PHM Digital Hierarchy of Needs
نویسندگان
چکیده
In today’s modern world, with the abundance of digital data, data science is identified as a rigorous discipline and machine learning (ML) techniques are commonly used. The Prognostics & Health Management (PHM) field can successfully be executed utilizing foundational approach where hierarchy needs established for successful implementation PHM on large-scale system. This paper rationalizes it applies to PHM, explains how each concept essential, builds upon base-level concepts through analysis implementation.
 First, this expounds integration from lower-level components system level critical success PHM-enabled Systems. Once established, arguments will presented mapping appropriate fault corresponding purpose correlating failures data. Subsequently, case using real conduct Fault Detection, Isolation, simple prognostics analyses. Advanced analyses then conducted intent predictive maintenance analysis. Lastly, an argument answering need implement real-time activities once complex validated verified.
 seen graphically in figure below. Data foundation pyramid, supporting identification parametric followed by Simple Prognostics. top tiers pyramid integrate such ML, implementation.
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ژورنال
عنوان ژورنال: Proceedings of the Annual Conference of the Prognostics and Health Management Society
سال: 2022
ISSN: ['2325-0178']
DOI: https://doi.org/10.36001/phmconf.2022.v14i1.3211