Results 21 to 30 of about 9,324 (243)

Lithium-Ion Battery Prognostics through Reinforcement Learning Based on Entropy Measures

Algorithms, 2022
Lithium-ion is a progressive battery technology that has been used in vastly different electrical systems. Failure of the battery can lead to failure in the entire system where the battery is embedded and cause irreversible damage.
Alireza Namdari, Maryam Asad Samani, Tariq S. Durrani   +2 more
doaj   +1 more source

Vibration Resonance Spectrometry (VRS) for the Advanced Streaming Detection of Rotor Unbalance

Machines, 2023
Determination of the diagnosis thresholds is crucial for the fault diagnosis of industry assets. Rotor machines under different working conditions are especially challenging because of the dynamic torque and speed.
Matthew T. Gerdes, Yawen Wang, Xinqi Wei, Guang C. Wang, Ruixian Liu, Kenny C. Gross   +5 more
doaj   +1 more source

Prognostics for a Leaking Hydraulic Actuator Based on the F-Distribution Particle Filter

IEEE Access, 2017
Particle filter has been developing prosperously in the prognostics field and is being applied with success in prognostics of complex systems or components. The existing research works on the prognostic process demonstrate that the state prediction phase
Runxia Guo, Quan Gan
doaj   +1 more source

A RUL Estimation System from Clustered Run-to-Failure Degradation Signals

Sensors, 2022
The prognostics and health management disciplines provide an efficient solution to improve a system’s durability, taking advantage of its lifespan in functionality before a failure appears.
Anthony D. Cho, Rodrigo A. Carrasco, Gonzalo A. Ruz   +2 more
doaj   +1 more source

Communication and Language Profiles of Children Treated for Posterior Fossa Brain Tumors

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Cognitive and language deficits are frequently reported sequelae of posterior fossa brain tumors (PFBT). Typically, delayed onset impedes prompt assessment and early intervention. This has devastating implications for quality of life.
Zara Sved, Meghan Hesse, Jennie Cusiter, Annabel Webb, Kimberley Docking   +4 more
wiley   +1 more source

Lifetime modelling for mechanical equipment by utilizing time-series data based-on the damage-based survival analysis (A trial for applying the model to the equipment in a chemical plant)

Nihon Kikai Gakkai ronbunshu, 2020
A variety of health assessment technologies for mechanical systems utilizing time-series sensor data has been developed and are recently being applied to the maintenance work as a solution to the predictive maintenance.
Yosuke UEKI, Hiroaki AMAKAWA, Ippei NUMATA, Atsuki SANDO, Makoto NAKASHIMA   +4 more
doaj   +1 more source

Investigating the Efficiencies of Fusion Algorithms for Accurate Equipment Monitoring and Prognostics

Energies, 2022
Recent findings suggest the need for optimal condition monitoring due to increasing counter-productive issues ranging from threats to life, malware, and hardware failures.
Ugochukwu Ejike Akpudo, Jang-Wook Hur
doaj   +1 more source

The HIT Network for Children and Adolescents With CNS Tumors Facilitates Improvements of Diagnostic Assessments, Multimodal Treatments, Individual Counseling, and Research in Germany, Austria, and Switzerland

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background The HIT network was established in 2000 to create a population‐based structure aiming to improve survival rates and reduce late effects for children with central nervous system (CNS) tumors by conducting comprehensive clinical trials.
Stefan Rutkowski, Michael C. Frühwald, Gudrun Fleischhack, Stephan Tippelt, Pablo Hernáiz‐Driever, Olaf Witt, Astrid Gnekow, Christof Kramm, Matthias Eyrich, Johannes E. A. Wolf, Hermann Müller, Carsten Friedrich, Uwe R. Kordes, Denise Obrecht‐Sturm, Petra Ketteler, Barbara von Zezschwitz, Pascal Johann, Dominik Sturm, Karoline Nemes, Stefan Schönberger, Till Milde, Brigitte Bison, Monika Warmuth‐Metz, Torsten Pietsch, Ulrich Schüller, Arend Koch, David Capper, Martin Hasselblatt, Christian Thomas, Christian Hagel, Stefan M. Pfister, Felix Sahm, David T. W. Jones, Martin U. Schuhmann, Jürgen Krauss, Pedram Emami, Ahmed El Damaty, Rolf D. Kortmann, Rudolf Schwarz, Jürgen Debus, Mechthild Krause, Fabian Pohl, Holger Ottensmeier, Lisa Bußenius, Katja Baust, Andreas Faldum, Cecile Ronckers, Desiree Grabow, Martin Benesch, Thomas Perwein, Karin Dieckmann, Irene Slavc, Johannes Gojo, Nicolas U. Gerber, André O. von Bueren, Katrin Scheinemann, Gabriele Calaminus, Beate Timmermann, Ulrich‐Wilhelm Thomale, Martin Mynarek   +59 more
wiley   +1 more source

A Model-based Prognostics Approach Applied to Pneumatic Valves [PDF]

International Journal of Prognostics and Health Management, 2011
Within the area of systems health management, the task of prognostics centers on predicting when components will fail. Model-based prognostics exploits domain knowledge of the system, its components, and how they fail by casting the underlying physical ...
Matthew J. Daigle, Kai Goebel
doaj  

Prognostic models

Practical Neurology, 2008
An appreciation of prognosis is essential for effective clinical practice, in neurology as in other fields. Predicting risk of a poor outcome in individuals, or at least in well-defined groups of individuals, is necessary to properly inform patients about what the future holds for them, and the likely benefits of treatment. Despite the various pitfalls
openaire   +2 more sources