Pattern‐based prognostic methodology for condition‐based maintenance using selected and weighted survival curves

A Ragab, S Yacout, MS Ouali… - Quality and Reliability …, 2017 - Wiley Online Library
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) …

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 …

Remaining useful life prognostics using pattern-based machine learning

A Ragab, S Yacout, MS Ouali - 2016 Annual Reliability and …, 2016 - ieeexplore.ieee.org
This paper presents a prognostic methodology that can be implemented in a condition-
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 …

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 …

Identifying suitable degradation parameters for individual-based prognostics

J Coble, JW Hines - Diagnostics and Prognostics of Engineering …, 2013 - igi-global.com
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 …

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 …

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 …

A metric for assessing and optimizing data-driven prognostic algorithms for predictive maintenance

A Kamariotis, K Tatsis, E Chatzi, K Goebel… - Reliability Engineering & …, 2024 - Elsevier
Abstract Prognostic Health Management aims to predict the Remaining Useful Life (RUL) of
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

Z Esfahani, K Salahshoor, AH Mazinan - Journal of the Brazilian Society of …, 2022 - Springer
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 …