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Results 1 to 25 of 249

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Analytical approach to wear rate determination for internal combustion engine condition monitoring based on oil analysisMACIAN, V; TORMOS, B; OLMEDA, P et al.Tribology international. 2003, Vol 36, Num 10, pp 771-776, issn 0301-679X, 6 p.Article

Diagnosis of continuous rotor-stator rubbing in large scale turbine units using acoustic emissionsHALL, L. D.Ultrasonics. 2004, Vol 41, Num 9, pp 765-773, issn 0041-624X, 9 p.Article

Fault detection and diagnosis within a wind turbine mechanical braking system using condition monitoringENTEZAMI, M; HILLMANSEN, S; WESTON, P et al.Renewable energy. 2012, Vol 47, pp 175-182, issn 0960-1481, 8 p.Article

Simulation and analysis of vibration signals generated by rolling element bearing with defectsKIRAL, Zeki; KARAGÜLLE, Hira.Tribology international. 2003, Vol 36, Num 9, pp 667-678, issn 0301-679X, 12 p.Article

Condition monitoring of wind turbines: Techniques and methodsMARQUEZ, Fausto Pedro García; TOBIAS, Andrew Mark; PEREZ, Jesus María Pinar et al.Renewable energy. 2012, Vol 46, pp 169-178, issn 0960-1481, 10 p.Article

The prediction and diagnosis of wind turbine faultsKUSIAK, Andrew; WENYAN LI.Renewable energy. 2011, Vol 36, Num 1, pp 16-23, issn 0960-1481, 8 p.Article

Electrostatic charge monitoring of unlubricated sliding wear of a bearing steelMORRIS, S; WOOD, R. J. K; HARVEY, T. J et al.Wear. 2003, Vol 255, Num 1, pp 430-443, issn 0043-1648, 14 p.Conference Paper

Condition monitoring approaches applied to a polychloroprene cable jacketing materialGILLEN, Kenneth T; ASSINK, Roger A; BERNSTEIN, Robert et al.Polymer degradation and stability. 2004, Vol 84, Num 3, pp 419-431, issn 0141-3910, 13 p.Article

Analysis of engine vibration and design of an applicable diagnosing approachZUNMIN GENG; JIN CHEN; HULL, J. Barry et al.International journal of mechanical sciences. 2003, Vol 45, Num 8, pp 1391-1410, issn 0020-7403, 20 p.Article

Wear assessment employing remote condition monitoring: a case studyGARCIA MARQUEZ, Fausto Pedro; SCHMID, Felix; CONDE COLLADO, Javier et al.Wear. 2003, Vol 255, Num 2, pp 1209-1220, issn 0043-1648, 12 p.Conference Paper

Condition monitoring strategy : a risk based interval selectionMURTY, A. S. R; NAIKAN, V. N. A.International journal of production research. 1996, Vol 34, Num 1, pp 285-296, issn 0020-7543Article

Modelling condition monitoring intervals: A hybrid of simulation and analytical approachesWANG, W.The Journal of the Operational Research Society. 2003, Vol 54, Num 3, pp 273-282, issn 0160-5682, 10 p.Article

An autonomous low-Cost infrared system for the on-line monitoring of manufacturing processes using novelty detectionAL-HABAIBEH, Amin; PARKIN, Robert.International journal, advanced manufacturing technology. 2003, Vol 22, Num 3-4, pp 249-258, issn 0268-3768, 10 p.Article

Development of a 20 kW wind turbine simulator with similarities to a 3 MW wind turbineOH, Ki-Yong; LEE, Jae-Kyung; BANG, Hyung-Joon et al.Renewable energy. 2014, Vol 62, pp 379-387, issn 0960-1481, 9 p.Article

Wind turbine condition monitoring by the approach of SCADA data analysisWENXIAN YANG; COURT, Richard; JIESHENG JIANG et al.Renewable energy. 2013, Vol 53, pp 365-376, issn 0960-1481, 12 p.Article

Componential coding in the condition monitoring of electrical machines. Part 2: application to a conventional machine and a novel machinePAYNE, B. S; GU, F; WEBBER, C. J. S et al.Proceedings of the Institution of Mechanical Engineers. Part C, Journal of mechanical engineering science. 2003, Vol 217, Num 8, pp 901-915, issn 0954-4062, 15 p.Article

A Bayesian online inferential model for evaluation of analyzer performanceWILLIS, A. J.Journal of chemometrics. 2005, Vol 19, Num 2, pp 90-96, issn 0886-9383, 7 p.Article

Magnetoelastic Viscosity Sensor for On-Line Status Assessment of Lubricant OilsBRAVO-IMAZ, I; GARCIA-ARRIBAS, A; GORRITXATEGI, E et al.IEEE transactions on magnetics. 2013, Vol 49, Num 1, pp 113-116, issn 0018-9464, 4 p., 1Conference Paper

Classification of autoregressive spectral estimated signal patterns using an adaptive resonance theory neural networkCHANG-CHING, D. L; HSU-PIN BEN WANG.Computers in industry. 1993, Vol 22, Num 2, pp 143-157, issn 0166-3615Article

A component map tuning method for performance prediction and diagnostics of gas turbine compressorsTSOUTSANIS, Elias; MESKIN, Nader; BENAMMAR, Mohieddine et al.Applied energy. 2014, Vol 135, pp 572-585, issn 0306-2619, 14 p.Article

A machine vision system for wear monitoring and breakage detection of single-point cutting toolsOGUAMANAM, D. C. D; RAAFAT, H; TABOUN, S. M et al.Computers & industrial engineering. 1994, Vol 26, Num 3, pp 575-598, issn 0360-8352Article

Handling sensed data in hostile environmentsBEN-ZWI, Oren; PINTER, Shlomit S.Lecture notes in computer science. 2005, pp 433-442, issn 0302-9743, isbn 3-540-30856-3, 1Vol, 10 p.Conference Paper

Rolling bearing diagnosing method based on Empirical Mode Decomposition of machine vibration signal : Condition Monitoring of Machinery in Non-Stationary OperationsDYBAŁA, Jacek; ZIMROZ, Radosław.Applied acoustics. 2014, Vol 77, pp 195-203, issn 0003-682X, 9 p.Article

An adaptive functional regression-based prognostic model for applications with missing dataXIAOLEI FANG; RENSHENG ZHOU; GEBRAEEL, Nagi et al.Reliability engineering & systems safety. 2015, Vol 133, pp 266-274, issn 0951-8320, 9 p.Article

An Agent-Based Implementation of Hidden Markov Models for Gas Turbine Condition MonitoringKENYON, Andrew D; CATTERSON, Victoria M; McARTHUR, Stephen D. J et al.IEEE transactions on systems, man, and cybernetics. Systems (Print). 2014, Vol 44, Num 2, pp 186-195, issn 2168-2216, 10 p.Article

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