Results 31 to 40 of about 17,238 (235)
A Microscopic Approach for Generic Degradation Modeling
International Journal of Prognostics and Health Management, 2016 One of the main challenges in prognostics is degradation modeling for which there are no straightforward methods compared with system governing equations modeling (e.g., Newton`s law, Euler`s law, thermodynamics conservation laws, fluid dynamics laws ...
Farhang Momeni, Xiaoning Jin, Jun Ni
doaj +1 more source
Advanced Robotics Research, EarlyView.This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao +6 more
wiley +1 more source
Aircraft lifecycle cost-benefit analysis of PHM systems [PDF]
, 2010 The use of prognostics and health management (PHM) systems can improve operational reliability by reducing delays and cancellations caused by unscheduled maintenance events and no-fault-founds (NFFs).
Hölzel, Nico +2 more
core
PHM Survey : Implementation of Signal Processing Methods for Monitoring Bearings and Gearboxes
International Journal of Prognostics and Health Management, 2018 The reliability and safety of industrial equipments are one of the main objectives of companies to remain competitive in sectors that are more and more exigent in terms of cost and security.
Abdenour Soualhi +5 more
doaj +1 more source
Helix Alignment, Chevrons, and Edge Dislocations in Twist‐Bend Ferroelectric Nematics
Advanced Science, EarlyView.The recently discovered twist‐bend ferroelectric nematic (NTBF) is the new member of the multiferroic family, representing a fluid with an oblique helicoidal (heliconical) periodic structure of spontaneous electric polarization. The work presents a thorough exploration of the material properties of this phase, how the periodic modulation of ...
Bijaya Basnet +8 more
wiley +1 more source
Coal Pulverizer Prognostics Data Challenge in PHMAP 2017 and Suggestions for Future Studies
International Journal of Prognostics and Health Management, 2018 Pulverizers in a power plant are used to grind coal into the form of a fine powder for combustion in a power plant. To secure reliable operation, redundant pulverizers should be installed in power plants and monitored.
Hyunseok Oh +3 more
doaj +1 more source
PHM Society Asia-Pacific ConferenceThe Prognostics and Health Management (PHM) field faces significant challenges due to fragmented benchmarks, inconsistent evaluation protocols, and limited accessibility to comprehensive frameworks, particularly in the era of large-scale data and foundation models. To address these critical limitations, we introduce PHM-Vibench, a unified, extensible,
Qi Li +8 more
openaire +1 more source
Advanced Science, EarlyView.This study employs a nanochain engineering approach combined with an in situ oxidation strategy to fabricate self‐insulating iron‐based magnetic nanochains, addressing the challenge of balancing magnetic coupling and electrical insulation in soft magnetic materials.
Dingrong Zuo +8 more
wiley +1 more source
Uncertainty informed anomaly scores with deep learning : robust fault detection with limited data [PDF]
, 2022 Best Paper Award Lizenzangabe: CC BY 3.0 United StatesQuantifying the predictive uncertainty of a model is an important ingredient in data-driven decision making. Uncertainty quantification has been gaining interest especially for deep learning models,
Goren Huber, Lilach +2 more
core +1 more source
Accelerating Biosensor Discovery: A Computationally‐Driven Pipeline for Microplastics Monitoring
Advanced Intelligent Discovery, EarlyView.A computationally guided pipeline unites molecular simulation, synthetic biology, electrochemical engineering, and machine learning to accelerate biosensor discovery. A Bacillus anthracis carbohydrate‐binding module is used to develop a high‐performance micro‐ and nanoplastics sensor with greatly reduced error and variability.
Gabriel X. Pereira +13 more
wiley +1 more source