• 전자공학회논문지T
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• 제36T권1호
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• pp.71-78
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• 1999

본 논문은 외부에서 공급받는 에너지 대신에 현가 시스템 자체에서 전기에너지를 발생시켜 전기우동(electro-rheological, 이후ER)유체를 제어하는 새로운 형태의 ER 진동 제어장치를 제안한다. 이를 위하여 에너지 재생 메커니즘을 개발하고 진동에너지를 재생 전기에너지로 환원하여 축적시켰으며, 상기에서 얻어진 저전압을 ER제어 할 수 있는 고전압(1KV-6KV)으로 승압시켜 ER 현가 장치에 적용하였다. 한편 제안된 장치의 성능 향상을 목적으로 재생 에너지의 충전장치, 고전압 발생장치, 전기제어장치, 신호감지장치를 설계하여 ER 현가 장치의 동특성 시험을 행하고 충격제어 능력을 평가하여 실용화 할 수 있는 기반을 구축하였다.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2007년도 추계학술대회논문집
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• pp.77-81
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• 2007

Pentacene was dissolved in N-methyspyrrolidone (NMP) and mixed with poly(3,4-ethylenedioxythiophene), poly(styrenesulfonate) (PEDOT:PSS). The solution color changed from deep purple to intense yellow. As the dissolution time increased, visible absorption decreased and ultraviolet (UV) absorption increased. PEDOT:PSS or Pentacene-PEDOT:PSS was spin-coated to control the layer thickness. Three-layered Schottky diodes consisting of Al, PEDOT:PSS or PEDOT:PSS-pentacene, and Au with thickness of 300nm, respectively, were fabricated. The current densities of $4.8{\mu}A/cm^2$ at 2.5MV/m and $660{\mu}A/cm^2$ at 1.9MV/m were obtained for the Au/PEDOT:PSS/Al and Au/Pentacene-PEDOT:PSS/Al Schottky diodes, respectively. The current density of the Schottky diode was enhanced by about two orders of magnitude by doping pentacene to PEDOT:PSS.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2007년도 추계학술대회논문집
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• pp.714-717
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• 2007

In this study, a novel actuator was developed by employing the newly-synthesized ionic networking membrane (INM) of poly (styrene-alt-maleic anhydride) (PSMAn)-incorporated poly (vinylidene fluoride) (PVDF). Based on the same original membrane, various samples of INM actuator were prepared through different reduction times with the electroless-plating technique. The as-prepared INM actuators were tested in terms of surface resistance, platinum morphology, resonance frequency, tip displacement, current and blocked force, and their performance was compared to that of the widely-used traditional Nafion actuator. Scanning electron microscope (SEM) and transmission electron microscopy (TEM) revealed that much smaller and more uniform platinum particles were formed on the surfaces of the INM actuators as well as within their polymer matrix. Although excellent harmonic response was observed for the newly-developed INM actuators, this was found to be sensitive to the applied reduction times during the fabrication. The mechanical displacement of the INM actuator fabricated after optimum reduction times was much larger than that of its Nafion counterpart of comparable thickness under the stimulus of constant and alternating current voltage.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2007년도 춘계학술대회논문집
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• pp.448-452
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• 2007

Many industrial operations require continuous or nearly-continuous operation of machines, which if interrupted can result in significant financial loss. The condition monitoring of these machines has received considerable attention recent years. Rapid developments in semiconductor, computing, and communication with a remote site have led to a new generation of sensor called "smart" sensors which are capable of wireless communication with a remote site. The purpose of this research is the development of smart sensor using which can on-line perform condition monitoring. This system is addressed to detect conditions that may lead to equipment failure when it is running. Moreover it will reduce condition monitoring expense using low cost MEMS accelerometer. This sensor can receive data in real-time or periodic time from MEMS accelerometer. Furthermore, this system is capable for signal preprocessing task (High Pass Filter, Low Pass Filter and Gain Amplifier) and analog to digital converter (A/D) which is controlled by CPU. A/D converter that converts 10bit digital data is used. This sensor communicates with a remote site PC using TCP/IP protocols. Wireless LAN contain IEEE 802.11i-PSK or WPA (PSK, TKIP) encryption. Developed sensor executes performance tests for data acquisition accuracy estimations.

• 한국소음진동공학회논문집
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• 제21권11호
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• pp.1020-1028
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• 2011

As rotating machines play an important role in industrial applications such as aeronautical, naval and automotive industries, many researchers have developed various condition monitoring system and fault diagnosis system by applying artificial neural network. Since using obtained signals without preprocessing as inputs of neural network can decrease performance of fault classification, it is very important to extract significant features of captured signals and to apply suitable features into diagnosis system according to the kinds of obtained signals. Therefore, this paper proposes a neural-network-based fault diagnosis system using AR coefficients as feature vectors by LPC(linear predictive coding) and EIV(errors-in variables) analysis. We extracted feature vectors from sound, vibration and current faulty signals and evaluated the suitability of feature vectors depending on the classification results and training error rates by changing AR order and adding noise. From experimental results, we conclude that classification results using feature vectors by EIV analysis indicate more than 90 % stably for less than 10 orders and noise effect comparing to LPC.

• 한국소음진동공학회논문집
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• 제27권2호
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• pp.189-194
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• 2017

An compressor that is combined with the rotor and pneumatic technology has been researching for the performance of pressure. However, the control of operations, an accurate diagnosis and the maintenance of compressor system are limited though the simple structure of compressor and compression are advantaged to reduce the energy. In this paper, the characteristic of the compressor operating under the normal or abnormal condition is realized. and the efficient diagnosis method is proposed through feature based analysis. Also, by using the GA (genetic algorithm) and SVM (support vector machine) of machine learning, the performance of feature analysis is conducted. Different misalignment mode of learning data for compressor is evaluated using the fault simulator. Therefore, feature based analysis is conducted considering misalignment mode of the compressor and the possibility of a diagnosis of misalignment is evaluated.

• 한국정보과학회논문지:컴퓨팅의 실제 및 레터
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• 제16권4호
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• pp.477-481
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• 2010

본 연구에서는 무선 센서 네트워크를 기반으로 침대 주변에서 사람의 행동유형을 분류하고자 한다. 침대 주변에서 사람의 다섯가지 행동유형과 세가지 상태들을 정의하고, 이들을 상태기계로 표현하였다. 움직임 감지 및 진동센서들을 통해 행동유형 관련 데이터들을 수집하고 이로 부터 특정벡터를 추출하였다. 행동유형별 특징벡터와 상태기계를 기초로 행동유형 모델을 정립하였고, 정립된 모델의 유효성 검증을 위해 실험을 실시한 후 행동유형 모델을 보정하였다. 이러한 실험결과들은 침대 주변에서 사람들이 행하는 행동유형들이 잘 분류될 수 있음을 보여준다.

• 전력전자학회:학술대회논문집
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• 전력전자학회 2012년도 추계학술대회 논문집
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• pp.229-230
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• 2012

본 논문에서는 왜곡된 역기전력을 갖는 매입형 영구자석 동기전동기의 토크리플 저감 방법을 제안한다. 역기전력에 왜곡성분이 있는 경우 정현파 전류로 모터 제어 시 역기전력의 왜곡으로 인한 토크리플은 전동기의 진동 증대 및 효율 저하의 요인이 된다. 이러한 토크리플에 의한 전동기의 진동은 특히 저속에서 문제가 된다. 저속운전 시 전동기의 토크리플을 저감하기 위해서는 역기전력의 왜곡에 의한 토크리플을 줄일 수 있는 토크리플 보상 전류제어가 필요하다. 이 경우 토크리플 보상전류를 구하기 위해서는 역기전력의 왜곡성분에 대한 정보가 필요하다. 본 논문에서는 역기전력의 왜곡성분을 off_line 방식이 아닌 전류기반 MRAS 관측기를 사용하여 실시간으로 추정하여 토크리플 저감전류를 보상함으로써 토크리플을 저감한다. 제안된 토크리플 저감 알고리듬은 시뮬레이션을 통해 검증한다.

• 한국소음진동공학회논문집
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• 제18권8호
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• pp.849-855
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• 2008

다양한 조임 조건에서 기계적 조인트의 컨택 특성 파라미터를 유도하기 위하여 컨택 공진을 기반으로 하는 실험적 방법을 개발하였다. 기계적 조인트의 전단 컨택 강성과 감쇠의 파라미터는 접촉 표면간의 표면 처리, 윤활 유무, 그리고 조임력과 전단력의 의한 영향과 같은 여러 가지 물리적 조인터 파라미터와 연계하여 고찰하였다. 제안된 실험적 방법을 사용하여 전단 컨택 강성 값은 조임력과 전단력이 커짐에 따라 증가하는 것을 발견하였다. 또한 컨택 감쇠 비 값은 대부분 조임력과 상관없이 일정 값을 나타내지만 전단력이 커짐에 따라 감소하였다. 추가로, 전단 강성 값과 컨택 감쇠 비는 매끄러운 표면에서보다 거친 표면에서 더 크게 나타남을 알 수 있었다.

• 한국소음진동공학회논문집
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• 제18권8호
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• pp.872-878
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• 2008

Many industrial operations require continuous or nearly-continuous operation of machines, interruption of which can result in significant cost loss. The condition monitoring of these machines has received considerable attentions in recent years. Rapid developments in semiconductor, computing, and communication with a remote site have led to a new generation of sensor called "smart" sensors which are capable of wireless communication with a remote site. The purpose of this research is to develop a new type of smart sensor for on-line condition monitoring. This system is addressed to detect conditions that may lead to equipment failure when it is running. Moreover it will reduce condition monitoring expense using low cost MEMS accelerometer. This system is capable for signal preprocessing task and analog to digital converter which is controlled by CPU. This sensor communicates with a remote site PC using TCP/IP protocols. The developed sensor executes performance tests for data acquisition accuracy estimations.