• International Journal of Fuzzy Logic and Intelligent Systems
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• 제4권1호
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• pp.7-11
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• 2004

This paper proposes a new immunotronic approach for the fault detection in hardware. The suggested method is, inspired by biology and its implementation is based on genetic algorithm. Tolerance conditions in the immunotronic system for fault detection correspond to the antibodies in the biological immune system. A novel algorithm of generating tolerance conditions is suggested based on the principle of the antibody diversity and GA optimization is employed to select mature tolerance conditions in immunotronic fault detection system. The suggested method is applied to the fault detection for MCNC benchmark FSMs (finite state machines) and its effectiveness is demonstrated by the computer simulation.

• Transactions on Electrical and Electronic Materials
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• 제6권6호
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• pp.262-271
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• 2005

In order to achieve timely and accurate fault detection of plasma etching process, neural network based time series modeling has been applied to reactive ion etching (RIE) using two different in-situ plasma-monitoring sensors called optical emission spectroscopy (OES) and residual gas analyzer (RGA). Four different subsystems of RIE (such as RF power, chamber pressure, and two gas flows) were considered as potential sources of fault, and multiple degrees of faults were tested. OES and RGA data were simultaneously collected while the etching of benzocyclobutene (BCB) in a $SF_6/O_2$ plasma was taking place. To simulate established TSNNs as incipient fault detectors, each TSNN was trained to learn the parameters at t, t+T, ... , and t+4T. This prediction scheme could effectively compensate run-time-delay (RTD) caused by data preprocessing and computation. Satisfying results are presented in this paper, and it turned out that OES is more sensitive to RF power and RGA is to chamber pressure and gas flows. Therefore, the combination of these two sensors is recommended for better fault detection, and they show a potential to the applications of not only incipient fault detection but also incipient real-time diagnosis.

• 한국전기전자재료학회:학술대회논문집
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• 한국전기전자재료학회 2009년도 추계학술대회 논문집
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• pp.44-44
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• 2009

Fault detection is necessary for yield enhancement and cost reduction in semiconductor manufacturing. Sensory data acquired from the semiconductor processing tool is too large to analyze for the purpose of fault detection and classification(FDC). We studied the techniques of fault detection using statistical method. Multiple regression analysis smoothly detected faults and can be easy made a model. For real-time and fast computing time, the huge data was analyzed by each step. We also considered interaction and critical factors in tool parameters and process.

• Journal of Electrical Engineering and Technology
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• 제11권2호
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• pp.416-424
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• 2016

In this study, automatic detection of stator winding inter-turn short circuit fault (SWISCFs) in surface-mounted permanent magnet synchronous motors (SPMSMs) and automatic classification of fault severity via a pattern recognition system (PRS) are presented. In the case of a stator short circuit fault, performance losses become an important issue for SPMSMs. To detect stator winding short circuit faults automatically and to estimate the severity of the fault, an artificial neural network (ANN)-based PRS was used. It was found that the amplitude of the third harmonic of the current was the most distinctive characteristic for detecting the short circuit fault ratio of the SPMSM. To validate the proposed method, both simulation results and experimental results are presented.

• 한국태양에너지학회 논문집
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• 제33권4호
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• pp.89-93
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• 2013

In recent years, many investigations about photovoltaic power systems have been significantly carried out in the fields of renewable power energy. Such research area generally includes developments of highly efficient solar cells, advanced power conversion systems, and smart monitoring systems. A generic objective of fault detection and diagnosis techniques is to timely recognize unexpected faulty of dynamic systems so that economic demage occurred by such faulty is decreased by means of engineering techniques. This paper presents a novel fault detection approach for photovoltaic power arrays which are electrically connected in series and parallels. In the proposed fault detection scheme, we first measure all of photovoltaic modules located in each array by using electronic sense systems and then compare each measurement in turn to detect location of fault module through statistic computation algorithm. We accomplish real-time experiments to demonstrate our proposed fault detection methodology by using a test-bed system including two 20 watt photovoltaic modules.

• 한국전자통신학회논문지
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• 제5권4호
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• pp.443-449
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• 2010

전류 테스팅은 기존의 전압 테스트 방식에 비해서 높은 고장 검출과 진단 능력을 가진 효과적인 테스트 방식이다. 그러나 상대적으로 느린 전류 테스팅을 위해서 항상 같은 값을 가지는 노드를 찾아내어 제거하는 효율적인 검출 기법이 필요하다. 본 논문에서는 전류 테스팅을 위한 다양한 고장모델에 적용 가능한 객체기반의 고장 검출 기법을 제안한다. ISCAS 벤치마크 회로의 실험결과을 통해서 제안된 방식이 고려되는 고장의 수를 효과적으로 감소시킬 수 있고 다양한 전류 테스팅 고장모델에 적용 가능함을 확인하였다.

• 한국신뢰성학회지:신뢰성응용연구
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• 제14권1호
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• pp.37-43
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• 2014

This paper deals with a design of observer based fault detection filter for a boiler-turbine control system. The goal is to present a method for rapid sensor fault detection in order to enhance the reliability of boiler-turbine operation in the thermal power plant. Our fault detection filter can be designed via solutions of linear matrix inequalities. In order to demonstrate the efficacy of our design method, numerical simulations are provided.

• 전기전자학회논문지
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• 제24권1호
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• pp.132-139
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• 2020

공기청정기에 사용되는 이오나이저 모듈은 권선형 transformer를 사용하여 방전전극인 HV+/HV-에 3.5KV/-4KV의 고전압을 공급하여 carbon fiber brush의 전계 방사에 의해 양이온과 음이온을 발생시킨다. 기존의 MCU를 이용한 이오나이저 모듈 회로는 PCB 사이즈가 크고 가격이 비싼 단점이 있고, 기존의 ring oscillator를 이용한 게이트 구동 칩은 oscillation 주기가 PVT(Process-Voltage-Temperature) 변동에 민감하고 HV+와 GND, HV-와 GND의 단락에 의한 fault detection 기능이 없으므로 화재나 감전의 위험이 있다. 그래서 본 논문에서는 7bit binary UP counter를 이용하여 PVT 변동이 있더라도 oscillation 주기를 조절하여 HV+ 전압이 목표 전압에 도달하게 한다. 그리고 HV+와 GND 사이의 단락을 검출하기 위한 HV+ short fault detection 회로, HV-와 GND 사이의 단락을 검출하기 위한 HV- short fault detection 회로와 HV+가 과전압 이상으로 올라가는 것을 검출하기 위한 OVP(Over-Voltage Protection) 회로를 새롭게 제안하였다.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2003년도 ICCAS
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• pp.974-977
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• 2003

The GPS/INS integration system navigation can provide improved navigation performance and has been widely used as a main navigation system for military and commercial vehicles. When two navigation systems are tightly coupled and the structure is complicated, a fault in either the GPS or the INS can lead to a disastrous failure of the whole integration system. This paper proposes a real-time fault detection method for an AGPS/INS integration system. The proposed fault detection method comprises a BIT and a fault detection algorithm based on chi-square test. It is implemented by real-time software modules to apply the AGPS/INS integration system and van test is carried out to evaluate its performance.

• 제어로봇시스템학회논문지
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• 제15권10호
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• pp.1009-1013
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• 2009

In this paper, a robust fault detection method for varying temperature based on fuzzy model is proposed. To develop a robust force estimation model, it needs temperature information because the output of force sensor is affected by a temperature variation. The nonlinear dynamic system, such as the parking force of the EPB (Electronic Parking Brake) system is necessary to have a higher order equation model. But, because of the calculation time, the higher order equation model is hard to be used in real application. In case of the lower order equation model, the result is not as accurate as acceptable. To solve this problem, the robust fuzzy model-based fault detection is developed. A proposed fault detection method for varying temperature is verified by HILS (hardware in the loop simulation).