A Two-Stage Model of State Prognosis Based on Vibration Monitoring Information
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Li Ma | Y. Wang | J. Y. Qiao | Y. H. Dong
[1] David He,et al. Hidden semi-Markov model-based methodology for multi-sensor equipment health diagnosis and prognosis , 2007, Eur. J. Oper. Res..
[2] Michael J. Roemer,et al. Predicting remaining life by fusing the physics of failure modeling with diagnostics , 2004 .
[3] Viliam Makis,et al. Optimal component replacement decisions using vibration monitoring and the proportional-hazards model , 2002, J. Oper. Res. Soc..
[4] P. Baruah,et al. HMMs for diagnostics and prognostics in machining processes , 2005 .
[5] Ratna Babu Chinnam,et al. A neuro-fuzzy approach for estimating mean residual life in condition-based maintenance systems , 2004 .
[6] Sze-jung Wu,et al. A Neural Network Integrated Decision Support System for Condition-Based Optimal Predictive Maintenance Policy , 2007, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.
[7] Daming Lin,et al. An approach to signal processing and condition-based maintenance for gearboxes subject to tooth failure , 2004 .
[8] A. H. Christer,et al. Towards a general condition based maintenance model for a stochastic dynamic system , 2000, J. Oper. Res. Soc..
[9] Wenbin Wang,et al. A model to predict the residual life of rolling element bearings given monitored condition information to date , 2002 .
[10] C. Byington,et al. DYNAMIC MODELING AND WEAR-BASED REMAINING USEFUL LIFE PREDICTION OF HIGH POWER CLUTCH SYSTEMS , 2005 .