• 제목/요약/키워드: Fault Monitoring

검색결과 705건 처리시간 0.091초

GPS 정밀시각동기를 이용한 전력계통 모니터링 시스템에 관한 연구 (A Study on the Power Monitoring System using GPS for Accurate Time Synchronization)

  • 김혁수;전성준;김기택
    • 제어로봇시스템학회:학술대회논문집
    • /
    • 제어로봇시스템학회 2000년도 제15차 학술회의논문집
    • /
    • pp.285-285
    • /
    • 2000
  • A continuous and reliable electrical energy supply is the objective of any power system operation. A transmission line is the part of the power system where faults are most likely to happen. This paper describes the use of wavelet transform for analyzing power system fault transients in order to determine the fault location. Synchronized sampling was made possible by precise time receivers based on GPS time reference, and the sampled data were analyzed using wavelet transform. This paper describes a fault location monitoring system and fault locating algorithm with GPS, DSP processor, and data acquisition board, and presents some experimental results and error analysis.

  • PDF

위너 필터와 충격 펄스 카운팅을 이용한 저속 기계용 구름 베어링의 결함 검출 (Fault Detection of Rolling Element Bearing for Low Speed Machine Using Wiener Filter and Shock Pulse Counting)

  • 박성택;원종일;박성범;우흥식
    • 한국소음진동공학회논문집
    • /
    • 제22권12호
    • /
    • pp.1227-1236
    • /
    • 2012
  • The low speed machinery faults are usually caused by the bearing failure of the rolling elements. As the life time of the bearing is limited, the condition monitoring of bearing is very important to maintain the continuous operation without failures. A few monitoring techniques using time domain, frequency domain and fuzzy neural network vibration analysis are introduced to detect and diagnose the faults of the low speed machinery. This paper presents a method of fault detection for the rolling element bearing in the low speed machinery using the Wiener filtering and shock pulse counting techniques. Wiener filter is used for noise cancellation and it clearly makes the shock pulse emerge from the time signal with the high level of noise. The shock pulse counting is used to determine the various faults obviously from the shock signal with transient pulses not related with the bearing fault. Machine fault simulator is used for the experimental measurement in order to verify this technique is the powerful tool for the low speed machine compared with the frequency analysis. The test results show that the method proposed is very effective parameter even for the signal with high contaminated noise, speed variation and very low energy. The presented method shows the optimal tool for the condition monitoring purpose to detect the various bearing fault with high accuracy.

과도상태에서의 고장검출을 위한 Hotelling T2 Index 기반의 PCA 기법 (Hotelling T2 Index Based PCA Method for Fault Detection in Transient State Processes)

  • ;;김세윤;김성호
    • 제어로봇시스템학회논문지
    • /
    • 제22권4호
    • /
    • pp.276-280
    • /
    • 2016
  • Due to the increasing interest in safety and consistent product quality over a past few decades, demand for effective quality monitoring and safe operation in the modern industry has propelled research into statistical based fault detection and diagnosis methods. This paper describes the application of Hotelling $T^2$ index based Principal Component Analysis (PCA) method for fault detection and diagnosis in industrial processes. Multivariate statistical process control techniques are now widely used for performance monitoring and fault detection. Conventional methods such as PCA are suitable only for steady state processes. These conventional projection methods causes false alarms or missing data for the systems with transient values of processes. These issues significantly compromise the reliability of the monitoring systems. In this paper, a reliable method is used to overcome false alarms occur due to varying process conditions and missing data problems in transient states. This monitoring method is implemented and validated experimentally along with matlab. Experimental results proved the credibility of this fault detection method for both the steady state and transient operations.

동기발전기 권선단락사고 고장진단 시스템 (Fault diagnosis system of the short circuit conditions in windings for synchronous generator)

  • 장낙원;이성환
    • Journal of Advanced Marine Engineering and Technology
    • /
    • 제37권5호
    • /
    • pp.520-526
    • /
    • 2013
  • 전력설비 용량의 증가와 기술의 진보에 따라 회전기가 대용량, 고전압화 되고 있다. 그러므로 발전기 고장예방을 위한 진단시스템의 필요성이 점차 증대되고 있다. 따라서 본 논문에서는 동기발전기 불시 정지 사고에 따른 피해를 예방할 수 있는 고장진단 시스템을 개발하였다. 고장진단 시스템을 검증하기 위해 실제 동기발전기와 권선구조가 같은 소규모의 시험장비를 제작하였다. 또한 회전자권선의 단락을 진단하기 위해 홀센서와 검출시스템을 구성하여 정상상태 뿐 아니라 회전자권선 단락 등 다양한 고장상태에 대한 공극자속파형을 검출하였다.

패러티 공간을 이용한 2개 GPS 파라미터 고장진단 (Two-Failure Gps Raim by Parity Space Approach)

  • 유창선;안이기;이상정
    • 한국항공우주학회지
    • /
    • 제31권6호
    • /
    • pp.52-60
    • /
    • 2003
  • GPS(Global Positioning System)를 이용한 항공항법은 이용성과 무결성의 만족을 절대적으로 요구하고 있다. GPS의 무결성에 대한 연구로서 GPS수신기 내부 자체에서 무결성을 모니터링하는 다양한 RAIM(Receiver Autonomous Integrity Monitoring)기법이 연구되어 왔으며 이들 중에서 패러티 공간을 이용한 고장진단기법은 패러티 백터의 크기와 방향성을 이용할 수 있는 편리성을 갖고 있어 비교적 많은 연구가 진행되어 왔다. 한편, 지금까지의 RAIM 기법들은 대부분 단일고장을 가정하며, 실제 적용시 발생할 수 있는 다중고장의 경우 오차요인들의 상호간섭으로 정확한 식별이 어렵다는 단점을 갖고 있다. 본 논문에서는 확장된 패러티 공간에서 고장진단을 다룸으로써 2개의 고장식별에의 적용이 가능함을 보였다.

퍼지 경향 감시 기법을 이용한 무인기용 터보팬 엔진의 손상 탐지에 관한 연구 (A Study on Fault Detection using Fuzzy Trend Monitoring Technique of UAV Turbofan Engine)

  • 공창덕;고성희;기자영;고한영;오성환;김지현
    • 한국추진공학회:학술대회논문집
    • /
    • 한국추진공학회 2007년도 제29회 추계학술대회논문집
    • /
    • pp.345-349
    • /
    • 2007
  • 본 연구에서는 계측 데이터의 성능 추이를 분석하여 엔진의 기계적 결함 여부를 탐지하기 위한 퍼지 경향감시 방법을 제안하였다. 경향감시 방법은 연료유량, 배기가스 온도, 로터회전수, 진동수와 같은 중요 엔진 파라미터를 모니터링하여 시간에 따른 변화를 분석하여 엔진 상태를 진단하는 것이다. 선형회귀분석을 통해 엔진 상태 변화를 수식화하고 퍼지 로직을 통해 진단 결과를 분석하여 예측되는 손상 원인을 제시한다.

  • PDF

AJAX+XML 기반의 모니터링 시스템 (Realtime Monitoring System using AJAX + XML)

  • 최윤정;박승수
    • 디지털산업정보학회논문지
    • /
    • 제5권4호
    • /
    • pp.39-49
    • /
    • 2009
  • Nowadays, according to rapid development of computing environments, information processing and analysis system are very interesting research area. As a viewpoint of data preparation-processing-analysis in knowledge technology, the goal of automated information system is to satisfy high reliability and confidence and to minimize of human-administrator intervention. In addition, we expect the system which can deal with problem and abnormal error effectively as a fault detection and fault tolerance. In this paper, we design a monitoring system as follows. A productive monitoring information from various systems has unstructured forms and characteristics and crawls informative data by conditions and gathering rules. For representing of monitering information which requested by administrator, running-status can be able to check dynamically and systematic like connection/closed status in real-time. Our proposed system can easily correct and processing for monitoring information from various type of server and support to make objective judgement and analysis of administrator under operative target of information system. We implement semi-realtime monitering system using AJAX technology for dynamic browsing of web information and information processing using XML and XPATH. We apply our system to SMS server for checking running status and the system shows that has high utility and reliability.

태양전지모듈 고장 진단 알고리즘을 적용한 모니터링시스템 (The Monitoring System with PV Module-level Fault Diagnosis Algorithm)

  • 고석환;소정훈;황혜미;주영철;송형준;신우균;강기환;최정내;강인철
    • 한국태양에너지학회 논문집
    • /
    • 제38권3호
    • /
    • pp.21-28
    • /
    • 2018
  • The objects of PV (Photovoltaic) monitoring system is to reduce the loss of system and operation and maintenance costs. In case of PV plants with configured of centralized inverter type, only 1 PV module might be caused a large loss in the PV plant. For this reason, the monitoring technology of PV module-level that find out the location of the fault module and reduce the system losses is interested. In this paper, a fault diagnosis algorithm are proposed using thermal and electrical characteristics of PV modules under failure. In addition, the monitoring system applied with proposed algorithm was constructed. The wireless sensor using LoRa chip was designed to be able to connect with IoT device in the future. The characteristics of PV module by shading is not failure but it is treated as a temporary failure. In the monitoring system, it is possible to diagnose whether or not failure of bypass diode inside the junction box. The fault diagnosis algorithm are developed on considering a situation such as communication error of wireless sensor and empirical performance evaluation are currently conducting.

A Design of Condition Monitoring System for Predictive Maintenance

  • Jeong, Hai-Sung;Kim, Heung H.;Sang K. Yun;Elsayed A. Elsayed
    • International Journal of Reliability and Applications
    • /
    • 제2권1호
    • /
    • pp.57-71
    • /
    • 2001
  • Global competition to increase production output and to improve quality is spurring manufacturing companies to use condition monitoring and fault diagnostic systems for predictive maintenance. As monitoring, testing, and measuring techniques develop, predictive control of components and complete systems have become more practical and affordable. In this article, we will consider the computer based data acquisition system for condition monitoring and the condition parameter analysis techniques for fault detection and diagnostics in the machinery and briefly discuss reliability prediction and the limit value determination in condition monitoring.

  • PDF

고압전동기 고정자권선의 부분방전 특징추출 (Feature Extraction of Partial Discharge for Stator Winding of High Voltage Motor)

  • 박재준
    • 정보학연구
    • /
    • 제7권4호
    • /
    • pp.61-69
    • /
    • 2004
  • 본 논문에서는 6.6kV급 고압전동기 모델 코일을 4가지의 권선의 인공적인 결함을 갖도록 제작하였다. 운전중 모의를 위해 모델 코일에 80pF의 에폭시-마이카 커플러를 설치하였으며, TGA를 사용하여 NQN, 부분방전 크기 및 부분방전 패턴 등을 측정하였다. 웨이블렛 변환기법을 이용한 고압전동기의 고정자권선의 결함에서 발생된 부분방전신호의 파형을 통하여 여러 가지의 통계적인 파라메터를 통하여 특징을 추출하였다.

  • PDF