Machinery health prognostics: A systematic review from data acquisition to RUL prediction

Y Lei, N Li, L Guo, N Li, T Yan, J Lin - Mechanical systems and signal …, 2018 - Elsevier
Machinery prognostics is one of the major tasks in condition based maintenance (CBM),
which aims to predict the remaining useful life (RUL) of machinery based on condition …

[HTML][HTML] Advances in Integrated System Health Management for mission-essential and safety-critical aerospace applications

K Ranasinghe, R Sabatini, A Gardi, S Bijjahalli… - Progress in Aerospace …, 2022 - Elsevier
Abstract Integrated System Health Management (ISHM) is a promising technology that fuses
sensor data and historical state-of-health information of components and subsystems to …

[HTML][HTML] Relation between prognostics predictor evaluation metrics and local interpretability SHAP values

ML Baptista, K Goebel, EMP Henriques - Artificial Intelligence, 2022 - Elsevier
Maintenance decisions in domains such as aeronautics are becoming increasingly
dependent on being able to predict the failure of components and systems. When data …

A review of machine learning methods applied to structural dynamics and vibroacoustic

BZ Cunha, C Droz, AM Zine, S Foulard… - Mechanical Systems and …, 2023 - Elsevier
Abstract The use of Machine Learning (ML) has rapidly spread across several fields of
applied sciences, having encountered many applications in Structural Dynamics and …

A similarity-based prognostics approach for remaining useful life estimation of engineered systems

T Wang, J Yu, D Siegel, J Lee - 2008 international conference …, 2008 - ieeexplore.ieee.org
This paper presents a similarity-based approach for estimating the Remaining Useful Life
(RUL) in prognostics. The approach is especially suitable for situations in which abundant …

Metrics for offline evaluation of prognostic performance

A Saxena, J Celaya, B Saha, S Saha… - International Journal of …, 2010 - books.google.com
Prognostic performance evaluation has gained significant attention in the past few years.*
Currently, prognostics concepts lack standard definitions and suffer from ambiguous and …

State of health prediction of lithium-ion batteries: Multiscale logic regression and Gaussian process regression ensemble

J Yu - Reliability Engineering & System Safety, 2018 - Elsevier
State of health (SOH) prediction plays a vital role in battery health prognostics. It is important
to estimate the capacity of Lithium-ion battery for future cycle running. In this paper, a novel …

A review on prognostics and health monitoring of proton exchange membrane fuel cell

T Sutharssan, D Montalvao, YK Chen, WC Wang… - … and Sustainable Energy …, 2017 - Elsevier
Fuel cell technology can be traced back to 1839 when British scientist Sir William Grove
discovered that it was possible to generate electricity by the reaction between hydrogen and …

Capacity estimation of batteries: Influence of training dataset size and diversity on data driven prognostic models

VM Nagulapati, H Lee, DW Jung, B Brigljevic… - Reliability Engineering & …, 2021 - Elsevier
Prognostics of batteries involve state estimation and remaining useful life (RUL) prediction.
Various data-driven approaches are being studied to achieve accurate RUL predictions and …

Prognostics: a literature review

HM Elattar, HK Elminir, AM Riad - Complex & Intelligent Systems, 2016 - Springer
Integrated systems health management (ISHM) is an enabling technology used to preserve
safe and reliable operation of complex engineering systems. It also helps in reducing …