Particle filter-based prognostics: Review, discussion and perspectives

M Jouin, R Gouriveau, D Hissel, MC Péra… - Mechanical Systems and …, 2016 - Elsevier
Particle filters are of great concern in a large variety of engineering fields such as robotics,
statistics or automatics. Recently, it has developed among Prognostics and Health …

Machine learning and digital twin driven diagnostics and prognostics of light‐emitting diodes

MS Ibrahim, J Fan, WKC Yung… - Laser & Photonics …, 2020 - Wiley Online Library
Light‐emitting diodes (LEDs) are among the key innovations that have revolutionized the
lighting industry, due to their versatility in applications, higher reliability, longer lifetime, and …

IoT-based prognostics and systems health management for industrial applications

D Kwon, MR Hodkiewicz, J Fan, T Shibutani… - IEEE …, 2016 - ieeexplore.ieee.org
Prognostics and systems health management (PHM) is an enabling discipline that uses
sensors to assess the health of systems, diagnoses anomalous behavior, and predicts the …

Prognostics and health management of electronics

M Pecht - Encyclopedia of structural health monitoring, 2009 - Wiley Online Library
Reliability is the ability of a product or system to perform as intended (ie, without failure and
within specified performance limits) for a specified time, in its life‐cycle environment …

[图书][B] From prognostics and health systems management to predictive maintenance 1: Monitoring and prognostics

R Gouriveau, K Medjaher, N Zerhouni - 2016 - books.google.com
This book addresses the steps needed to monitor health assessment systems and the
anticipation of their failures: choice and location of sensors, data acquisition and processing …

Smart Maintenance Decision Support Systems (SMDSS) based on corporate big data analytics

D Bumblauskas, D Gemmill, A Igou… - Expert systems with …, 2017 - Elsevier
The purpose of this article is to outline the architectural design and the conceptual
framework for a Smart Maintenance Decision Support System (SMDSS) based on corporate …

A hybrid prognostic method for system degradation based on particle filter and relevance vector machine

Y Chang, H Fang - Reliability Engineering & System Safety, 2019 - Elsevier
Prognostics of the remaining useful life has become a critical technique to ensure the
reliability and safety of system, however, due to the uncertainty of system degradation, the …

Machine learning Fundamentals

Y Yan - Machine Learning in Chemical Safety and Health …, 2022 - Wiley Online Library
Machine learning covers a large group of computational methods built upon past data and
experience. This chapter serves as a gentle introduction to machine learning fundamentals …

A review of prognostic techniques for high-power white LEDs

B Sun, X Jiang, KC Yung, J Fan… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
High-power white light-emitting diodes (LEDs) have attracted much attention due to their
versatility in a variety of applications and growing demand in markets such as general …

[HTML][HTML] Application of machine learning algorithms in prognostics and health monitoring of electronic systems: A review

D Bhat, S Muench, M Roellig - e-Prime-Advances in Electrical Engineering …, 2023 - Elsevier
In the modern age of digitalization, electronics are fundamental to any engineering system.
With the current strong focus on the Internet of Things (IoT), autonomous vehicles and …