A Functional Architecture of Prognostics and Health Management using a Systems Engineering Approach
, 2018 Prognostic and Health Management (PHM) describes a set of capabilities that enable effective and efficient approaches towards data analysis for fault diagnostics and failure prognostics.
Li, R. (author) +2 more
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New Machine Learning Methods for Prognostic and Health Management PHM [PDF]
2021 4th IEEE International Conference on Industrial Cyber-Physical Systems (ICPS), 2021 openaire +1 more source
A REVIEW: PROGNOSTICS AND HEALTH MANAGEMENT IN AUTOMOTIVE AND AEROSPACE
International Journal of Prognostics and Health Management, 2019 Prognostics and Health Management (PHM) attracts increasing interest of many researchers due to its potentially important applications in diverse disciplines and industries.
Van Duc Nguyen +6 more
doaj +1 more source
PHM SURVEY : IMPLEMENTATION OF DIAGNOSTIC METHODS FOR MONITORING INDUSTRIAL SYSTEMS
International Journal of Prognostics and Health Management, 2019 The modernization of industrial sectors involves the use of complex industrial systems and therefore requires condition based maintenance. This one aims at increasing the operational availability and reducing the life-cycle while increasing the ...
Abdenour Soualhi +6 more
doaj +1 more source
Cybersecurity in Prognostics and Health Management
PHM continues to show its value by improving operational efficiencies, increasing safety, reducing downtime, and decreasing cost of operations. PHM technologies are therefore not only being deployed as retrofit solutions but are being integrated into new
Goebel, Kai,, Goebel, Kai
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Failure modes and non-destructive testing techniques for fiber-reinforced polymer composites
Journal of Materials Research and TechnologyPrognostics and health management (PHM) is an enabling technology essential for the safe operation and conditional maintenance of any engineering system.
Muhammad Muzammil Azad +5 more
doaj +1 more source
Digital Twin Generalization with Meta and Geometric Deep Learning
Deep digital twins (DDTs) are deep neural networks that encode the behavior of complex physical systems. DDTs are excellent system representations due to their ability to continuously adapt to operational changes and their capability to capture complex ...
Fink, Olga, Theiler, Raffael
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Critical Components Selection for a Prognostics and Health Management System Design: an Application to an Overhead Contact System [PDF]
, 2016 International audienceIn recent years, improving quality of rail services by increasing availability, saving energy, and cutting the costs of infrastructure and rolling stock maintenance has become a central concern in the railway industry.
Zerhouni, Noureddine +3 more
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An Introduction to PHM and Prognostics Case Studies
, 2018 Part 5: Industry 4.0 - Digital TwinInternational audienceLarge-scale systems such as plants should be operated with high reliability and availability because the downtime due to system failure has a significant influence on the manufacturing activity ...
Jun, Hong-Bae, Hong-Bae Jun
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Knowledge-based and Expert Systems in Prognostics and Health Management: a Survey
Prognostics and Health Management (PHM) has become increasingly popular in recent years, and data-driven methods and artificial intelligence have emerged as dominant tools within the PHM field.
Forest, Florent, Bouhadra, Kalil
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