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W. Kim, J. Chai, I. Kim, Development of a majority vote decision module for a self-diagnostic monitoring system for an air-operated valve system, Nucl. Eng. Technology 47 (2015) 624-632. |
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J. Coble, P. Ramuhalli, L. Bond, J. Wesley Hines, B. Upadhyaya, A review of prognostics and health management applications in nuclear power plants, Int. J. Prognostics Health Manag. (2015) 1-22, 016. |
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L.J. Bond, D.B. Jarrell, T.M. Koehler, R.J. Meador, D.R. Sisk, D.D. Hatley, K.S. Watkins, J. Chai, W. Kim, NERI Final Project Report: On-Line Intelligent Self-Diagnostic Monitoring System for Next Generation Nuclear Power Plants. PNNL-14304, Pacific Northwest National Laboratory, Richland, WA, 2003. |
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L.J. Bond, P. Ramuhalli, M.S. Tawfik, N. Lybeck, Prognostics and Life beyond 60Years for Nuclear Power Plants, IEEE International Conference on Prognostics and Health Management, Denver, USA, 2011. Jun.20-23. |
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D. Jarrell, D. Sisk, L. Bond, Prognostics and conditioned-based maintenance: a new approach to precursive metrics, Nucl. Technol. 145 (2004) 275-286. |
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R. Meyer, L. Bond, P. Ramuhalli, Online condition monitoring to enable extended operation of nuclear power plants, Int. J. Nuc. Safety Sim. 3 (2012)13-50. |
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W. Kim, J. Chai, H. Choi, Study on the self-diagnostic monitoring system for an air-operated valve : algorithm for diagnosing defects, J. Kor. Nuc. Soc. 36(2004) 219-228. |
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J. Chai, Y. Kim, W. Kim, H. Cho, Study on the self-diagnostic monitoring system for an air-operated valve : development of a fault library, J. Kor. Nuc. Soc. 36(2004) 210-218. |
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A. Mosallam, Remaining Useful Life Estimation of Critical Components Based on Bayesian Approaches. Materials, Universite de Franche-Comte, 2014. English. NNT : 2014BESA2069. tel-01412179. |
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T. Li, S. Wang, J. Shi, Z. Ma, An adaptive-order particle filter for remaining useful life prediction of aviation piston pumps, Chin. J. Aeronaut. 31 (2018)941-948. |
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P. Ramuhalli, S. Roy, J. Chai, Online monitoring and prognostics for passive components in nuclear power plants, Nucl. Sci. Eng.: J. Amer. Nuc. Soc. 182(2016) 228-242, https://doi.org/10.13182/NSE14-127. |
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J. Lee, J. Jung, J. Chai, J. Lee, Mathematical modeling of reciprocating pump, J. Mech. Sci. Technol. 29 (2015) 3141-3151. www.springerlink.com/content/1738-494x(Print)/1976-3824(Online) DOI 10.1007/s12206-015-0713-x. |
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J. Sun, H. Li, B. Xu, Prognostic for hydraulic pump based upon DCT-composite spectrum and the modified echo state network, SpringerPlus 5(2016), 1293, DOI 10.1186/s40064-016-2933-7. |
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P. Baraldi, G. Bonfanti, E. Zio, Differential evolution-based multi-objective optimization for the definition of a health indicator for fault diagnostics and prognostics, Mech. Syst. Signal Process. 102 (2018) 382-400. |
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15 |
Using Two-Class Classifiers for Multiclass Classification  |
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T. Li, C. Zhang, S. Zhu, Empirical studies on multi-label classification, in: IEEE International Conference on Tools with Artificial Intelligence, Arlington, USA, Nov. 13-15, 2006. |
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17 |
Bertolini Pumps. http://www.bertolinipumps.com/. |
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18 |
Piezoelectric Charge Accelerometer Types 4393 and 4393-V. https://www. bksv.com/media/doc/Bp2043.pdf. |
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19 |
E50S Series, Encoder. https://www.autonicsonline.com/product/product&product_id¼3721. |
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20 |
CS229 - machine learning. https://see.stanford.edu/Course/CS229. |
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