• Transactions of the Korean Society for Noise and Vibration Engineering
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• v.13 no.1
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• pp.48-55
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• 2003

Hidden Markov Model(HMM) has a doubly embedded stochastic process with an underlying stochastic process that can be observed through another set of stochastic processes. This structure of HMM is useful for modeling vector sequence that doesn't look like a stochastic process but has a hidden stochastic process. So, HMM approach has become popular in various areas in last decade. The increasing popularity of HMM is based on two facts : rich mathematical structure and proven accuracy on critical application. In this paper, we applied continuous HMM (CHMM) approach with AR coefficient to detect and predict the chatter of lathe bite and to diagnose the wear of oil Journal bearing using rotor shaft displacement. Our examples show that CHMM approach is very efficient method for machine health monitoring and prediction.

• Journal of KSNVE
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• v.6 no.4
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• pp.394-409
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• 1996

본 고는 ISO(International Organization for Standardization)의 TC 108 (Vibration 및 Shock) 기술위원회 SC2와 SC5가 공동으로 작성중인 기계의 상태감시에 관한 4차 Working Draft를 번역한 것이다. ISO는 현재 상태감시 및 진단에 관한 규격을 처음으로 제정중에 있고, 그중에서 본 고의 내용은 거의 마무리 단계에 있다. 국내에는 발전 및 석유화학플랜트를 비롯한 다양한 설비들이 가동중에 있고, 설비 운용적인 측면에서 최근 상태감시시스템을 도입하고 있다. 그러나 이에 관련하여 기계의 상태를 정확하고 확실하게 평가할 수 있는 통일적이고도 객관적인 삼시순서가 설정되어 있지 않고, 관련시스템 제작사의 기준에 의존하고 있는 실정이다. 따라서 본 고는 현장의 설비 운용 및 보전담당자에게 통일적인 지침을 제공할 수 있는 최선의 객관적인 자료로서 관련 기술자들에게 도움이 되었으면 한다.

• Proceedings of the Korean Vacuum Society Conference
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• 2015.08a
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• pp.101.2-101.2
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• 2015

급속한 산업화로 인하여 에너지 부족 문제가 대두되고 있는 가운데 에너지 저감 기술의 개발이 요구되고 있다. 국내 반도체 공정의 배기계통에서 소비되는 에너지는 전체 공정에 소비되는 에너지중 상당량에 달하며 10%의 에너지 절감은 연간 1000억원 이상의 비용절감 효과를 기대할 수 있다. 반도체 공정 배기계통은 진공펌프의 특성, 챔버의 부피, 도관의 구조(직경, 길이, 형상), 진공재료의 기체방출 등 여러 가지 요소의 복합적인 영향으로 그 상태가 달라지므로 보다 효과적인 공정의 운용과 에너지 절감을 위해 반도체 공정의 복합 상태 진단기술 개발이 요구되고 있으며 그중 큰 비중을 차지하는 드라이펌프의 실시간 모니터링 기술의 개발이 시급하다. 본 연구에서는 반도체 공정의 복합 상태 진단기술 개발에 대한 기초 연구로서 반도체 공정 배기계통의 conductance 및 유량 변화에 대한 드라이펌프의 특성을 이론적 계산으로 얻어진 결과와 실험을 통하여 얻어진 결과를 비교, 분석하였다. 진공펌프의 기본 특성은 한국표준과학연구원에서 국제규격에 따라 도달진공도, 배기속도, 소비전력, gas load, 소음, 진동 등을 분석하였고, 나노종합기술원의 PECVD 장비(chamber A: amorphous silicon 및 loadlock chamber)에 챔버의 부피, 도관의 구조, 공정가스의 유량 등을 측정하여 simulation 하였으며, 실제 측정값은 LabVIEW 프로그래밍으로 자동화 된 MFC를 이용하여 실제 공정 상태를 모사하였다. 실험은 PECVD의 특성을 고려하여 질소분위기에서 CDG (Capacitance Diaphragm Gauge)를 사용하였다.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2009.10a
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• pp.544-547
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• 2009

Standardization in the fields of mechanical vibration and shock and the effects of vibration and shock on humans, machines, vehicles (air, sea, land and rail) and stationary structures, and of the condition monitoring of machines and structures, using multidisciplinary approaches.

• Journal of KSNVE
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• v.11 no.1
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• pp.125-131
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• 2001

There is a clearance between the parts of a machine due to design tolerance, manufacturing error, wear, looseness, or misalignment. If the clearance is large, the vibration and noise of the machine is generally large. Therefore, the analysis on the nitration and noise of a machine can tell the clearance of the machine, which reveals the condition of the machine, i.e., the existence of faults and the safety of the machine. The investigation of this kind of research should be on the basis of experimental results. A link mechanism with a clearance at a joint between the coupler and locker is made for the investigation of the condition monitoring of a machine due to clearance. The vibration and sound are measured from the link driving system during the operation. The signals are clarified using line enhancement technique. The noise removed signals are used to develop the dynamic model of the system for a model based fault diagnosis. Also this study showed that the clarified signals can be used for the calculation of the joint forces between the coupler and rocker and for the correlation between the vibration and sound levels and the clearance sizes.

• Transactions of the Korean Society for Noise and Vibration Engineering
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• v.22 no.5
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• pp.413-421
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• 2012

In industry, various rotating machinery such as pumps, gas turbines, compressors, electric motors, generators are being used as an important facility. Due to the industrial development, they make high performance(high-speed, high-pressure). As a result, we need more intelligent and reliable machine condition diagnosis techniques. Diagnosis technique using hidden Markov-model is proposed for an accurate and predictable condition diagnosis of various rotating machines and also has overcame the speed limitation of time/frequency method by using compensation of the rotational speed of rotor. In addition, existing artificial intelligence method needs defect state data for fault detection. hidden Markov model can overcome this limitation by using normal state data alone to detect fault of rotational machinery. Vibration analysis of step-up gearbox for wind turbine was applied to the study to ensure the robustness of diagnostic performance about compensation of the rotational speed. To assure the performance of normal state alone method, hidden Markov model was applied to experimental torque measuring gearbox in this study.

• Transactions of the Korean Society for Noise and Vibration Engineering
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• v.21 no.2
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• pp.146-153
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• 2011

Model based machine condition diagnosis methods are generally using a normal and many failure models which need sufficient data to train the models. However, data, especially for failure modes of interest, is very hard to get in real applications. So their industrial applications are either severely limited or impossible when the failure models cannot be trained. In this paper, continuous hidden Markov model(CHMM) with only a normal model has been suggested as a very promising machine condition diagnosis method which can be easily used for industrial applications. Generally hidden Markov model also uses many pattern models to recognize specific patterns and the recognition results of CHMM show the likelihood trend of models. By observing this likelihood trend of a normal model, it is possible to detect failures. This method has been successively applied to arc weld defect diagnosis. The result shows CHMM's big potential as a machine condition monitoring method.

• Transactions of the Korean Society for Noise and Vibration Engineering
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• v.26 no.6_spc
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• pp.651-659
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• 2016

Condition monitoring (CM) encounters a large data problem due to sensors that measure vibration data with a continuous, and sometimes, high sampling rate. In this study, compressive sensing approaches for condition monitoring are proposed to demonstrate the efficiency in handling a large amount of data and to improve the damage detection capability of the current condition monitoring process. Compressive sensing is a novel sensing/sampling paradigm that takes much fewer samples compared to traditional sampling methods. For the experiments a built-in rotating system was used and all data were compressively sampled to obtain compressed data. Optimal signal features were then selected without the reconstruction process and were used to detect and classify damage. The experimental results show that the proposed method could improve the data processing speed and the accuracy of condition monitoring of rotating systems.

• Proceedings of the Korean Society of Computer Information Conference
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• 2019.07a
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• pp.11-12
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• 2019

본 논문에서 에스컬레이터 기계실 내부 전동기, 감속기, 구동 체인의 IoT 소음 및 진동 센서를 부착하여 에스컬레이터 운영중 실시간 상태 감시가 가능한 IoT 기반 에스컬레이터 고장 예지 시스템을 제안한다. IoT 소음 및 진동 센서는 에스컬레이터 운영 중 발생하는 소음 및 진동 데이틀 수집하여 PHM(Prognostics and Health Management) 서버로 전송하며, 서버에서는 진단 알고리즘을 통해 고장 유 무를 판단한다. 소음 데이터를 이용한 체인 피치 길이 알고리즘을 검증하기 위하여 실제 체인의 길이를 측정한 결과 값과 비교한 결과 99.8% 정확도를 가지며, 진동 데이터를 이용하여 전동기, 감속기의 상태 판단을 위한 알고리즘 검증을 위해 AST 사의 진동 센서와 비교한 결과 약간의 오차는 발생하지만 ISO 10816-3을 기준으로 한 판단 결과 값은 동일한 결과 값을 가지는 것을 확인하였다.

• Journal of Advanced Marine Engineering and Technology
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• v.32 no.1
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• pp.42-49
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• 2008

Most of vessels are not evaluated for their vibration and noise effects to human body. The vibration and noise generated by engine and auxiliary machine in vessel is a negative element for seamen. Therefore, in this paper, the diagnosis and evaluation of vibration and noise from vessel is accomplished by a shipbuilding corporation. The vibration and noise transferred from engine room and auxiliary machine was measured during the steady-state operation, and the vibration and noise map of vessel was made. Also, in order to evaluate the ship environment for human, the diagnosis is carried out on the base of measurement results.