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주파수 및 진폭의 분산 변화 패턴을 고려한 시스템 상태신호 특성 정의
백운상(Woon Sang Baek),백수정(Su Jeong Baek),김덕영(Duck Young Kim) (사)한국CDE학회 2016 한국 CAD/CAM 학회 학술발표회 논문집 Vol.2016 No.동계
Many condition monitoring methods have been applied to various industrial systems to identify the system’s health condition. Selection of a proper signal processing method by considering the characteristics of the monitored signals is a prerequisite for condition monitoring of a system. However, it tends to adopt a signal processing method based on the user’s subjective knowledge in many cases, rather than following a predefined rule. Therefore, we propose three signal characteristics as a basis for a systematic selection guideline: aVar(Abrupt Variance), DF(Discernable Frequency), and DI(Discernable Index) of signal. The set of signals from an automotive gasoline engine and EEG(Electroencephalogram) data are characterized by the proposed definitions and the main discernible features of each signal are successfully captured.
임베디드 피드백 컨트롤 시스템에 대한 시뮬레이션 기반의 FMEA 와 통계 적 Fault Tree 분석
백운상(Woon Sang Baek),백수정(Su Jeong Baek),김덕영(Duck Young Kim) (사)한국CDE학회 2015 한국 CAD/CAM 학회 학술발표회 논문집 Vol.2015 No.동계
The embedded system of an electromechanical device consists usually of electrical hardware and control software in order to control dedicated functions. In general, it is not easy to analyze abnormal behaviors of embedded systems, since it is too difficult to identify which component of hardware and which module of control software is creating the unforeseen behaviors. Failures in safety-critical embedded systems such as automatic braking system in cars and medical electrical equipment could lead to catastrophic consequences. Nevertheless, little attention has been given to systematic failure investigation for embedded systems. This paper therefore employs a simulation-based FMEA method to classify the root causes of failures and build a statistical fault tree. The proposed method is validated with the Ball-in-tube experiment.