• 제목/요약/키워드: Vibration Diagnosis

검색결과 480건 처리시간 0.034초

베어링 시스템에서 결함을 초기에 진단하는 방법 (Early Detection of Faults in a Ball Bearing System)

  • 최영철;김양한
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2000년도 춘계학술대회논문집
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    • pp.1102-1107
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    • 2000
  • The signals that can be obtained from a rotating machine often convey the information of machine. For example, if the machine under investigation has faults, then we can measure the signal which has a pulse train, embedded in noise. Therefore the ability to detect the fault signal in noise determines the degree of diagnosis level of rotating machine. In this paper, minimum variance cepstrum (MV cepstrum), which can easily detect impulse in noise, has been applied to detect the type of faults of ball bearing system. To test the performance of this technique, experiment has been performed for ball bearing elements that have man made faults. Results show that minimum variance cepstrum can easily detect the periodicity due to faults.

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연삭가공의 이상상태 진단 기법 (Trouble Diagnostic Method in Grinding Process)

  • 곽재섭
    • 한국공작기계학회:학술대회논문집
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    • 한국공작기계학회 2000년도 춘계학술대회논문집 - 한국공작기계학회
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    • pp.20-27
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    • 2000
  • A chatter vibration and a workpiece burn are the main phenomena to be monitored in modern grinding processes. This study describes a trouble diagnosis of the cylindrical plunge grinding process using the power and acoustic emission (AE) signals. The raw signals of the power and the AE occurred during the grinding operation were sampled and analyzed to determine the relationship between each fault and change of signals. A neural network that has a high success rate of the fault detection was used. Furthermore, an analysis on the influence of parameters to the chatter vibration and the grinding burn was conducted.

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전류 및 진동 데이터를 이용한 유도전동기 고장진단 시스템 구현에 관한 연구 (A Study on Implementation of Fault Diagnosis System for Induction Motor Using Current and Vibration Data)

  • 권정민;이홍희;이명재;윈넉두
    • 전력전자학회:학술대회논문집
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    • 전력전자학회 2006년도 전력전자학술대회 논문집
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    • pp.305-307
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    • 2006
  • 기존에 사용되어 온 진동데이터를 이용한 유도전동기 고장진단 기법은 유도전동기의 전기적 결함을 파악하기 어렵고 특정 고장의 경우 유사한 진동주파수를 포함하고 있어 정확한 고장진단이 어렵다. 본 논문에서는 유도전동기 고장진단 시스템을 구현하기 위해 기존의 진동데이터 분석에 전류 분석기법 중의 하나인 MCSA(Motor Current Signature Analysis)기법을 추가하여 유도전동기 예지보전시스템의 신뢰성을 향상시켰다. 구현된 시스템의 신뢰성을 검증하기 위해 유도전동기의 고장진단을 위한 실험환경을 구축하고 진동데이터만을 이용하여 얻어진 고장진단 결과와 전류데이터 분석을 병행하여 얻어진 고장진단 결과를 비교 분석하였다.

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기어 결함 검출을 위한 포락처리와 웨이블릿 변환의 적용 (Application of Envelop Analysis and Wavelet Transform for Detection of Gear Failure)

  • 구동식;이정환;양보석;최병근
    • 대한기계학회논문집A
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    • 제32권11호
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    • pp.905-910
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    • 2008
  • Vibration analysis is widely used in machinery diagnosis and the wavelet transform has also been implemented in many applications in the condition monitoring of machinery. In contrast to previous applications, this paper examines whether acoustic signal can be used effectively along vibration signal to detect the various local fault, in local fault of gearboxes using the wavelet transform. Moreover, envelop analysis is well known as useful tool for the detection of rolling element bearing fault. In this paper, a acoustic emission (AE) sensor is employed to detect gearbox damage by installing them around bearing housing at driven-end side. Signal processing is conducted by wavelet transform and enveloping to detect her fault all at once gearbox using AE signal.

자왜 트랜스듀서를 이용한 유도 비틀림파의 발생 및 배관의 이상진단 (The generation of torsional waves and the pipe diagnosis using magnetostrictive transducers)

  • 박찬일;한순우;조승현;김윤영
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2003년도 추계학술대회논문집
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    • pp.544-548
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    • 2003
  • The objective of this investigation is to develop an efficient method to generate and measure torsional waves in non-ferromagnetic waveguides by using magnetostrictive transducers. In existing methods using a nickel strip that is attached circumferentially to the test specimen such as aluminum pipes, large current input to the magnetostrictive transducer often generates undesired wave modes in addition to desired torsional wave. However, we propose an improved method to generate the torsional waves without being accompanied by other undesirable wave modes regardless of the input current magnitude. The specific transducer configuration and its performance will be presented in the present investigation.

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연속주조기 Mold Oscillation 진단시스템 개발 (Development of Diagnostic System for Mold Oscillation in a Continuous Slab Casting Machine)

  • 이성진;전형일;이경순
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2002년도 춘계학술대회논문집
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    • pp.387-392
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    • 2002
  • A portable mould oscillation analyzer with an integrated computer, developed by POSCO, records the movement of the mould in every spatial direction. The system uses the gap sensors to measure the mould movement (displacement) in two horizontal directions according to the mould narrow and broad faces and the vertical strokes in the four corners of mould. The gap sensor is a non-contacting minute displacement-measuring device using the principle of high frequency eddy current loss. The mould oscillation diagnostic system integrates the gap sensors, their converters and the industrial portable computer with plug-in data acquisition boards. In an own expert module, which is included in the diagnosis program, one can obtain much information about the mould oscillation equipment.

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전류분석을 이용한 유도 전동기의 결함분석 알고리듬 개발 (A Development of the Algorithm to Detect the Fault of the Induction Motor Using Motor Current Signature Analysis)

  • 신대철;정병훈
    • 한국소음진동공학회논문집
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    • 제14권8호
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    • pp.675-683
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    • 2004
  • The motor current signature provides an important source of the information for the faults diagnosis of three-phase induction motor. The theoretical principles behind the generation of unique signal characteristics, which are indicative of failure mechanisms, are Presented. The fault detection techniques that can be used to diagnose mechanical Problems, stator and rotor winding failure mechanisms, and air-gap eccentricity are described. A theoretical analysis is presented which predicts the presence of unique signature patterns in the current that are only characteristics of the fault. The predictions are verified by experimental results from a special fault Producing test rig and on-site tests in a steel company. And this study have made new diagnostic algorithm for the operating induction motors with the test results. These developments are including the use of monitoring and analysis of electric current to diagnose mechanical and electrical problems and gave the precise test results automatically.

벨트 이송 시스템의 결함 진단을 위한 시뮬레이션 (Simulation for Defect Diagnosis in Belt Transport System)

  • 이남훈;유상헌;인용석;최연선;구자춘
    • 한국소음진동공학회논문집
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    • 제16권4호
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    • pp.366-371
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    • 2006
  • As functional requirements of automatic office machines like printers, Automatic Tellex Machines(ATMs), copying machines are on a trend for the higher speed and precision, extensive technical advances are being developed and implemented in the industry. Media transport system is a device to convey a sheet of paper in ATMs and printers. The stability of media transport system is a matter of concern as their operating throughput rapidly increases. And defects of belts or rollers in a transport system directly affect the level of stability of the system. Therefore an automatic diagnostic system for predicting various defects is necessary for the stable operation of the media transport system. A simulation based on multi-body dynamics has been done for a feasibility study of a system design for the defect anticipation.

중성자 신호이용 원자로 내부 구조물 감시시스템 구성 (Composition of Diagnostic System for Reactor Internal Structures Using Neutron Noise)

  • 박종범;김종봉;박진호
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2002년도 하계학술대회 논문집 D
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    • pp.2252-2254
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    • 2002
  • The Reactor internal structures which consist of many complex components are subjected to flow-induced vibration due to high temperature and pressure in Reactor coolant system. The above flow-induced vibration causes degradation of structural integrity of the Reactor and may result in loosing mechanical binding component which might impact other equipment and component or cause flow blockage. It is important to analyze reactor noise signal for the early detection of potential problem or failure in order to diagnosis reactor integrity in the point of view of safety and plant economics. Detailed composition of diagnostic system reactor internal structures using neutron noise(RIDS).

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BSS를 이용한 회전 기계 진단 신호 분석 (Identification of fault signal for rotating machinery diagnosis using Blind Source Separation (BSS))

  • Seo, Jong-Soo;Lee, Jeong-Hak;J. K. Hammond
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2003년도 춘계학술대회논문집
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    • pp.839-845
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    • 2003
  • This paper introduces multichannel blind source separation (BSS) and multichannel blind deconvolution (MBD) based on higher order statistics of signals from convolutive mixtures. In particular, we are concerned with the case that the number of inputs is the same as the number of outputs. Simulations for two input two output cases are carried out and their performances are assessed. One of the major applications of those sequential algorithms (BSS and MBD) is demonstrated through the fault signal detection from only a single measurement of rotating machine, which offers a certain degree of practicability in the engineering field such as machine health monitoring or condition monitoring.

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