ChatGPT-like large-scale foundation models for prognostics and health management: A survey and roadmaps

YF Li, H Wang, M Sun - Reliability Engineering & System Safety, 2023 - Elsevier
PHM technology is vital in industrial production and maintenance, identifying and predicting
potential equipment failures and damages. This enables proactive maintenance measures …

Prognostics and health management of industrial assets: Current progress and road ahead

L Biggio, I Kastanis - Frontiers in Artificial Intelligence, 2020 - frontiersin.org
Prognostic and Health Management (PHM) systems are some of the main protagonists of
the Industry 4.0 revolution. Efficiently detecting whether an industrial component has …

Artificial intelligence in prognostics and health management of engineering systems

S Ochella, M Shafiee, F Dinmohammadi - Engineering Applications of …, 2022 - Elsevier
Prognostics and health management (PHM) has become a crucial aspect of the
management of engineering systems and structures, where sensor hardware and decision …

Prognostics and health management: A review from the perspectives of design, development and decision

Y Hu, X Miao, Y Si, E Pan, E Zio - Reliability Engineering & System Safety, 2022 - Elsevier
Prognostics and health management (PHM) is an enabling technology used to maintain the
reliable, efficient, economic and safe operation of engineering equipment, systems and …

Challenges and opportunities of AI-enabled monitoring, diagnosis & prognosis: A review

Z Zhao, J Wu, T Li, C Sun, R Yan, X Chen - Chinese Journal of Mechanical …, 2021 - Springer
Abstract Prognostics and Health Management (PHM), including monitoring, diagnosis,
prognosis, and health management, occupies an increasingly important position in reducing …

Prognostics and health management: A review on data driven approaches

KL Tsui, N Chen, Q Zhou, Y Hai… - … Problems in Engineering, 2015 - Wiley Online Library
Prognostics and health management (PHM) is a framework that offers comprehensive yet
individualized solutions for managing system health. In recent years, PHM has emerged as …

Deep learning for prognostics and health management: State of the art, challenges, and opportunities

B Rezaeianjouybari, Y Shang - Measurement, 2020 - Elsevier
Improving the reliability of engineered systems is a crucial problem in many applications in
various engineering fields, such as aerospace, nuclear energy, and water declination …

Fusing physics-based and deep learning models for prognostics

MA Chao, C Kulkarni, K Goebel, O Fink - Reliability Engineering & System …, 2022 - Elsevier
Physics-based and data-driven models for remaining useful lifetime (RUL) prediction
typically suffer from two major challenges that limit their applicability to complex real-world …

On the soundness of xai in prognostics and health management (phm)

D Solís-Martín, J Galán-Páez, J Borrego-Díaz - Information, 2023 - mdpi.com
The aim of predictive maintenance, within the field of prognostics and health management
(PHM), is to identify and anticipate potential issues in the equipment before these become …

A machine-learning based data-oriented pipeline for prognosis and health management systems

MLH Souza, CA da Costa, G de Oliveira Ramos - Computers in Industry, 2023 - Elsevier
The search for effective asset utilization has been constant, especially in industries with
evolving mechanization. In this context, maintenance management gains visibility because it …