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Future Work

Data-driven prognostics is a wide-open field that will likely play an important role in Prognostics Health Management. Some of the constraints are due to the need to have training data, and the lack of compelling validation methods. Almost all the issues that prognostics in general face are also relevant for data-driven prognostics. However, some issues stand out. The issues we encountered in our work motivate this future work:

  • Investigate methods for dealing with sparse time series data sets
  • Investigate fusion of prognostic estimates
    • Potential to improve
      • prediction accuracy
      • containment of uncertainty
    • Investigate estimator “diversity”
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