A review on the application of deep learning in system health management
Given the advancements in modern technological capabilities, having an integrated health
management and diagnostic strategy becomes an important part of a system's operational …
management and diagnostic strategy becomes an important part of a system's operational …
Data-driven approaches for impending fault detection of industrial systems: a review
A Patil, G Soni, A Prakash - … Journal of System Assurance Engineering and …, 2024 - Springer
Industrial systems operating under harsh and stochastic conditions are vulnerable to
anomalies that degrade its performance and subsequently lead to unexpected breakdown …
anomalies that degrade its performance and subsequently lead to unexpected breakdown …
[PDF][PDF] 深度学习在机械设备故障预测与健康管理中的研究综述
沈保明， 陈保家， 赵春华， 陈法法， 肖文荣， 肖能齐 - 机床与液压, 2021 - qikan.cmes.org
随着机械装备不断朝高速化, 大型化, 智能化方向发展, 为了保障机械设备高效, 安全, 可靠运行,
故障预测与健康管理(PHM) 一直是工业领域研究的热点问题. 机械装备的工作环境恶劣 …
故障预测与健康管理(PHM) 一直是工业领域研究的热点问题. 机械装备的工作环境恶劣 …
Data interpretation framework integrating machine learning and pattern recognition for self-powered data-driven damage identification with harvested energy …
Data mining methods have been widely used for structural health monitoring (SHM) and
damage identification for analysis of continuous signals. Nonetheless, the applicability and …
damage identification for analysis of continuous signals. Nonetheless, the applicability and …
Artificial immune system for comprehensive and integrated aircraft abnormal conditions management
MG Perhinschi, H Moncayo - Advances in Computational Intelligence …, 2018 - arc.aiaa.org
Failures, malfunctions, and damage affecting aircraft subsystems, as well as general
environmental and dynamic upset conditions, have been consistently identified as the …
environmental and dynamic upset conditions, have been consistently identified as the …
Artificial Intelligence for Improved Health Management: Application, Uses, Opportunities, and Challenges-A Systematic Review
KMY Moafa, NFH Almohammadi… - Egyptian Journal of …, 2024 - ejchem.journals.ekb.eg
Aims: This study aims to provide a comprehensive overview of the role of artificial
intelligence (AI) and machine learning (ML) in various domains, particularly healthcare, and …
intelligence (AI) and machine learning (ML) in various domains, particularly healthcare, and …
Data-driven failure prediction in brittle materials: A phase field-based machine learning framework
EAB de Moraes, H Salehi… - Journal of Machine …, 2021 - dl.begellhouse.com
Failure in brittle materials led by the evolution of micro-to macro-cracks under repetitive or
increasing loads is often catastrophic with no significant plasticity to advert the onset of …
increasing loads is often catastrophic with no significant plasticity to advert the onset of …
[PDF][PDF] 基于数字孪生的机电液系统PHM 关键技术综述
石健， 刘冬， 王少萍 - 机械工程学报, 2024 - qikan.cmes.org
数字孪生(Digital twin, DT) 技术与预测和健康管理(Prognostics and health management,
PHM) 技术是智能制造领域中的两个热点研究方向. 在对PHM 技术现状总结分析的基础上 …
PHM) 技术是智能制造领域中的两个热点研究方向. 在对PHM 技术现状总结分析的基础上 …
Abnormal Condition Identification Using Antigen Presenting Cell Approach for a Partitioned Immune System
R McLaughlin, M Perhinschi - AIAA SCITECH 2023 Forum, 2023 - arc.aiaa.org
View Video Presentation: https://doi. org/10.2514/6.2023-1659. vid In this paper, a novel
approach to the identification phase of the artificial immune system paradigm is proposed …
approach to the identification phase of the artificial immune system paradigm is proposed …
Data-driven Health Management System for Multi-Spacecraft Formation Flying
View Video Presentation: https://doi. org/10.2514/6.2023-0129. vid Multi-spacecraft missions
involving a fleet of small satellites are gaining significant interest due to low-cost, versatility …
involving a fleet of small satellites are gaining significant interest due to low-cost, versatility …