Prognostics of Machine Health Condition using an Improved ARIMA-based Prediction method

@article{Wu2007PrognosticsOM,
  title={Prognostics of Machine Health Condition using an Improved ARIMA-based Prediction method},
  author={Wei Wu and Jingtao Hu and Jilong Zhang},
  journal={2007 2nd IEEE Conference on Industrial Electronics and Applications},
  year={2007},
  pages={1062-1067}
}
Prognostics is very useful to predict the degradation trend of machinery and to provide an alarm before a fault reaches critical levels. This paper proposes an ARIMA approach to predict the future machine status with accuracy improvement by an improved forecasting strategy and an automatic prediction algorithm. Improved forecasting strategy increases the times of model building and creates datasets for modeling dynamically to avoid using the previous values predicted to forecast and generate… CONTINUE READING
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