Results 81 to 90 of about 26,721 (240)

Prognosis of Bearing Acoustic Emission Signals Using Supervised Machine Learning [PDF]

, 2018
© 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new ...
Elforjani, Mohamed, Shanbr, Suliman
core   +2 more sources

Remaining Useful Life Estimation of MoSi₂ Heating Element in a Pusher Kiln Process

Sensors
The critical challenge of estimating the Remaining Useful Life (RUL) of MoSi2 heating elements utilized in pusher kiln processes is to enhance operational efficiency and minimize downtime in industrial applications.
Hafiz M. Irfan, Po-Hsuan Liao, Muhammad Ikhsan Taipabu, Wei Wu   +3 more
doaj   +1 more source

Remaining useful life prediction for ball bearings based on health indicators [PDF]

MATEC Web of Conferences, 2019
Uncertainty in remaining useful life (RUL) prediction is nowadays a scientific problem that occupies industrials. Many prognostic models have been developed to respond to this issue from probabilistic to non-probabilistic approaches.
Al Masry Zeina, Schaible Patrick, Zerhouni Noureddine, Varnier Christophe   +3 more
doaj   +1 more source

Failure Analysis and Maintenance Planning for Repairable Deteriorating Structural Systems Subject to Imperfect Maintenance

Quality and Reliability Engineering International, Volume 42, Issue 3, Page 992-1008, April 2026.
ABSTRACT The analysis of a system that deteriorates under imperfect maintenance is essential in reliability engineering. Imperfect maintenance does not fully restore a system to its original condition, leading to complex degradation patterns. Statistical inference techniques allow for precise estimation of degradation parameters, maintenance effects ...
Reza Ahmadi, Mitra Fouladirad
wiley   +1 more source

A Similarity-Based Prognostics Approach for Remaining Useful Life Prediction [PDF]

, 2014
Physics-based and data-driven models are the two major prognostic approaches in the literature with their own advantages and disadvantages. This paper presents a similarity-based data-driven prognostic methodology and efficiency analysis study on ...
Camci, Faith, Eker, Ömer Faruk, Jennions, Ian K.   +2 more
core   +1 more source

Weibull‐Neural Network Framework for Wind Turbine Lifetime Monitoring and Disturbance Identification

Wind Energy, Volume 29, Issue 4, April 2026.
ABSTRACT Wind turbines are vital for sustainable energy, yet their reliability under diverse operational and environmental conditions remains a challenge, often leading to costly failures. This study presents a novel Weibull‐Neural Network Framework to enhance wind turbine lifetime monitoring by estimating reliability (R(t)) and mean residual life (MRL)
Fatemeh Kiadaliry, Sadigh Raissi, Alireza Rashidi Komijan   +2 more
wiley   +1 more source

Effects of Psychosocial Interventions on Loneliness Amongst Long‐Term Care Residents: A Systematic Review and Meta‐Analysis

Journal of Advanced Nursing, Volume 82, Issue 4, Page 3958-3975, April 2026.
ABSTRACT Background Loneliness significantly affects the physical and mental health of older adults, particularly those in long‐term care settings. Despite the high prevalence of loneliness, comprehensive reviews on psychosocial interventions targeting loneliness in these populations are scarce.
Jodie Cheuk‐Yan Szeto, Lily Man‐Lee Chan, Wilfred Wing‐Fung Sin, Daniel Yee‐Tak Fong, Jojo Yan‐Yan Kwok   +4 more
wiley   +1 more source

A PHM System Approach: Application to a Simplified Aircraft Bleed System [PDF]

, 2015
Regarding Prognostics and Health Management (PHM), the stakes lie in system-level prognostics or even the prognostics of systems of systems, as decisions are usually made at system or platform level. In this paper, a method, which takes into account both
Maitre, Josselin, Medjaher, Kamal, Sen Gupta, Jayant, Zerhouni, Noureddine   +3 more
core   +1 more source

Trustworthy Federated Learning for Industrial IoT: Balancing Robustness and Fairness via Blockchain‐Based Reputation

Artificial Intelligence for Engineering, Volume 2, Issue 1, Page 67-77, March 2026.
This paper proposes Block‐FairFL, a Trustworthy Federated Learning framework empowered by Blockchain, to address the dual challenges of security and fairness in deploying AI for industrial engineering. ABSTRACT The integration of artificial intelligence into the industrial Internet of Things is pivotal for predictive maintenance and autonomous control.
Hui Li
wiley   +1 more source

Data-Driven prognostics based on health indicator construction : Application to PRONOSTIA's Data.

, 2013
International audienceFailure prognostics can help improving the availability and reliability of industrial systems while reducing their maintenance cost.
Baklouti, Jihène, Medjaher, Kamal, Zerhouni, Noureddine   +2 more
core   +3 more sources