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A combining condition prediction model and its application in power plant

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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1109/72.279188openalex-snapshot
Recurrent neural networks and robust time series prediction

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.5281/zenodo.34750openalex-extracted
A Method For Condition Evaluation Based On Dsmt
inferred← citeshttps://doi.org/10.1007/978-3-540-88518-4_62openalex-snapshot
Development of SOA Based Equipments Maintenance Decision Support System
inferred← citeshttps://doi.org/10.1007/s00170-009-2482-0openalex-snapshot
Current status of machine prognostics in condition-based maintenance: a review
inferred← citeshttps://doi.org/10.1016/j.comnet.2015.12.016openalex-snapshot
Closed-loop design evolution of engineering system using condition monitoring through internet of things and cloud computing
inferred← citeshttps://doi.org/10.1016/j.jprocont.2015.08.007openalex-snapshot
Fault detection and isolation of gas turbine engines using a bank of neural networks
inferred← citeshttps://doi.org/10.1016/j.ymssp.2005.09.012openalex-snapshot
A review on machinery diagnostics and prognostics implementing condition-based maintenance
inferred← citeshttps://doi.org/10.1108/gs-03-2021-0046openalex-snapshot
Two-stage multi-level equipment grey state prediction model and application
inferred← citeshttps://doi.org/10.1109/appeec.2016.7779495openalex-snapshot
Artificial intelligence based techniques for remaining useful life assessment of electrical power distribution & transmission equipments: Comparative study
inferred← citeshttps://doi.org/10.1109/codit.2019.8820366openalex-snapshot
Arrowhead Framework services for condition monitoring and maintenance based on the open source approach
inferred← citeshttps://doi.org/10.1109/iccse.2014.6926455openalex-snapshot
A framework of design weakness detection through machine health monitoring for the evolutionary design optimization of multi-domain systems
inferred← citeshttps://doi.org/10.1109/icime.2010.5478066openalex-snapshot
A method for condition evaluation based on DSmT
inferred← citeshttps://doi.org/10.1109/tr.2012.2220700openalex-snapshot
Connexionist-Systems-Based Long Term Prediction Approaches for Prognostics
inferred← citeshttps://doi.org/10.1109/tr.2014.2315912openalex-snapshot
Remaining Useful Life Estimation by Classification of Predictions Based on a Neuro-Fuzzy System and Theory of Belief Functions
inferred← citeshttps://doi.org/10.12982/cmujns.2021.028openalex-snapshot
Smart Mechanical Systems for Manufacturing in the Era of Industry 4.0: Condition-Based Predictive Maintenance and Dynamic System Modification for Small and Medium-Sized Enterprises
inferred← citeshttps://doi.org/10.1504/ejie.2012.048854openalex-snapshot
A review of condition-based maintenance decision-making
inferred← citeshttps://doi.org/10.1504/ijmpt.2008.019781openalex-snapshot
Facility health maintenance through SVR-driven degradation prediction
inferred← citeshttps://doi.org/10.23919/ecc.2009.7074633openalex-snapshot
Review of prognostic problem in condition-based maintenance
inferred← citeshttps://doi.org/10.2478/v10177-012-0048-9openalex-snapshot
Nonlinear Trend Analysis of Mill Fan System Vibrations for Predictive Maintenance and Diagnostics
inferred← citeshttps://doi.org/10.3182/20070927-4-ro-3905.00072openalex-snapshot
FRAMEWORK FOR A DISTRIBUTED AND HYBRID PROGNOSTIC SYSTEM
inferred← citeshttps://doi.org/10.3390/app10186360openalex-snapshot
An Open Source Framework Approach to Support Condition Monitoring and Maintenance
inferred← citeshttps://doi.org/10.5293/ijfms.2009.2.1.061openalex-snapshot
Machine Fault Diagnosis and Prognosis: The State of The Art
inferred← citeshttps://doi.org/10.5821/dissertation-2117-115995openalex-snapshot
Prognostics and health aware model predictive control of wind turbines
inferred← citeshttps://doi.org/10.70675/25f4c37dz8f6dz4d47zb207z7a0686c0a1b9openalex-snapshot
Advanced analytical model for the prognostic of industrial systems subject to fatigue
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