Results 51 to 60 of about 5,098 (198)

Overview of Explainable Artificial Intelligence for Prognostic and Health Management of Industrial Assets Based on Preferred Reporting Items for Systematic Reviews and Meta-Analyses

open access: yesSensors, 2021
Surveys on explainable artificial intelligence (XAI) are related to biology, clinical trials, fintech management, medicine, neurorobotics, and psychology, among others.
Ahmad Kamal Mohd Nor   +3 more
doaj   +1 more source

Enabling electronic prognostics using thermal data [PDF]

open access: yes, 2006
Prognostics is a process of assessing the extent of deviation or degradation of a product from its expected normal operating condition, and then, based on continuous monitoring, predicting the future reliability of the product. By being able to determine
Pecht, M., Vchare, N.
core   +1 more source

Power Transformer Prognostics and Health Management Using Machine Learning: A Review and Future Directions

open access: yesMachines
Power transformers (PTs) play a vital role in the electrical power system. Assessing their health to predict their remaining useful life is essential to optimise maintenance.
Ryad Zemouri
doaj   +1 more source

Smart Prognostics and Health Management (SPHM) in Smart Manufacturing: An Interoperable Framework

open access: yesSensors, 2021
Advances in the manufacturing industry have led to modern approaches such as Industry 4.0, Cyber-Physical Systems, Smart Manufacturing (SM) and Digital Twins.
Sarvesh Sundaram, Abe Zeid
doaj   +1 more source

Predicting Remaining Useful Life using Time Series Embeddings based on Recurrent Neural Networks [PDF]

open access: yes, 2017
We consider the problem of estimating the remaining useful life (RUL) of a system or a machine from sensor data. Many approaches for RUL estimation based on sensor data make assumptions about how machines degrade.
Agarwal, Puneet   +5 more
core   +3 more sources

Review on Lithium-ion Battery PHM from the Perspective of Key PHM Steps

open access: yesChinese Journal of Mechanical Engineering
Prognostics and health management (PHM) has gotten considerable attention in the background of Industry 4.0. Battery PHM contributes to the reliable and safe operation of electric devices.
Jinzhen Kong   +6 more
doaj   +1 more source

On Continuing Professional Development for Prognostics and Health Management Practitioners

open access: yesInternational Journal of Prognostics and Health Management, 2014
The Prognostics and Health Management Society has as one its principles the advancement of PHM as an engineering discipline. A key factor in this advancement would be helping PHM practitioners to be life-long learners and professionals.
Jeff Bird
doaj   +1 more source

Prognostics: Design, Implementation, and Challenges [PDF]

open access: yes, 2015
Prognostics is an essential part of condition-based maintenance (CBM), described as predicting the remaining useful life (RUL) of a system. It is also a key technology for an integrated vehicle health management (IVHM) system that leads to improved ...
Skaf, Zakwan
core  

Prognostics and Health Management for an Overhead Contact Line System - A Review

open access: yesInternational Journal of Prognostics and Health Management, 2017
The railway industry in European countries is standing a significant competition from other modes of transportation, particularly in the field of freight transport.
Mehdi Brahimi   +3 more
doaj   +1 more source

Physics-based prognostic modelling of filter clogging phenomena [PDF]

open access: yes, 2016
In industry, contaminant filtration is a common process to achieve a desired level of purification, since contaminants in liquids such as fuel may lead to performance drop and rapid wear propagation. Generally, clogging of filter phenomena is the primary
Camci, Faith   +2 more
core   +1 more source

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