| Autor: |
Hendrik Engbers, Simon Leohold, Michael Freitag |
| Rok vydání: |
2021 |
| Předmět: |
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| Zdroj: |
IFAC-PapersOnLine. 54:629-634 |
| ISSN: |
2405-8963 |
| DOI: |
10.1016/j.ifacol.2021.08.073 |
| Popis: |
Prognostic methods for predictive maintenance have been presented extensively in the literature. While this area’s continuing effort positively affects individual predictive maintenance solutions’ performance and capabilities, a method’s setup remains a big hurdle as the solution space is becoming more complex. The critical settings of a prognostic method are the selection of suitable modeling techniques used for behavior- and condition-modeling, as well as a forecast model for failure prediction. This paper presents a generalized topology of a prognostic method to ease the design of maintenance systems and allow for quicker individual method design and modification. After a broad literature review, the topology and its base components are presented, and an overview of the different kinds of models related to predictive maintenance applications is given. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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