to a fuzzy inference. Also, the mean method of maximum was applied to a defuzzifier. The method applied to the fuzzy controller contributed to reduce the reaching time at the optimum state, and to minimize not only laver's damage but also inferior goods.

• 한국염색가공학회지
• /
• 제30권4호
• /
• pp.304-312
• /
• 2018

This study reduced the number of hair bleachings and used a hair steamer machine to reduce hair damage during hair coloring. In addition, such treatment was given, focusing on the use of hair mist. When the $L^{\ast}a^{\ast}b^{\ast}$ values for bleached hair were measured using a spectrum colorimeter, the mist steamer-based hair revealed higher brightness. Hair damage was low when moisture contents were high after hair drying with the use of the mist steamer machine. The mist treatment-less hair showed more blurred cuticle boundaries than mist-treated hair. In other words, this confirms that cuticles are protected by the use of a mist steamer machine during hair bleaching. It appears that this could minimize hair loss and meet clients' aesthetic needs and satisfaction during color bleaching/coloring.

• 한국정보통신학회:학술대회논문집
• /
• 한국정보통신학회 2014년도 추계학술대회
• /
• pp.316-319
• /
• 2014

전 세계적으로 커피시장이 커짐에 따라서 커피에 대한 사람들의 관심도 또한 커지고 있는 추세이다. 이러한 추세 속에서 사람들의 입맛이 더욱 고급스러워지고 커피의 맛을 결정하는 커피 원두가 중요시 되고 있다. 하지만 현재는 불량원두를 사람이 직접 보고 검출을 하고 있는데, 이는 커피 원두에 대한 전문적 지식이 있는 사람만이 할 수가 있는 작업이다. 따라서 본 논문에서는 기계학습을 이용한 불량원두 검출 시스템을 제안한다. 이 시스템에서는 불량 원두의 종류 중 큰 비율을 차지하는 원두의 모양과 Insect Damage에 대한 불량 검출에 중점을 두었다. 기계학습의 방법으로 Convolutional Neural Network를 사용하였고, 원두의 모양을 검출할 신경망과 Insect Damage를 검출할 신경망 두 개로 구성되어 있다. Insect Damage에 대한 불량을 검출할 때에는 카메라의 노출시간을 길게 하여 원두의 어두운 구멍을 더 돋보이게 하여 데이터를 만들어 신경망을 구축하였다. 이 시스템의 개발로 인하여 사람이 직접 불량 원두를 검출하는 작업을 자동화 시스템으로 전환할 수 있는 시발점이 될 수 있을 것이고, 현재는 원두의 모양과 Insect Damage의 유무만을 중점으로 검출을 하고 있기 때문에, 추후에 다른 여러 가지의 불량에 대해 검출할 수 있는 연구가 필요하다.

• Journal of Ship and Ocean Technology
• /
• 제6권3호
• /
• pp.1-12
• /
• 2002

In this paper the results are reported of sixty-nine lateral collision tests, which were performed to investigate the collision resistance of plates. For the tests a collision testing machine of spring-roller conveyer type was designed and fabricated. Using this machine, various plates were tested with different masses and velocities and various headers of the striker. A simple analytical method has also been developed to predict the extent of damage of struck plates due to lateral collision. In the method, it is assumed that the kinetic energy of the striker can be dissipated by the formation of yield lines and membrane tensions in the impacted plate. The calculated predictions of extent of damage using the developed method have been substantiated with the test results, which shows reasonably acceptable correlations.

• 한국정보통신학회논문지
• /
• 제17권11호
• /
• pp.2588-2594
• /
• 2013

2013년도 들어 스마트폰을 이용한 스미싱(Smishing) 해킹 공격으로 인하여 피해가 급증하고 있다. 스미싱 해킹공격과 연계된 직접적인 금전적 피해와 개인정보 탈취가 야기되고 있다. 스마트폰에서 스미싱 해킹 공격과 연계되어 안전결제 시스템(ISP)과 인터넷 결제서비스로 이어지는 금전적인 피해가 발생하고 있다. 본 논문에서는 스미싱 해킹 공격과 침해사고를 실제 사례를 실험실에서 연구분석 한다. 스미싱 해킹 공격의 기술적인 원리와 실제적인 사례 분석을 하고, 스미싱을 이용한 안전결제 시스템의 피해를 예방하는 보안 방법을 강구한다. 본 연구를 통해 스마트폰을 통해 보다 안전하고 편리하게 온라인 결제를 할 수 있도록 하는 연구가 될 것이다.