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Degradation Modeling and Residual Life Prediction Based on Grey Predcition Model

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Residual Life Prediction and Optimal Maintenance Decision for a Piece of Equipment

Abstract

With the development of system science and control science, the object that under study is more and more complex.

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References

  1. Deng JL (1982) Control problems of grey systems. Syst Control Lett 82(5):288–294

    MathSciNet  MATH  Google Scholar 

  2. Deng J (1986) The foundation of grey theory. The Publishing House of Huazhong University of Science and Technology, Wuhan

    Google Scholar 

  3. Liu S, Dang Y, Fang Z et al (2004) Grey system theory with application. Science Press, Beijing

    Google Scholar 

  4. Huang Y, Changhua Hu (2005) Optimized adaptive grey predcition model and its application in missile fault prediction. J Projectiles, Rockets, Missiles and Guidance 24(3):699–701

    Google Scholar 

  5. Kai Lu, Changhua Hu (2010) Application of a new GM (1, 1)-AR model in gyro drift tendency prediction. Electron Opt Control 17(3):88–92

    Google Scholar 

  6. Kai Lu, Changhua Hu (2009) Application of a new grey predcition model algorithm to the gyro drift tendency. Syst Simul Technol 5(3):176–181

    Google Scholar 

  7. Kai Lu, Liu G, Tian P (2009) Application of grey neural network in power short-term load prediction. North China Electr Power Technol 5:1–5

    Google Scholar 

  8. Kai Lu (2010) Performance degradation path modeling of inertial devices based on grey theory. Rocket Force University of Engineering, Xi’ an

    Google Scholar 

  9. Zhang D, Bi Y, Bi Y et al (2004) Power load prediction method base on serial grey neural network. Syst Eng Theory Pract 12:128–132

    Google Scholar 

  10. Huang Y, Changhua Hu (2006) Third-order grey neural network modeling and the application in missile fault prediction. Electron Opt Control 13(5):39–42

    Google Scholar 

  11. Zhou Z, Guo Ke, Chen L (2007) Grey neural network technology for time series data prediction. Knowl Jungle 1:128–129

    Google Scholar 

  12. Xie N, Liu S (2005) Discrete GM (1, 1) model and mechanism of grey predcition model. Syst Eng Theory Pract 1:93–98

    Google Scholar 

  13. Liu S, Deng J (2000) Application range of GM (1, 1) model. Syst Eng Theory Pract 5:121–124

    Google Scholar 

  14. Cheng M (2004) Approach exploration on improving the prediction accuracy of GM (1, 1) model. New Explor Theory 2:16–17

    Google Scholar 

  15. Ji P, Huang W, Xiangyong Hu (2001) A study on the properties of grey predcition model. Syst Eng Theory Pract 9:105–108

    Google Scholar 

  16. Zhang D, Jiang S, Shi K (2002) Theoretical defect of grey prediction formula and its improvement. Syst Eng Theory Pract 8:140–142

    Google Scholar 

  17. Cao J, Liu Y, Dai R (2007) Network traffic prediction based on error advanced grey model. Comput Eng Des 28(21):5144–5146

    Google Scholar 

  18. Liu W, Wang F, Liu Y (2007) Multivariate linear regression model based on multivariate grey predcition model. Sci Technol Eng 7(24):6603–6606

    Google Scholar 

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Hu, C., Fan, H., Wang, Z. (2022). Degradation Modeling and Residual Life Prediction Based on Grey Predcition Model. In: Residual Life Prediction and Optimal Maintenance Decision for a Piece of Equipment. Springer, Singapore. https://doi.org/10.1007/978-981-16-2267-0_10

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  • DOI: https://doi.org/10.1007/978-981-16-2267-0_10

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-16-2266-3

  • Online ISBN: 978-981-16-2267-0

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