A dynamic multi-scale Markov model based methodology for remaining life prediction

Author:

Yan Jihong,Guo Chaozhong,Wang Xing

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Computer Science Applications,Mechanical Engineering,Aerospace Engineering,Civil and Structural Engineering,Signal Processing,Control and Systems Engineering

Reference29 articles.

1. A prognostic algorithm for machine performance assessment and its application;Yan;Production Planning & Control,2004

2. Residual life predictions from vibration-based degradation signals: a neural network approach;Gebraeel;IEEE Transactions on Industrial Electronics,2004

3. F. Camci, Process monitoring, diagnostics and prognostics using support vector machines and Hidden Markov Model, Ph.D. Thesis, Department of Industry Engineering, Wayne State University, Detroit, Michigan, May. (2005).

4. Residual life predictions for ball bearings based on self-organizing map and back propagation neural network methods;Huang;Mechanical System and Signal Processing,2007

5. Fatigue life prediction using fracture mechanics methods;Ghidini;Engineering Fracture Mechanics,2009

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