• Title/Summary/Keyword: Fault signal

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A study on Application for Signal Acquisition and Analysis for Motor Fault Diagnosis (전동기 고장 진단을 위한 신호 수집 및 분석용 도구에 관한 연구)

  • Kim, Ki-Seok;Cho, Yong-Ho;Ka, In-Ho;Hong, Sun-Ki
    • Proceedings of the KIEE Conference
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    • 2015.07a
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    • pp.876-877
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    • 2015
  • 전동기의 고장 진단을 함에 있어 데이터의 수집은 필수적으로 이루어 져야 하며 데이터를 수집하는 과정에서 데이터의 손상이나 손실을 없애기 위해 어플리케이션을 만들었다. 제작한 어플리케이션은 모터의 전압과 전류, 소음과 진동을 실시간으로 측정 할 수 있으며, 고장 여부를 판단 할 수 있도록 파일로 저장 가능하게 만들었고, 저장하는 과정에서 데이터가 손실 되지 않도록 버퍼를 사용하였다. 더 효율적으로 측정이 가능하도록 하여 전동기의 고장 진단에 있어 확실한 데이터를 얻을 수 있도록 연구하였다.

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Wear Detection in Gear System Using Hilbert-Huang Transform

  • Li, Hui;Zhang, Yuping;Zheng, Haiqi
    • Journal of Mechanical Science and Technology
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    • v.20 no.11
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    • pp.1781-1789
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    • 2006
  • Fourier methods are not generally an appropriate approach in the investigation of faults signals with transient components. This work presents the application of a new signal processing technique, the Hilbert-Huang transform and its marginal spectrum, in analysis of vibration signals and faults diagnosis of gear. The Empirical mode decomposition (EMD), Hilbert-Huang transform (HHT) and marginal spectrum are introduced. Firstly, the vibration signals are separated into several intrinsic mode functions (IMFs) using EMD. Then the marginal spectrum of each IMF can be obtained. According to the marginal spectrum, the wear fault of the gear can be detected and faults patterns can be identified. The results show that the proposed method may provide not only an increase in the spectral resolution but also reliability for the faults diagnosis of the gear.

Dynamic characteristic for vibration mount of MG-Set (전동-발전기의 방진 마운트에 기인한 공진현상 및 동특성 규명)

  • Yoo, Musang;Oh, Kyonghan;Joo, Ingouk;Kim, Hyojin;Roh, Cheolwoo
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2013.04a
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    • pp.816-821
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    • 2013
  • This case study presents a practical method to reduce resonant vibration of generator-motor set. The generator is driven at 1800rpm by induction integral motor. The vibration is below alarm limits, but the dominant frequency of vibration is sub-synchronous and close to that of bearing fault signal in spite of new bearings. To find an mechanism of abnormal vibration, ODS and Modal analysis is carried out. The measured modal characteristics were compared with those of FE Analysis. The ODS mode at rated speed is consistent with system natural frequency mode that is excited by bearings. To reduce vibration level, the isolation mount at system base is changed with new rubber mount for lower natural frequency.

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Study of Series Arc Waveform Causing Electrical Fire (전기화재를 유발하는 직렬 아크 파형의 고찰)

  • Hwang, Jin-Kwon
    • Proceedings of the Korea Institute of Fire Science and Engineering Conference
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    • 2008.04a
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    • pp.185-188
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    • 2008
  • An apparatus for serial arc in UL 1699 is implemented Current waveforms of arc and a nonlear load are investigated and a method of arc detection can be considered. Introduction of digital signal processing technologies is suggested to correctly detect arcs of electrical fire pyrognostics. This study is expected to be utilized as the basis of such arc detection researches.

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Implementation of a DCS Terminal Remote Monitoring System using Wire and Wireless Communication (유무선 통신을 이용한 DCS 터미널 원격 감시 시스템 구현)

  • Baek, Yeong-Tae;Lee, Se-Hoon
    • Journal of the Korea Society of Computer and Information
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    • v.12 no.3
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    • pp.267-275
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    • 2007
  • In this paper, we designed and implemented DCS terminal remote monitoring middleware for real-time auditor and management terminal status signal with relay and fuse status at power management room. The middleware consist of four component as event analyzer, event manager, service manager and user interface. We expected economic effects extend relay life-time that pre-detected errors and prevented relay fault.

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Development of Arc Detection Algorithm for 50 kW Photovoltaic System (50kW 태양광 설비의 아크 검출 알고리즘 개발)

  • Kim, Sang-Kyu;Lee, Chang-Sung;Ji, Pyeong-Shik
    • The Transactions of the Korean Institute of Electrical Engineers P
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    • v.67 no.1
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    • pp.27-32
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    • 2018
  • In this paper, we developed an algorithm to detect arc of PV power plant through frequency analysis. For arc detection based on frequency analysis, the filter should be designed to emphasize the difference between the arc state and the normal state. Therefore, in this paper, we analyzed the arc detection performance according to various filter structures. The arc detection algorithm developed in this paper extracts the filtering signal on current by using various filters and then calculates the frequency components and total energy using the FFT. In the final step, the arc is detected using the calculated energy magnitude. In order to verify the performance of the proposed arc detection algorithm, experiments were conducted on 51 kW solar inverters connected to power line. Through various experiments, it was confirmed that the proposed method effectively detects the arc.

Real-time Monitoring of Ethernet Passive Optical Network Using Burst-mode FBGs

  • Binh, Nguyen Khac;Choi, Su-il
    • Current Optics and Photonics
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    • v.4 no.3
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    • pp.186-192
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    • 2020
  • This paper describes a real-time monitoring system in Ethernet passive optical networks (EPON) that uses burst-mode fiber Bragg grating (FBG) optical sensors. The FBG interrogation unit in the optical line terminal (OLT) transmits the monitoring wavelength to optical network units (ONUs). The FBG sensor unit in each ONU returns a burst-mode monitoring signal to the OLT. As the system applies time division multiple access (TDMA), a uniform Bragg wavelength can be used to monitor the EPON system. The FBG interrogation unit analyzes the received burst-mode monitoring signals and outputs fault information on the ONU branches in EPON. The simulation results show the effectiveness of the proposed monitoring system based on TDMA. In addition, we compared the proposed TDMA-based monitoring system with a WDMA-based monitoring system.

Development of Condition Monitoring and Diagnosis System for Rotating Machinery (회전기계의 상태감시 및 진단 시스템 개발)

  • 함종석;이종원;박성호;양보석;황원우;최연선;전오성
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2003.05a
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    • pp.950-955
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    • 2003
  • This paper introduces an enhanced condition monitoring and diagnosis system recently developed for rotating machinery. In the system, the data aquisition/monitoring signal processing, machine condition classifier, case-based reasoning and demonstration modules are effectively integrated with user-friendliness so that machine operators can easily monitor and diagnose the status of rotating machinery in operation. Some of the new features include the directional spectrum, case-based reasoning and neural network techniques. And the demonstrator modules for fault diagnosis of a Bear driving system and for basic understanding of the rotor dynamics are provided to help the potential users better understand the system.

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Expert System for Induction Motor Online Fault Diagnostics (유도전동기의 온라인 고장 진단을 위한 전문가 시스템에 대한 연구)

  • Lee, Hong-Hee;Nguyen, Ngoc-Tu;Kwon, Jung-Min;Yi, Myeung-Jae;Chung, Moon-Young;Lee, Byeung-Yeol
    • Proceedings of the KIPE Conference
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    • 2005.07a
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    • pp.643-646
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    • 2005
  • The paper discusses the main problems in induction motor diagnosis by motor current and vibration signals, possible faults and effects produced by these faults in the signal spectrums. Decision Tree is introduced as a tool to diagnose the motor status, this expert system is implemented to detect the incipient defects, supervise and predict them, and plan the maintenance of the motor.

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Improvements to the stability of electric field sensors

  • Lee, Dong-Oh;Robert Boston;Dietrich W. Langer;Joel Falk
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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    • 1998.06a
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    • pp.495-496
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    • 1998
  • The measurement of the amplitude and phase of electric fields on high voltage transmission lines is important for several reasons including a) Metering and determination of power flow, b) protective relaying. and c) fault sensing. The work reported here is directed toward a major improvement to optically based, electric-field sensors. This is a signal processing based technique for overcoming the instabilities of conventional, optically-based, electric-field sensors to changes in optical power or temperature.

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