Results 91 to 100 of about 11,244 (210)
Remaining useful life estimation in heterogeneous fleets working under variable operating conditions [PDF]
, 2016 The availability of condition monitoring data for large fleets of similar equipment motivates the development of data-driven prognostic approaches that capitalize on the information contained in such data to estimate equipment Remaining Useful Life (RUL).
Al-Dahidi, Sameer +3 more
core +4 more sources
Engineering Reports, Volume 8, Issue 4, April 2026.A comprehensive review of model‐based, data‐driven, and hybrid approaches for Remaining Useful Life (RUL) prediction, emphasizing their role in predictive maintenance, fault diagnosis, and enhancing industrial reliability. ABSTRACT This paper aims to provide a state‐of‐the‐art review of the most recent Remaining Useful Life (RUL) prediction methods ...
Arslan Ahmed Amin +4 more
wiley +1 more source
Machine Learning Framework for Optimising Regeneration of Lithium‐Ion Battery Cathode Materials
Energy Technology, Volume 14, Issue 4, April 2026.A data‐driven machine‐learning framework predicts and optimises regeneration parameters for spent lithium‐ion battery cathodes, accurately modelling electrochemical performance and remaining useful life to enable energy‐efficient, closed‐loop recycling.
Mohammed Alyoubi +6 more
wiley +1 more source
Prognostic Reasoner based adaptive power management system for a more electric aircraft [PDF]
, 2016 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
Scientific ReportsGears, as indispensable components of machinery, demand accurate prediction of their Remaining Useful Life (RUL). To enhance the utilization of ordered information within time series data and elevate RUL prediction precision, this study introduces the ...
Xinping Chen
doaj +1 more source
, 2014 International audienceOne remaining technological bottleneck to develop industrial Fuel Cell (FC) applications resides in the system limited useful lifetime.
Gouriveau, Rafael +4 more
core +1 more source
Prognostics: Design, Implementation, and Challenges [PDF]
, 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
Prognostic and Health Management (PHM) are crucial ways to avoid unnecessary maintenance for Cyber-Physical Systems (CPS) and improve system reliability. Predicting the Remaining Useful Life (RUL) is one of the most challenging tasks for PHM. Existing methods require prior knowledge about the system, contrived assumptions, or temporal mining to model ...
Zekai Zhang +6 more
openaire +2 more sources
Using a high fidelity CCGT simulator for building prognostic systems [PDF]
, 2013 Pressure to reduce maintenance costs in power utilities has resulted in growing interest in prognostic monitoring systems. Accurate prediction of the occurrence of faults and failures would result not only in improved system maintenance schedules but ...
Catterson, Victoria +3 more
core
Remaining Useful Life Prediction of Fracturing Truck Valve Bodies Based on the CB2-RUL Algorithm
ComputationThe triplex reciprocating drilling pump is a critical piece of equipment in drilling platforms, and the operational condition of its core component—the valve body—directly affects the pump’s performance and the stability of the entire system. Therefore, accurate prediction of the valve body’s Remaining Useful Life (RUL) is of great significance for ...
Xinyue Chen +5 more
openaire +1 more source