MACHINE CONDITION PROGNOSTICS: THE STATE OF THE ART

Authors

  • Stenly Tangkuman

Abstract

Prognostics is an inherent component of condition-based maintenance. It can assess the current health
of a part and predict into the future the health of a part for a fixed time horizon or predict the time to
failure. Since this topic has gained popularity in machine learning, however, researchers who applied in
machine prognostics (or prognosis) are relatively rare.With the aim of synthesizing and providing the
information of these researches for researcher’s community, this paper attempts to summarize and classify
the recent published techniques in prognostics of rotating machinery. It reviews the papers upon the early
2012. Furthermore, it also discusses the opportunities as well as the challenges for conducting advance
research in the field of machine prognostics.
Keywords: Machine Fault, Condition Prognostics

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Published

2021-03-27

How to Cite

Tangkuman, S. (2021). MACHINE CONDITION PROGNOSTICS: THE STATE OF THE ART. Jurnal Tekno Mesin, 4(2). Retrieved from https://ejournal.unsrat.ac.id/v3/index.php/jtmu/article/view/33055

Issue

Vol. 4 No. 2 (2018)

Section

Articles

License

Pemegang hak cipta artikel pada Jurnal Tekno Mesin adalah penulis/author