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Requirements Flowdown for Prognostics and Health Management [PDF]

open access: yesInfotech@Aerospace 2012, 2012
Prognostics and Health Management (PHM) principles have considerable promise to change the game of lifecycle cost of engineering systems at high safety levels by providing a reliable estimate of future system states. This estimate is a key for planning and decision making in an operational setting.
Abhinav Saxena   +5 more
openaire   +1 more source

Prognostics and health management technology for radar system [PDF]

open access: yesMATEC Web of Conferences, 2020
Information-based war in the future has a higher requirement to the maintenance and support ability of radar system. Prognostics and Health Management(PHM) technology represents the research hotspot of maintenance system, and following key techniques ...
Lyu Yongle   +3 more
doaj   +1 more source

A Review on Prognostics and Health Management [PDF]

open access: yesInternational Journal of Advanced Network, Monitoring and Controls, 2018
Abstract The health management of complex equipment is crucial to ensure the reliability, maintainability and safety of complex equipment. This paper introduces the basic concept and research connotation of prognostics and health management (PHM), analyzes the significance of PHM technology in equipment maintenance.
Nannan, Hu, Xiaohao, Su, Liu, Baolong
openaire   +1 more source

Improving Aircraft Engines Prognostics and Health Management via Anticipated Model-Based Validation of Health Indicators [PDF]

open access: yes, 2014
The aircraft engines manufacturing industry is subjected to many dependability constraints from certification authorities and economic background. In particular, the costs induced by unscheduled maintenance and delays and cancellations impose to ensure a
MECHBAL, Nazih   +2 more
core   +1 more source

Auxiliary Particle Filter for Prognostics and Health Management

open access: yesInternational Journal of Prognostics and Health Management, 2023
Accurately predicting the remaining useful life (RUL) of a system is a crucial factor in prognostics and health management (PHM). This paper introduces an auxiliary particle filter (APF) model, which has the advantages of dynamically updating the model ...
Hang Xiao, Jamie Coble, J Wesley Hines
doaj   +1 more source

On Performance of Multicast Delivery with Fixed WiMAX Telemedicine Networks Using Single-Carrier Modulation

open access: yesJournal of Advances in Information Technology, 2010
IEEE 802.16e fixed WiMAX provides a low cost solution for integrated multimedia access networks with a wide bandwidth making it particularly suitable for telemedicine applications.
Bernard Fong, Guan Yue Hong
doaj   +1 more source

Selection and Validation of Health Indicators in Prognostics and Health Management System Design [PDF]

open access: yes, 2013
Health Monitoring is the science of system health status evaluation. In the modern industrial world, it is getting more and more importance because it is a powerful tool to increase systems dependability.
Jean-Remi Masse   +5 more
core   +1 more source

A Review of Post-Prognostics Decision-Making in Prognostics and Health Management

open access: yesInternational Journal of Prognostics and Health Management, 2020
Mainly, the prognostics and health management (PHM) process is based on three processes: the data acquisition and health assessment process in which sensors signals are acquired and processed, the diagnostic and prognostic process in which the source of ...
Omar Bougacha   +2 more
doaj   +1 more source

A novel framework to link prognostics and health management and product-service systems using online simulation [PDF]

open access: yes, 2012
Product-Service Systems (PSS) and Prognostics and Health Management (PHM) have so far been researched individually in different domains and as unrelated research theme.
Alfaro, Sadek Crisóstomo Absi   +5 more
core   +1 more source

A data enlargement strategy for fault classification through a convolutional auto-encoder

open access: yesMATEC Web of Conferences, 2019
The amount of data is of crucial to the accuracy of fault classification through machine learning techniques. In wind energy harvest industry, due to the shortage of faulty data obtained in real practice, together with ever changing operational ...
Hao Cui   +4 more
doaj   +1 more source

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