Film Thickness Measurement Of Mechanical Seal Based On Cascaded Artificial Neural Network Recognition Model
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References
- .Sun Jianjun, Wei Long, Gu Boqing. The Development Course and The Research Trend of Mechanical Seal. Lubrication Engineering, Lubrication Engineering, Vol.4, 2004, pp.128-134.
- G. Astridge and M. D. Longfield. Capacitance measurement and oil film thickness in a large-radius disc and ring machine, Vol.182, No.14, 1967, pp.89-96.
- P. C. Chu and A. Cameron. Flow of electric current through lubricated contacts. ASLE Transactions, Vol.10, No.3, 1967, pp.226-234.
- Etsion,I. Experimental of the dynamic behavior of non-contacting coned-face mechanical seals. ASLE Transactions, Vol.27, No.3, 1984, pp.263-270.
- W. B. Anderson, J. Jarzynski and R. F. Salant. A condition monitor for liquid lubricated mechanical seals. Tribology Transacitions, Vol.44, No.3, 2001, pp.479-483.
- T. Reddyhoff, R.S. Dwyer-Joyce, and P. A new approach for the measurement of film thickness in liquid face seals. Tribology Transactions, Vol.51, No.2, 2008, pp.140-149.
- J. Miettinen and V. Siekkinen. Acoustic emission in monitoring sliding contact behaviour. Wear, Vol.183, No.2, 1995, pp.897-900.
- .Cai Yanping, Li Aihua, Wang Tao,et al. Based on The EMD - Wigner Ville - internal Combustion Engine Vibration Time-frequency Analysis. Journal of Vibration Engineering, Vol.10, No.4, 2010, pp.430-437.
- .Xu Dong. Ball Bearing Fatigue Residual Life Analysis and The Forecast Method Research. Wuhan, Doctor of Engineering thesis, National University of Defense Technology, China, 2011, pp.205.
- Shaojiang Dong and Tianhong Lou. Bearing degradation process prediction based on the PCA and optimized LS-SVM model. Measurement, Vol.46, No.9, 2013. pp.3143-3152.
- K.I. Kim, S. H. Park, and H. J. Kim. Kernel principal component analysis for texture classification. IEEE Signal Processing Letters, Vol.8, No.2, 2011, pp.39-41.
- Weilin Li, Pan Fu, Weiqing Cao. Study on Feature Selection and Identification Method of Toll Wear States Based on SVM. International Journal on Smart Sensing and Intelligent Systems, Vol.6, No.2, 2013, pp.448-465.
- S.C.Mukhopadhyay, Novel Planar Electromagnetic Sensors: Modeling and Performance Evaluation, Sensors 2005, 5, 546-579, ISSN 1424-8220 © 2005 by MDPI
http://www.mdpi.org/sensors , 2005. - G. S. Vijay, H.S. Kumar and N.S. Sriram et al. Evaluation of effectiveness of wavelet based denoising schemes using ANN and SVM for bearing condition classification. Computational Intelligence and Neuroscience, Vol.12, 2012, pp.46-51.
- S.C.Mukhopadhyay, “A Novel Planar Mesh Type Micro-electromagnetic Sensor: Part I - Model Formulation”, IEEE Sensors journal, Vol. 4, No. 3, pp. 301-307, June 2004.
- P. Sam Paul and A. S. Varadarajan. ANN assisted sensor fusion model to predict tool wear during hard turning with minimal fluid application. IJMMM, Vol.13. No.14, 2013, pp.398-413.
- S.C.Mukhopadhyay, “A Novel Planar Mesh Type Micro-electromagnetic Sensor: Part II – Estimation of System Properties”, IEEE Sensors journal, Vol. 4, No. 3, pp. 308-312, June 2004.
- Benny Karunakar and D. L. Datta. Prediction of defects in castings using back propagation neural networks. IJMIC, Vol.3, No.2, 2008, pp.140-147.
- S.C.Mukhopadhyay, “Quality inspection of electroplated materials using planar type micro-magnetic sensors with post processing from neural network model”, IEE Proceedings – Science, Measurement and Technology, Vol. 149, No. 4, pp. 165-171, July 2002.
- Zhao Peng. Study on the vibration fault diagnosis method of centrifugal and system implementation. Doctor of Engineering thesis, North China Electric Power University(Beijing), China, 2011, P68.
DOI: https://doi.org/10.21307/ijssis-2017-737 | Journal eISSN: 1178-5608
Language: English
Page range: 1870 - 1889
Submitted on: Aug 22, 2014
Accepted on: Nov 2, 2014
Published on: Dec 1, 2014
Published by: Professor Subhas Chandra Mukhopadhyay
In partnership with: Paradigm Publishing Services
Publication frequency: 1 times per year
Keywords:
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© 2014 Erqing Zhang, Pan Fu, Kesi Li, Xiaohui Li, Zhongrong Zhou, published by Professor Subhas Chandra Mukhopadhyay
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.