Review of standards and systems for predictive maintenance

Review of standards and systems for predictive maintenance

Authors

  • Stefan Panov University of Chemical Technology and Metallurgy, 8 Kl. Ohridski, 1756 Sofia, Bulgaria
  • Anton Nikolov University of Chemical Technology and Metallurgy, 8 Kl. Ohridski, 1756 Sofia, Bulgaria
  • Svetlana Panova University of Chemical Technology and Metallurgy, 8 Kl. Ohridski, 1756 Sofia, Bulgaria

DOI:

https://doi.org/10.59957/see.v6.i1.2020.1

Abstract

This paper aimed to the analysis of the systems for predictive maintenance. It discusses the methods for maintenance of the industrial equipment and facilities, as well as the requirements and standards set for the predictive maintenance software. It compares the capabilities of the most popular non- commercial and commercial software systems and platforms for predictive maintenance as OSA-CBR, PHM, MIMOSA, PLM, CMMS, etc.

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Published

2021-12-21

Issue

Vol. 6 No. 1 (2021): Volume 6, Issue 1

Section

Engeneering

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.