PrognosEase

A data generator for health deterioration prognosis

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PrognosEase is software that provides an easier way to produce different types of run-to-failure data mimicking real-world conditions to simplify prognostic studies in terms of data collection and machine learning modeling improvement.
The introductory paper to this software is:
T. Berghout and M. Benbouzid, “PrognosEase: A data generator for health deterioration prognosis,” SoftwareX, vol. 23, p. 101461, Jul. 2023, doi: 10.1016/j.softx.2023.101461.

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General Information

MATLAB Release Compatibility

  • Compatible with R2018b and later releases

Platform Compatibility

  • Windows
  • macOS
  • Linux
Version Published Release Notes Action
1.0.5

Added published paper references

1.0.4

Preprint is added

1.0.3

Logo of software

1.0.2

Some changes for matrix dimensions errors

1.0.1

fixing some errors in matrix dimensions;

1.0.0