• Title/Summary/Keyword: Engine Monitoring

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Development of Engine/Rotor Vibration Analysis and Monitoring System(EVAMOS) for Marine Vessels (선박용 엔진/회전체 진동 분석 및 모니터링 시스템(EVAMOS) 개발에 관하여)

  • Lee, D.C.;Joo, G.S.;Nam, T.K.;Kim, E.S.;Kim, S.H.
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2008.11a
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    • pp.331-336
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    • 2008
  • Engine builders have separately developed and applied torsional, axial and structural vibration monitoring system on most marine engines. These systems displayed their results for engine or ship operation engineers and were not regularly stored at the hardware of computer. So, tile history and trend of various engine and hull vibrations was not supported for preventive maintenance and to protect the failure of these activity or function. The integrated vibration or stress monitoring system(EVAMOS : Engine/Rotor Analysis and monitoring System) in marine diesel engine, its machineries and hull have been developed by the dynamics laboratory of Mokpo Maritime University during last 3 years. This paper introduces tile design conception and ability of commercial software EVAMOS with field data on several actual tests.

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Development of Practical Integral Condition Monitoring System for A Small Turbojet Engine Using SIMULINK and LabVIEW (SIMULINK와 LabVIEW를 이용한 소형 터보제트 엔진의 실용 통합 상태 진단 시스템 개발)

  • Kong, Changduk;Kho, Seonghee;Park, Gilsu;Park, Gwanglim
    • Journal of the Korean Society of Propulsion Engineers
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    • v.17 no.1
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    • pp.80-88
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    • 2013
  • In currently developed engine condition monitoring systems, most field engine maintenance engineers have difficulties to use them in fields due to complexity, unpractical use, lack of understanding, etc. Therefore a practical usable engine condition monitoring system must be needed. This work proposes a practical performance condition monitoring of a small turbojet engine through comparing between the on-line performance monitoring data and the initial clean performance data calculated by the base engine performance model. Moreover the proposed monitoring system checks the gas path components' on-line health condition through comparing the component performance characteristics between the running engine represented as a deteriorated engine or a degraded engine and the base engine performance model represented as a clean engine. The proposed condition monitoring system is coded in a friendly GUI type program for easy practical application by a commercial tool, MATLAB/SIMULINK and LabVIEW.

A Study on Development of Industrial Engine Monitoring System Using Smart Phone Application (스마트폰 앱을 이용한 산업용 엔진의 모니터링 시스템 개발에 관한 연구)

  • Jeong, C.S.;Kim, Y.S.;Jeong, Y.M.;Kho, J.H.;Jeong, K.S.;Lee, H.S.;Yang, S.Y.
    • Journal of Drive and Control
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    • v.10 no.2
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    • pp.7-12
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    • 2013
  • In this study, a wire/wireless communication system transmitting the operation data of engine from the ER (Engine Room) to the engine controller of ECR(Engine Control Room) has been developed through the communication of ISM(Industrial Science Medical) Band for the test operation environment improvement of medium speed engine. This wire/wireless communication system is composed of the RTU (Remote Terminal Unit) gathering and transmitting engine data as well as the MCU (Master Control Unit) receiving engine status information from the RTU to be sent to the engine controller (PLC). Through this study, a trial product of RTU and MCU has been manufactured. A test bench that has made temperature, pressure and pick-up sensor into a module for the local test of prototype was produced a test bench. In addition, at the same time save the data to a Web server and the smart phone real-time monitoring system has been developed using Wi-Fi communications. The ultimate objective of this study is to develop a wireless smart phone monitoring system of engine for the operator of engine to be able to monitor and control engine status even from the outside of engine room and control room based on this study.

Trend Monitoring of A Turbofan Engine for Long Endurance UAV Using Fuzzy Logic

  • Kong, Chang-Duk;Ki, Ja-Young;Oh, Seong-Hwan;Kim, Ji-Hyun
    • International Journal of Aeronautical and Space Sciences
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    • v.9 no.2
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    • pp.64-70
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    • 2008
  • The UAV propulsion system that will be operated for long time at more than 40,000ft altitude should have not only fuel flow minimization but also high reliability and durability. If this UAV propulsion system may have faults, it is not easy to recover the system from the abnormal, and hence an accurate diagnostic technology must be needed to keep the operational reliability. For this purpose, the development of the health monitoring system which can monitor remotely the engine condition should be required. In this study, a fuzzy trend monitoring method for detecting the engine faults including mechanical faults was proposed through analyzing performance trends of measurement data. The trend monitoring is an engine conditioning method which can find engine faults by monitoring important measuring parameters such as fuel flow, exhaust gas temperatures, rotational speeds, vibration and etc. Using engine condition database as an input to be generated by linear regression analysis of real engine instrument data, an application of the fuzzy logic in diagnostics estimated the cause of fault in each component. According to study results. it was confirmed that the proposed trend monitoring method can improve reliability and durability of the propulsion system for a long endurance UAV to be operated at medium altitude.

Development of On-line Condition Monitoring Program of a Turboprop Engine (터보프롭 엔진의 온라인 상태감시 프로그램 개발에 관한 연구)

  • Kong, Chang-Duk;Kim, Keon-Woo;Lim, Se-Myung;Kim, Ji-Hyun
    • Proceedings of the Korean Society of Propulsion Engineers Conference
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    • 2010.05a
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    • pp.295-299
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    • 2010
  • Recently, development and application of the condition monitoring and diagnostic system for improvement of durability and reliability and reduction of operating cost is generalized in the aircraft propulsion system. Especially, for reliable operation of the UAV which is flying in high altitude more than 40,000 ft for a long time an condition monitoring system to identify faults and degradations of its propulsion system should be needed. Therefore, this work proposes an on-line condition monitoring program using MATLAB/SIMULINK. In the development phase of the program, a engine signal generation module is used to simulate real engine measuring parameters instead of the real engine. The proposed on-line condition monitoring program was applied to a real turboprop engine to validate its application capability.

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A Study on Trend Monitoring of a Long Endurance UAV s Gas Turbine to be Operated at Medium High Altitude

  • Kho, Seong-Hee;Ki, Ja-Young;Kong, Chang-Duk;Oh, Seong-Hwan;Kim, Ji-Hyun
    • Proceedings of the Korean Society of Propulsion Engineers Conference
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    • 2008.03a
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    • pp.84-88
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    • 2008
  • The UAV propulsion system that will be operated for long time at more than 40,000ft altitude should have not only fuel flow minimization but also high reliability and durability. If this UAV propulsion system may have faults, it is not easy to recover the system from the abnormal, and hence an accurate diagnostic technology must be needed to keep the operational reliability. For this purpose, the development of the health monitoring system which can monitor remotely the engine condition should be required. In this study, a fuzzy trend monitoring method for detecting the engine faults including mechanical faults was proposed through analyzing performance trends of measurement data. The trend monitoring is an engine conditioning method which can find engine faults by monitoring important measuring parameters such as fuel flow, exhaust gas temperatures, rotational speeds, vibration and etc. Using engine condition database as an input to be generated by linear regression analysis of real engine instrument data, an application of the fuzzy logic in diagnostics estimated the cause of fault in each component. According to study results, it was confirmed that the proposed trend monitoring method can improve reliability and durability of the propulsion system for a long endurance UAV to be operated at medium altitude.

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Development of Engine Vibration Analysis and Monitoring System(EVAMOS) for Marine Vessels (선박용 엔진 진동 분석 및 모니터링 시스템(EVAMOS) 개발에 관하여)

  • Lee, D.C.;Joo, K.S.;Nam, T.K.;Kim, E.S.;Kim, S.H.
    • Transactions of the Korean Society for Noise and Vibration Engineering
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    • v.19 no.2
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    • pp.155-161
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    • 2009
  • Engine builders have separately developed and applied torsional, axial and structural vibration monitoring system on most marine engines. These systems displayed their results for engine or ship operation engineers and were not regularly stored at the hardware of computer. So, the history and trend of various engine and hull vibrations were not supported for preventive maintenance and to protect the failure of these activity or function. The integrated vibration or stress monitoring system(EVAMOS : engine vibration analysis and monitoring system) in marine diesel engine, its accessories and hull structure have been developed by the dynamics laboratory of Mokpo Maritime University during last 3 years. This paper introduces the design conception and ability of commercial software EVAMOS with field data on several actual tests.

Experimental Study for Torsional Vibration Monitoring System Development of Diesel Engine (디젤엔진의 비틀림진동 모니터링 시스템 개발을 위한 실험적인 연구)

  • 이돈출;김상환;장석기
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2001.11b
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    • pp.640-646
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    • 2001
  • The torsional vibration monitoring system(TVM) for large diesel engines was developed and applied by manufacturers of torsional vibration damper, flexible coupling and diesel engine since 1990s. And demands of TVM have been steadily increased to operate safely engine and to extend maintenance interval of damper and flexible coupling. In this paper, the experimental methods and algorithms of TVM development which used the existing PC, turning wheel and speed sensors in ship are introduced.

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Formation Mechanism Analysis and Detection of Charged Particles in an Aero-engine Gas Path

  • Wen, Zhenhua;Hou, Junxing;Jiang, ZhiQiang
    • International Journal of Aeronautical and Space Sciences
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    • v.16 no.2
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    • pp.247-253
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    • 2015
  • The components of an aero-engine gas path cannot be monitored in a timely way due to a lack of real-time monitoring technologies. As an attempt to address this problem, we have conducted research on a condition monitoring technology based on the charging characteristics of particles in an aero-engine gas path, and emphatically analyze the formation of particles in an aero-engine gas path, the charging mechanism of carbon particles and the factors that influence the charge quantity and polarity. The verification experiments are performed on the simulated experiment platform and a turbo-shaft engine test bench. The results show the carbon particles' carry charge, and an obvious change in the total electrostatic charge level in the aero-engine gas path due to the increased carbon particles produced by burning or abnormal metal particles; the charge number is related to the size of particles, and the bigger carbon particles carry a negative charge and metal particles carry a positive charge; the change in engine power can lead to an obvious change in the level of electrostatic charge in the gas path, and the change in electrostatic charge results from the extra carbon particles formed in the rich-oil burning process. The research provides a reference for establishing the baseline of electrostatic charge while the engine runs on different power. The study also demonstrates the validity of the electrostatic monitoring technology and establishes a base for developing the application of electrostatic monitoring technology in aero-engines.

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

  • Kong, C.D.;Kho, S.H.;Ki, J.Y.;Kho, H.Y.;Oh, S.H.;Kim, J.H.
    • Proceedings of the Korean Society of Propulsion Engineers Conference
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    • 2007.11a
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    • pp.345-349
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    • 2007
  • In this study a fuzzy trend monitoring method for detecting the engine mechanical faults was proposed through analyzing performance trends of measurement data. The trend monitoring is an engine conditioning method which can find engine faults by monitoring important measuring parameters such as fuel flow, exhaust gas temperatures, rotational speeds, vibration. etc. Using engine condition data set as a input which generated by linear regression analysis of real engine instrument data, an application of fuzzy logic in diagnostics estimate a cause of fault in each components.

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