A narrative review of predictive maintenance methods that compares regression and classification prognostics but is compromised by citation integrity problems.
System-Level Predictive Maintenance: Review of Research Literature and Gap Analysis
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
abstract
This paper reviews current literature in the field of predictive maintenance from the system point of view. We differentiate the existing capabilities of condition estimation and failure risk forecasting as currently applied to simple components, from the capabilities needed to solve the same tasks for complex assets. System-level analysis faces more complex latent degradation states, it has to comprehensively account for active maintenance programs at each component level and consider coupling between different maintenance actions, while reflecting increased monetary and safety costs for system failures. As a result, methods that are effective for forecasting risk and informing maintenance decisions regarding individual components do not readily scale to provide reliable sub-system or system level insights. A novel holistic modeling approach is needed to incorporate available structural and physical knowledge and naturally handle the complexities of actively fielded and maintained assets.
citation-role summary
background 1
citation-polarity summary
fields
cs.LG 1years
2025 1verdicts
REJECT 1roles
background 1polarities
support 1representative citing papers
citing papers explorer
-
A Survey of Predictive Maintenance Methods: An Analysis of Prognostics via Classification and Regression
A narrative review of predictive maintenance methods that compares regression and classification prognostics but is compromised by citation integrity problems.