Results 111 to 120 of about 26,953 (213)
Prognostic Reasoner based adaptive power management system for a more electric aircraft [PDF]
This research work presents a novel approach that addresses the concept of an adaptive power management system design and development framed in the Prognostics and Health Monitoring(PHM) perspective of an Electrical power Generation and distribution ...
Alghassi, Alireza +3 more
core
Remaining Useful Life (RUL) Estimation for Lithium-Ion Battery Using Extreme Learning Machine
Study proposes a new method for predicting the remaining useful life (RUL) of lithium-ion batteries using the Extreme Learning Machine (ELM) algorithm by employing advanced feature extraction techniques to identify critical parameters influencing battery degradation.
Vimal Singh Bisht +6 more
openaire +1 more source
Investigation of Bearing Fatigue Damage Life Prediction Using Oil Debris Monitoring [PDF]
Research was performed to determine if a diagnostic tool for detecting fatigue damage of helicopter tapered roller bearings can be used to determine remaining useful life (RUL).
Bolander, Nathan +3 more
core +1 more source
Accelerated Aging System for Prognostics of Power Semiconductor Devices [PDF]
Prognostics is an engineering discipline that focuses on estimation of the health state of a component and the prediction of its remaining useful life (RUL) before failure.
Celaya, Jose R. +3 more
core +1 more source
Knowledge discovery, statistical learning, and more specifically an understanding of the system evolution in time when it undergoes undesirable fault conditions, are critical for an adequate implementation of successful prognostic systems.
Goebel, Kai +2 more
core +1 more source
Implementation of a Bayesian linear regression framework for nuclear prognostics [PDF]
Steam turbines are an important asset of nuclear power plants (NPPs), and are required to operate reliably and efficiently. Unplanned outages have a significant impact on the ability of the plant to generate electricity.
Catterson, Victoria +5 more
core
Aircraft Engine Remaining Useful Life Prediction Using Machine Learning
Knowing the Remaining Useful Life (RUL) of aircraft engines is of paramount importance in the aviation industry. RUL helps anticipate engine failures beforehand so that airlines can proactively schedule maintenance, optimize resource allocation, and ...
Michael Kimollo, Xudong Liu
doaj +1 more source
Major challenges in prognostics: study on benchmarking prognostic datasets [PDF]
Even though prognostics has been defined to be one of the most difficult tasks in Condition Based Maintenance (CBM), many studies have reported promising results in recent years.
Camci, Faith +2 more
core
Accurate prediction of remaining useful life (RUL) plays a significant role in ensuring the safe flight of aircraft. With the recent rapid development of deep learning, there has been a growing trend towards more precise RUL prediction.
Meng Ma, Zhizhen Wang, Zhirong Zhong
doaj +1 more source
Prognostics of PEM fuel cell in a particle filtering framework.
International audienceProton Exchange Membrane Fuel Cells (PEMFC) suffer from a limited lifespan, which impedes their uses at a large scale. From this point of view, prognostics appears to be a promising activity since the estimation of the Remaining ...
Gouriveau, Rafael +4 more
core +1 more source

