A neural network approach for remaining useful life prediction utilizing both failure and suspension histories

作者: Zhigang Tian , Lorna Wong , Nima Safaei

DOI: 10.1016/J.YMSSP.2009.11.005

关键词: Reliability engineeringOperations researchSuspension (motorcycle)Artificial neural networkMean squared errorField (computer science)Process (computing)Signal processingMonitoring dataEngineeringCondition monitoring

摘要: … accurate equipment remaining useful life prediction. … useful information revealing the degradation of equipment, and will help to achieve more accurate remaining useful life prediction if …

参考文章(23)
Biqing Wu, Michael Roemer, Frank Lewis, George Vachtsevanos, Andrew Hess, Intelligent Fault Diagnosis and Prognosis for Engineering Systems ,(2006)
S. Marble, B.P. Morton, Predicting the remaining life of propulsion system bearings ieee aerospace conference. pp. 1- 8 ,(2006) , 10.1109/AERO.2006.1656121
Andrew K.S. Jardine, Albert H.C. Tsang, Maintenance, Replacement, and Reliability: Theory and Applications ,(1973)
Zhigang Tian, An artificial neural network approach for remaining useful life prediction of equipments subject to condition monitoring international conference on reliability, maintainability and safety. pp. 143- 148 ,(2009) , 10.1109/ICRMS.2009.5270220
Peter M. Williams, Bayesian regularization and pruning using a Laplace prior Neural Computation. ,vol. 7, pp. 117- 143 ,(1995) , 10.1162/NECO.1995.7.1.117
D Lin, D Banjevic, A K S Jardine, Using principal components in a proportional hazards model with applications in condition-based maintenance Journal of the Operational Research Society. ,vol. 57, pp. 910- 919 ,(2006) , 10.1057/PALGRAVE.JORS.2602058
D. Banjevic, A. K. S. Jardine, Calculation of reliability function and remaining useful life for a Markov failure time process IMA Journal of Management Mathematics. ,vol. 17, pp. 115- 130 ,(2006) , 10.1093/IMAMAN/DPI029
C. James Li, Hyungdae Lee, Gear fatigue crack prognosis using embedded model, gear dynamic model and fracture mechanics Mechanical Systems and Signal Processing. ,vol. 19, pp. 836- 846 ,(2005) , 10.1016/J.YMSSP.2004.06.007
Zhigang Tian, Ming J. Zuo, Health condition prognostics of gears using a recurrent neural network approach reliability and maintainability symposium. pp. 460- 465 ,(2009) , 10.1109/RAMS.2009.4914720