• Title/Summary/Keyword: Diagnosis Method

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Fault Diagnosis of Ball Bearings within Rotational Machines Using the Infrared Thermography Method

  • Kim, Dong-Yeon;Yun, Han-Bit;Yang, Sung-Mo;Kim, Won-Tae;Hong, Dong-Pyo
    • Journal of the Korean Society for Nondestructive Testing
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    • v.30 no.6
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    • pp.558-563
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    • 2010
  • In this paper, the novel approach for the fault diagnosis of the bearing equipped with rotational mechanical facilities was studied. As research works, by applying the ball bearing used extensively in many industrial fields, experiments were conducted in order to propose the new prognostic method about the condition monitoring for the rotational bodies based on the condition analysis of infrared thermography. Also, by using the vibration spectrum analysis, the real time monitoring was performed. As results, it was confirmed that infrared thermography method could be adapted into monitor and diagnose the fault for bearing by evaluating quantitatively and qualitatively the temperature characteristics according to the condition of the ball bearing.

Simultaneous Profiling Analysis of Urinary Organic Acids and Amino Acids by Gas Chromatography and Gas Chromatography-Mass Spectrometry for Biochemical Diagnosis of Inherited Metabolic Disorders

  • Paik, Man-Jeong;Lee, Yoon-Suk;Lee, Hong-Jin;Kim, Sook-Za;Kim, Kyoung-Rae
    • Proceedings of the PSK Conference
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    • 2002.10a
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    • pp.234.2-235
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    • 2002
  • An efficient method for the simultaneous profiling analysis of organic acids and amino acids combined with a simple graphic pattern recognition method was developed for more objective diagnosis of organic acidurias and amino acidurias. In this method, extractive ethoxycarbonly (EOC) reaction of amino and sufhydry groups with ethyl chloroformate was followed by methodime (MO) formation of carbonyl group in aqueous solution (omitted)

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Frequency domain analysis of the urophonography for LUTS diagnosis (하부요로 폐색 진단을 위한 요류음 주파수 분석)

  • Jeong, Do-Un;Jeon, Gye-Rok
    • Journal of Sensor Science and Technology
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    • v.16 no.3
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    • pp.202-210
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    • 2007
  • The aim of this study is to acquire useful information of lower urinary tract symptom (LUTS) diagnosis through urophonography signal as a noninvasive method. The hardware and software which could evaluate the function of compensatory hypertrophy with noninvasive and comfortable method was implemented to measure uroflow and urophonography signal during urination. The PSD (power spectrum density) and the log-log plot gradient analysis were accomplished in frequency domain. For evaluation of the system and analysis method, a model system for the lower urinary system of men was used. From the evaluation of the model system, the PDS and the log-log plot gradient were dependent on the occlusion degree significantly. In a pilot study on normal and abnormal male subjects, the PSD and the log-log plot gradient were highly correlated with the artificial urethral obstruction.

Blind Signal Processing for Medical Sensing Systems with Optical-Fiber Signal Transmission

  • Kim, Namyong;Byun, Hyung-Gi
    • Journal of Sensor Science and Technology
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    • v.23 no.1
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    • pp.1-6
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    • 2014
  • In many medical image devices, dc noise often prevents normal diagnosis. In wireless capsule endoscopy systems, multipath fading through indoor wireless links induces inter-symbol interference (ISI) and indoor electric devices generate impulsive noise in the received signal. Moreover, dc noise, ISI, and impulsive noise are also found in optical fiber communication that can be used in remote medical diagnosis. In this paper, a blind signal processing method based on the biased probability density functions of constant modulus error that is robust to those problems that can cause error propagation in decision feedback (DF) methods is presented. Based on this property of robustness to error propagation, a DF version of the method is proposed. In the simulation for the impulse response of optical fiber channels having slowly varying dc noise and impulsive noise, the proposed DF method yields a performance enhancement of approximately 10 dB in mean squared error over its linear counterpart.

An Application of Decision Tree Method for Fault Diagnosis of Induction Motors

  • Tran, Van Tung;Yang, Bo-Suk;Oh, Myung-Suck
    • Proceedings of the Korea Committee for Ocean Resources and Engineering Conference
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    • 2006.11a
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    • pp.54-59
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    • 2006
  • Decision tree is one of the most effective and widely used methods for building classification model. Researchers from various disciplines such as statistics, machine learning, pattern recognition, and data mining have considered the decision tree method as an effective solution to their field problems. In this paper, an application of decision tree method to classify the faults of induction motors is proposed. The original data from experiment is dealt with feature calculation to get the useful information as attributes. These data are then assigned the classes which are based on our experience before becoming data inputs for decision tree. The total 9 classes are defined. An implementation of decision tree written in Matlab is used for these data.

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Development of Fault Diagnosis for Power Transformer with Fuzzy Theory in Gas Analysis Method (유중가스 분석법에 Fuzzy 이론을 이용한 전력용 변압기 고장진단 기법 개발)

  • Choe, In-Hyeok;Jeong, Gil-Jo;Sin, Myeong-Cheol
    • The Transactions of the Korean Institute of Electrical Engineers C
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    • v.50 no.11
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    • pp.569-574
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    • 2001
  • In this paper, we described the new IEC method with fuzzy theory for detecting abnormal causes within transformer. The proposed technique presented the solution of limitation in case of lying nearly boundary conditions and not having codes for measured gas values in IEC code. Also, we proved the confidence of diagnosed results in the use of the gases values in real fault transformers.

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An Combustion Diagnosis Using Optical Measurement in D. I Diesel Engine with Dual Fuel Stratified Injection System (이종연료 층상분사를 적용한 디젤엔진에서 광 계측을 이용한 연소해석)

  • An, H.C.;Kang, B.M.;Yeom, J.K.;Chung, S.S.;Ha, J.Y.
    • Journal of ILASS-Korea
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    • v.7 no.3
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    • pp.31-37
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    • 2002
  • In previous study, diesel-methanol stratified injection system is manufactured and applied to a D.I. diesel engine in order to realize combustion improvement using methanol, which is oxygenated fuel with large latent heat. We know that NOx and soot is reduced by stratified injection of diesel fuel-methanol. Therefore, in the present study, combustion diagnosis using optical measurement is tried to make clear effect of methanol on simultaneous reduction of NOx and soot. Two-color method is used to measure flame temperature and KL value, which is approximately proportional to the soot consentration along the optical path. Laser induced scattering method was used to measure distribution of soot at two dimensional area. Also, it is compared exhaust characteristics of NOx and soot with results of optical measurement.

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Aging Diagnosis of Underground Distribution Power Cables Using Breakdown Lifetime Prediction (파괴수명예측을 통한 지중배전용 전력케이블의 열화 진단)

  • Kim, Chung-Bae;Lee, Jung-Bin;Lim, Chang-Sub;Jang, Young-Hak;Lee, Jin;Kim, Tae-Sung
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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    • 1999.05a
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    • pp.222-225
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    • 1999
  • Degradation diagnosis of XLPE insulated URD cables was accomplished through out new method. which was to be analyzed non-electrical experiments and synthesized by degradation points. To supplement this method, it was also carried out using several electrical analyses. Breakdown voltages were measured and breakdown lifetimes were Predicted appling for Weibull distribution function. As a result, breakdown lifetime in failure cables was shorted up to 1/3 times than that in general cables. It was very available to estimate cable degradation using above method, but it needs further study on XLPE insulated URD cables in order to improve reliability.

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Method for Inference of Operators' Thoughts from Eye Movement Data in Nuclear Power Plants

  • Ha, Jun Su;Byon, Young-Ji;Baek, Joonsang;Seong, Poong Hyun
    • Nuclear Engineering and Technology
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    • v.48 no.1
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    • pp.129-143
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    • 2016
  • Sometimes, we need or try to figure out somebody's thoughts from his or her behaviors such as eye movement, facial expression, gestures, and motions. In safety-critical and complex systems such as nuclear power plants, the inference of operators' thoughts (understanding or diagnosis of a current situation) might provide a lot of opportunities for useful applications, such as development of an improved operator training program, a new type of operator support system, and human performance measures for human factor validation. In this experimental study, a novel method for inference of an operator's thoughts from his or her eye movement data is proposed and evaluated with a nuclear power plant simulator. In the experiments, about 80% of operators' thoughts can be inferred correctly using the proposed method.

Development of Diagnosis Technique for Converter Bearings by Using Acoustic Emission (음향방출기법을 이용한 전로베어링 안전진단 기술개발)

  • 박경조
    • Journal of the Korean Society of Safety
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    • v.18 no.2
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    • pp.6-15
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    • 2003
  • A method is presented for diagnosing the converter bearings by using acoustic emission. The flaking mechanism causing the large-scale bearing for furnace to flaw is investigated and a possibility of defect is verified by Finite Element method. he diagnosis logic is proposed fir detecting the flaw of a non-continuous rotating machine. It is proved that the acoustic emission energy can be used as a representative parameter for an acoustic event. Applying the method to the tilting bearings for steel mill in operation, the effectiveness of this logic is evaluated. It is shown that AE signal is generated only when the bearing is tilting, and the trend analysis can be focused upon this process.