Pattern‐based prognostic methodology for condition‐based maintenance using selected and weighted survival curves
This paper proposes a pattern‐based prognostic methodology that combines logical
analysis of data (LAD) as an event‐driven diagnostic technique, and Kaplan–Meier (KM) …
analysis of data (LAD) as an event‐driven diagnostic technique, and Kaplan–Meier (KM) …
Health index synthetization and remaining useful life estimation for turbofan engines based on run-to-failure datasets
J Shi, Y Li, G WAnG, X Li - Eksploatacja i Niezawodność, 2016 - yadda.icm.edu.pl
Turbofan engines will gradually degrade until failure occurs or life ends if without
maintenance. Reliable degradation assessment and remaining useful life (RUL) estimation …
maintenance. Reliable degradation assessment and remaining useful life (RUL) estimation …
Remaining useful life prognostics using pattern-based machine learning
This paper presents a prognostic methodology that can be implemented in a condition-
based maintenance (CBM) program. The methodology estimates the remaining useful life …
based maintenance (CBM) program. The methodology estimates the remaining useful life …
[PDF][PDF] Development of Equipment Failure Prognostics Model Based on Logical Analysis of Data (LAD).
A Ghasemi, S Esmaeili, S Yacout - Engineering Letters, 2013 - engineeringletters.com
This paper develops an equipment failure prognostics model, in the context of Condition
Based Maintenance (CBM), in order to predict the equipment's chance of survival, using …
Based Maintenance (CBM), in order to predict the equipment's chance of survival, using …
Reducing dimensionality of multi-regime data for failure prognostics
O Bektas, A Alfudail, JA Jones - Journal of Failure Analysis and Prevention, 2017 - Springer
Over the last decade, the prognostics and health management literature has introduced
many conceptual frameworks for remaining useful life predictions. However, estimating the …
many conceptual frameworks for remaining useful life predictions. However, estimating the …
Identifying suitable degradation parameters for individual-based prognostics
The ultimate goal of most prognostic systems is accurate prediction of the remaining useful
life of individual systems or components based on their use and performance. Traditionally …
life of individual systems or components based on their use and performance. Traditionally …
Estimating remaining useful life of turbofan engine using data-level fusion and feature-level fusion
S Ghorbani, K Salahshoor - Journal of Failure Analysis and Prevention, 2020 - Springer
Degradation of systems is a natural and inevitable process which widely happens in
industries. Therefore, prognostics is used to prevent unexpected failures of complex …
industries. Therefore, prognostics is used to prevent unexpected failures of complex …
Merging data sources to predict remaining useful life–an automated method to identify prognostic parameters
JB Coble - 2010 - trace.tennessee.edu
The ultimate goal of most prognostic systems is accurate prediction of the remaining useful
life (RUL) of individual systems or components based on their use and performance. This …
life (RUL) of individual systems or components based on their use and performance. This …
A metric for assessing and optimizing data-driven prognostic algorithms for predictive maintenance
Abstract Prognostic Health Management aims to predict the Remaining Useful Life (RUL) of
degrading components/systems utilizing monitoring data. These RUL predictions form the …
degrading components/systems utilizing monitoring data. These RUL predictions form the …
Remaining useful life prognostics based on stochastic degradation modeling: turbofan engine as case study
Monitoring the system's health status by utilizing multiple sensors concurrently and fusion of
their information will be effective for assessing the system's degradation process. Due to the …
their information will be effective for assessing the system's degradation process. Due to the …
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