• Title/Summary/Keyword: 센서고장

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Failure Detection Filter for the Sensor and Actuator Failure in the Auto-Pilot System (Auto-Pilot 시스템의 센서 및 actuator 고장진단을 위한 Failure Detection Filter)

  • Sang-Hyun Suh
    • Journal of the Society of Naval Architects of Korea
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    • v.30 no.4
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    • pp.8-16
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    • 1993
  • Auto-Pilot System uses heading angle information via the position sensor and the rudder device to control the ship direction. Most of the control logics are composed of the state estimation and control algorithms assuming that the measurement device and the actuator have no fault except the measurement noise. But such asumptions could bring the danger in real situation. For example, if the heading angle measuring device is out of order the control action based on those false position information could bring serious safety problem. In this study, the control system including improved method for processing the position information is applied to the Auto-Pilot System. To show the difference between general state estimator and F.D.F., BJDFs for the sensor and the actuator failure detection are designed and the performance are tested. And it is shown that bias error in sensor could be detected by state-augmented estimator. So the residual confined in the 2-dim in the presence of the sensor failure could be unidirectional in output space and bias sensor error is much easier to be detected.

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Multi-block PCA for Sensor Fault Detection and Diagnosis of City Gas Network (도시가스 배관망의 고장 탐지 및 진단을 위한 다중블록 PCA 적용 연구)

  • Yeon-ju Baek;Tae-Ryong Lee;Jong-Seun Kim;Hong-Cheol Ko
    • Journal of the Korean Institute of Gas
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    • v.28 no.2
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    • pp.38-46
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    • 2024
  • The city gas pipeline network is characterized by being widely distributed and hierarchically connected in a complex manner over a wide area. In order to monitor the status of the widely distributed network pressures with high precision, Multi-block PCA(MBPCA) is recommended. However, while MBPCA has excellent performance in identifying faulty sensors as the number of sensors increases, the fault detection performance deteriorates, and also there is a problem that the model needs to be updated entirely even if minor changes occur. In this study, we developed fault detectability index and fault identificability index to determine the effectiveness of MBPCA application block by block. Based on these indices, we distinguished MBPCA and PCA blocks and developed a fault detection and diagnostic system for the city gas pipeline network of Haean Energy Co., Ltd., and were able to solve the problems that arise when there are many sensors.

Fault Tolerant Clock Management Scheme in Sensor Networks (센서 네트워크에서 고장 허용 시각 관리 기법)

  • Hwang So-Young;Baek Yun-Ju
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.31 no.9A
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    • pp.868-877
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    • 2006
  • Sensor network applications need synchronized time to the highest degree such as object tracking, consistent state updates, duplicate detection, and temporal order delivery. In addition, reliability issues and fault tolerance in sophisticated sensor networks have become a critical area of research today. In this paper, we proposed a fault tolerant clock management scheme in sensor networks considering two cases of fault model such as network faults and clock faults. The proposed scheme restricts the propagation of synchronization error when there are clock faults of nodes such as rapid fluctuation, severe changes in drift rate, and so on. In addition, it handles topology changes. Simulation results show that the proposed method has about $1.5{\sim}2.0$ times better performance than TPSN in the presence of faults.

고장에 대한 내성을 갖는 로봇 매니퓰레이터 시스템의 개발에 관한 최근연구동향

  • 신규식;이병주;김희국
    • ICROS
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    • v.2 no.3
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    • pp.25-41
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    • 1996
  • 본 고에서는 고장에 대한 내성을 갖는 로봇 시스템에 관련된 전반적인 연구분야에 대한 소개를 하였으며 구조적인 측면에 중점을 두어 기술되었으나, 고장에 내성을 갖는 위치/속도 센서, 힘/토크 센서 그리고 로봇 제어에 관련된 하드웨어와 소프트웨어 등과 같은 로봇 구성 요소들의 개발에 관한 연구, 고장이 발생하였을 경우에 수행중인 작업을 지속적으로 그리고 성공적으로 수행할 수 있도록 하는 고장회복을 위한 제어기법 등에 관한 구체적인 방법 등에 대하여 매우 활발한 연구가 필요된다. 마지막으로, 이러한 고장에 대한 내성을 갖는 로봇 매니퓰레이터의 개발에 관한 중요성이 인식되어 국내에서도 높은 관심과 더불어 활발한 연구가 진행되었으면 한다.

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Fault Recover Algorithm for Cluster Head Node and Error Correcting Code in Wireless Sensor Network (무선센서 네트워크의 클러스터 헤드노드 고장 복구 알고리즘 및 오류 정정코드)

  • Lee, Joong-Ho
    • Journal of IKEEE
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    • v.20 no.4
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    • pp.449-453
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    • 2016
  • Failures would occur because of the hostile nature environment in Wireless Sensor Networks (WSNs) which is deployed randomly. Therefore, considering faults in WSNs is essential when we design WSN. This paper classified fault model in the sensor node. Especially, this paper proposed new error correcting code scheme and fault recovery algorithm in the CH(Cluster Head) node. For the range of the small size information (<16), the parity size of the proposed code scheme has the same parity length compared with the Hamming code, and it has a benefit to generate code word very simple way. This is very essential to maintain reliability in WSN with increase power efficiency.

Development of Fuzzy Logic-Based Diagnosis Algorithm for Fault Detection Of Dual-Type Temperature Sensor for Gas Turbine System (가스터빈용 듀얼타입 온도센서의 고장검출을 위한 퍼지로직 기반의 진단 알고리즘 개발)

  • Young-Bok Han;Sung-Ho Kim;Byon-Gon Kim
    • The Journal of the Korea institute of electronic communication sciences
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    • v.18 no.1
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    • pp.53-62
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    • 2023
  • Due to the recent increase in new and renewable energy, gas turbine generators start and stop every day to supply high-quality power, and accordingly, the life span of high-temperature parts is shortened and the failure of combustion chamber temperature sensors increases. Therefore, in this study, we proposed a fuzzy logic-based failure diagnosis algorithm that can accurately diagnose and systematically detect the failure of the sensor when the dual temperature sensor used for gas turbine control fails, and to confirm the usefulness of the proposed algorithm We tried to confirm the usefulness of the proposed algorithm by performing various simulations under the matlab/simulink environment.

An RNN-based Fault Detection Scheme for Digital Sensor (RNN 기반 디지털 센서의 Rising time과 Falling time 고장 검출 기법)

  • Lee, Gyu-Hyung;Lee, Young-Doo;Koo, In-Soo
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.19 no.1
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    • pp.29-35
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    • 2019
  • As the fourth industrial revolution is emerging, many companies are increasingly interested in smart factories and the importance of sensors is being emphasized. In the case that sensors for collecting sensing data fail, the plant could not be optimized and further it could not be operated properly, which may incur a financial loss. For this purpose, it is necessary to diagnose the status of sensors to prevent sensor' fault. In the paper, we propose a scheme to diagnose digital-sensor' fault by analyzing the rising time and falling time of digital sensors through the LSTM(Long Short Term Memory) of Deep Learning RNN algorithm. Experimental results of the proposed scheme are compared with those of rule-based fault diagnosis algorithm in terms of AUC(Area Under the Curve) of accuracy and ROC(Receiver Operating Characteristic) curve. Experimental results show that the proposed system has better and more stable performance than the rule-based fault diagnosis algorithm.

이상 탐지 기법을 활용한 IoT 센서 고장 진단에 관한 연구

  • 성상하;최형림;박도명;김상진
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2023.11a
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    • pp.185-187
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    • 2023
  • 고장 진단은 IoT 장비의 안전성과 효율성을 유지하는데 필요한 기술 중 하나이다. 따라서, 본 연구는 IoT 센서 데이터를 기반한 고장 진단 알고리즘을 개발하는데 목적이 있다. 본 연구는 알고리즘의 효율성을 개선하기 위해 기술통계량을 기반하여 데이터 차원을 축소하였으며, 이를 바탕으로 고장 진단 알고리즘의 정확도 및 연산시간을 개선하였다. 본 연구는 다양한 후보 알고리즘을 활용하여 고장진단을 수행하였으며, 정확도를 기반으로 가장 우수한 알고리즘을 선정하였다. 연구 결과, Isolation Forest 알고리즘이 가장 뛰어난 분류 결과를 나타내었다. 본 연구결과를 통해 IoT 센서의 안전성과 신뢰성을 향상시키는 데 도움을 줄 수 있다.

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Design and Implementation of mobile App for diagnosing sensor of IoT module (IoT모듈의 센서 진단을 위한 모바일 앱 설계 및 구현)

  • Kim, Jin-Hong;Jang, Si-Woong
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2019.05a
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    • pp.118-120
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    • 2019
  • 최근 IoT 모듈 즉, 사물 인터넷 기반 기술에 대한 연구가 활발히 진행되고 있으며, 다양한 제품들이 출시되고 있다. 대표적인 IoT 제품으로 가정에서 인터넷과 모바일 앱을 이용하여 카메라, 전등, 보일러 등을 제어하는 것을 볼 수 있다. 하지만 보통의 IoT모듈은 센서로 값을 추출하는 것이 목적이기 때문에 센서의 정확성과 고장 유 무를 판단하기 힘들다. 본 논문에서는 아두이노와 무선통신, 웹서버, 안드로이드 어플리케이션을 이용해 센서에서 추출된 값을 비교 분석한 표준편차를 이용해 센서의 고장 유 무를 판단 할 수 있는 모바일 앱을 설계 및 구현하고자 한다. 아두이노의 와이파이, 온습도센서 모듈 등을 이용하여 통신 연결을 하고 각종 환경, 제어정보들을 HTTP통신을 이용하여 웹서버와 통신하여 전달하고 제어한다. 이로써 사용자가 직접 IoT모듈에 가지 않아도 스마트폰 어플리케이션을 통해 센서 상태를 모니터링 및 진단하고 고장 유 무를 파악하여 교체시기를 알려주는 기능을 구현하였다.

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Study of Fault Detection Method for Two-Degree of Freedom Dynamically Tuned Gyros on Orthogonal Configuration (2 자유도 동조자이로 직교배치에 대한 고장검출기법 연구)

  • Kim, Jeong-Yong;Oh, Jun-Seok;Roh, Woong-Rae
    • Aerospace Engineering and Technology
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    • v.6 no.2
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    • pp.150-156
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    • 2007
  • In this paper, we focus on the fault detection and isolation(FDI) method for inertial navigation system with three two-degree of freedom dynamically tuned gyros(DTG) on orthogonal sensor configuration. we propose the FDI method which can detect the fault of each DTGs rather than the fault of each sensing axis. The proposed FDI method is separated into two FDI modules according to the fault magnitude in order to improve the reliability of fault detection information. For large fault detection, only instantaneous DTG measurement is used to detect a fault DTG within a short time. For small fault detection, the integrated value of DTG measurements are used to detect a fault DTG. It takes a more time to detect a fault but it serves more reliable fault detection information. Using the proposed FDI method with consideration of DTG fault characteristic, we could find out a fault DTG successfully.

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