Particle Filtering for Prognostics of a Newly Designed Product With a New Parameters Initialization Strategy Based on Reliability Test Data
暂无分享,去创建一个
[1] Shi Jianming,et al. An ensemble model for engineered systems prognostics combining health index synthesis approach and particle filtering , 2017 .
[2] Seungdeog Choi,et al. Auxiliary Particle Filtering-Based Estimation of Remaining Useful Life of IGBT , 2018, IEEE Transactions on Industrial Electronics.
[3] A. Doucet,et al. A Tutorial on Particle Filtering and Smoothing: Fifteen years later , 2008 .
[4] Nan Chen,et al. A state-space-based prognostics model for lithium-ion battery degradation , 2017, Reliab. Eng. Syst. Saf..
[5] Noureddine Zerhouni,et al. Particle filter-based prognostics: Review, discussion and perspectives , 2016 .
[6] Noureddine Zerhouni,et al. Prognostics of PEM fuel cell in a particle filtering framework , 2014 .
[7] Enrico Zio,et al. Ensemble neural network-based particle filtering for prognostics , 2013 .
[8] Yunxia Chen,et al. Propagation path and failure behavior analysis of cracked gears under different initial angles , 2018, Mechanical Systems and Signal Processing.
[9] Rui Kang,et al. Bayesian accelerated acceptance sampling plans for a lognormal lifetime distribution under Type-I censoring , 2018, Reliab. Eng. Syst. Saf..
[10] Rui Kang,et al. Using PoF models to predict system reliability considering failure collaboration , 2016 .
[11] Matti Rantatalo,et al. Particle filter-based prognostic approach for railway track geometry , 2017 .
[12] Ning Wang,et al. A General Accelerated Degradation Model Based on the Wiener Process , 2016, Materials.
[13] Enrico Zio,et al. A Model-Based Reliability Metric Considering Aleatory and Epistemic Uncertainty , 2017, IEEE Access.
[14] Dong Wang,et al. Prognostics of Lithium-ion batteries based on state space modeling with heterogeneous noise variances , 2017, Microelectron. Reliab..
[15] Kang Rui,et al. Reliability prediction of single-board computer based on physics of failure method , 2011, 2011 6th IEEE Conference on Industrial Electronics and Applications.
[16] Yunpeng Li,et al. Particle Filtering With Invertible Particle Flow , 2016, IEEE Transactions on Signal Processing.
[17] Belkacem Ould-Bouamama,et al. Particle filter based hybrid prognostics for health monitoring of uncertain systems in bond graph framework , 2016 .
[18] Mengying Zhang,et al. An ensemble model for engineered systems prognostics combining health index synthesis approach and particle filtering , 2017, Qual. Reliab. Eng. Int..
[19] Michael G. Pecht,et al. Predicting long-term lumen maintenance life of LED light sources using a particle filter-based prognostic approach , 2015, Expert Syst. Appl..
[20] G.J. Vachtsevanos,et al. A particle filtering-based framework for real-time fault diagnosis and failure prognosis in a turbine engine , 2007, 2007 Mediterranean Conference on Control & Automation.
[21] Enrico Zio,et al. Particle filtering prognostic estimation of the remaining useful life of nonlinear components , 2011, Reliab. Eng. Syst. Saf..
[22] Enrico Zio,et al. Particle Filter-Based Prognostics for an Electrolytic Capacitor Working in Variable Operating Conditions , 2016, IEEE Transactions on Power Electronics.
[23] Petar M. Djuric,et al. Gaussian particle filtering , 2003, IEEE Trans. Signal Process..
[24] P. J. García Nieto,et al. A Hybrid PCA-CART-MARS-Based Prognostic Approach of the Remaining Useful Life for Aircraft Engines , 2015, Sensors.
[25] Enrico Zio,et al. Investigation of uncertainty treatment capability of model-based and data-driven prognostic methods using simulated data , 2013, Reliab. Eng. Syst. Saf..
[26] Enrico Zio,et al. A particle filtering and kernel smoothing-based approach for new design component prognostics , 2015, Reliab. Eng. Syst. Saf..
[27] Yi Wu,et al. Fault prognostic of electronics based on optimal multi-order particle filter , 2016, Microelectron. Reliab..
[28] Xiaohong Su,et al. Interacting multiple model particle filter for prognostics of lithium-ion batteries , 2017, Microelectron. Reliab..