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https://doi.org/10.2139/ssrn.4677679
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inferredcites →https://doi.org/10.1007/978-1-4899-7491-4openalex-extracted
Simulation-Based Optimization
inferredcites →https://doi.org/10.1007/978-3-030-49165-9_1openalex-extracted
Machine Learning for Predictive and Prescriptive Analytics of Operational Data in Smart Manufacturing
inferredcites →https://doi.org/10.1007/978-3-319-06257-0_6openalex-extracted
Discovering Block-Structured Process Models from Event Logs Containing Infrequent Behaviour
inferredcites →https://doi.org/10.1007/978-3-662-49851-4openalex-extracted
Process Mining: Data Science in Action
inferredcites →https://doi.org/10.1007/b138130openalex-extracted
Discrete, Continuous, and Hybrid Petri Nets
inferredcites →https://doi.org/10.1007/s10845-021-01903-yopenalex-extracted
Data-driven dynamic causality analysis of industrial systems using interpretable machine learning and process mining
inferredcites →https://doi.org/10.1016/0278-6125(93)90306-eopenalex-extracted
Analysis of machine degradation using a neural network based pattern discrimination model
inferredcites →https://doi.org/10.1016/b978-0-444-82186-7.x5000-3openalex-extracted
Fouling of Heat Exchangers
inferredcites →https://doi.org/10.1016/j.apenergy.2019.03.027openalex-extracted
A reinforcement learning framework for optimal operation and maintenance of power grids
inferredcites →https://doi.org/10.1016/j.asej.2013.04.006openalex-extracted
Petri nets for fault diagnosis of large power generation station
inferredcites →https://doi.org/10.1016/j.compind.2003.10.001openalex-extracted
Process mining: a research agenda
inferredcites →https://doi.org/10.1016/j.compind.2018.04.019openalex-extracted
Enabling condition-based maintenance decisions with proactive event-driven computing
inferredcites →https://doi.org/10.1016/j.compind.2020.103316openalex-extracted
Digital Twin for maintenance: A literature review
inferredcites →https://doi.org/10.1016/j.compind.2022.103640openalex-extracted
Decision fusion for reliable fault classification in energy-intensive process industries
inferredcites →https://doi.org/10.1016/j.engappai.2023.106853openalex-extracted
Learn-to-supervise: Causal reinforcement learning for high-level control in industrial processes
inferredcites →https://doi.org/10.1016/j.eswa.2022.117297openalex-extracted
Construction of health indicators for condition monitoring of rotating machinery: A review of the research
inferredcites →https://doi.org/10.1016/j.ijpe.2023.108798openalex-extracted
Optimizing the preventive maintenance frequency with causal machine learning
inferredcites →https://doi.org/10.1016/j.jmsy.2020.02.004openalex-extracted
Petri-net-based dynamic scheduling of flexible manufacturing system via deep reinforcement learning with graph convolutional network
inferredcites →https://doi.org/10.1016/j.measurement.2020.107929openalex-extracted
Deep learning for prognostics and health management: State of the art, challenges, and opportunities
inferredcites →https://doi.org/10.1016/j.neucom.2018.02.083openalex-extracted
Machinery health indicator construction based on convolutional neural networks considering trend burr
inferredcites →https://doi.org/10.1016/j.neucom.2019.07.075openalex-extracted
A deep belief network based health indicator construction and remaining useful life prediction using improved particle filter
inferredcites →https://doi.org/10.1016/j.patrec.2014.01.008openalex-extracted
A review of unsupervised feature learning and deep learning for time-series modeling
inferredcites →https://doi.org/10.1016/j.ress.2013.09.004openalex-extracted
Optimal condition-based maintenance decisions for systems with dependent stochastic degradation of components
inferredcites →https://doi.org/10.1016/j.ress.2014.08.011openalex-extracted
A proactive condition-based maintenance strategy with both perfect and imperfect maintenance actions
inferredcites →https://doi.org/10.1016/j.ress.2014.10.015openalex-extracted
Optimal maintenance policy and residual life estimation for a slowly degrading system subject to condition monitoring
inferredcites →https://doi.org/10.1016/j.ress.2021.107965openalex-extracted
An Intelligent Health diagnosis and Maintenance Decision-making approach in Smart Manufacturing
inferredcites →https://doi.org/10.1016/j.ress.2022.109013openalex-extracted
Self-adaptive optimized maintenance of offshore wind turbines by intelligent Petri nets
inferredcites →https://doi.org/10.1021/acs.iecr.0c03241openalex-extracted
Data-Driven Prescriptive Maintenance: Failure Prediction Using Ensemble Support Vector Classification for Optimal Process and Maintenance Scheduling
inferredcites →https://doi.org/10.1080/01457630902744119openalex-extracted
Heat Exchanger Fouling: Environmental Impacts
inferredcites →https://doi.org/10.1080/0951192x.2019.1571236openalex-extracted
PriMa: a prescriptive maintenance model for cyber-physical production systems
inferredcites →https://doi.org/10.1088/1361-6501/aced5fopenalex-extracted
Prescriptive maintenance for complex products with digital twin considering production planning and resource constraints
inferredcites →https://doi.org/10.1108/eb024706openalex-extracted
THE PARETO PRINCIPLE: ITS USE AND ABUSE
inferredcites →https://doi.org/10.1109/5.24143openalex-extracted
Petri nets: Properties, analysis and applications
inferredcites →https://doi.org/10.1109/cidm.2011.5949453openalex-extracted
Flexible Heuristics Miner (FHM)
inferredcites →https://doi.org/10.1109/mue.2007.165openalex-extracted
On Clustering Multimedia Time Series Data Using K-Means and Dynamic Time Warping
inferredcites →https://doi.org/10.1109/tcss.2021.3132355openalex-extracted
A Learning-Embedded Attributed Petri Net to Optimize Student Learning in a Serious Game
inferredcites →https://doi.org/10.1109/tkde.2004.47openalex-extracted
Workflow mining: discovering process models from event logs
inferredcites →https://doi.org/10.1109/tpwrs.2015.2506600openalex-extracted
Sensor-Driven Condition-Based Generator Maintenance Scheduling—Part I: Maintenance Problem
inferredcites →https://doi.org/10.1109/tr.2014.2337791openalex-extracted
Multi-Level Decision-Making for The Predictive Maintenance of $k$ -Out-of- $n$ :F Deteriorating Systems
inferredcites →https://doi.org/10.1109/tsmcb.2003.810448openalex-extracted
Reinforcement learning for high-level fuzzy petri nets
inferredcites →https://doi.org/10.3390/app7020136openalex-extracted
Manufacturing Scheduling Using Colored Petri Nets and Reinforcement Learning
inferredcites →https://doi.org/10.3390/electronics10070828openalex-extracted
A Review of Data-Driven Decision-Making Methods for Industry 4.0 Maintenance Applications
inferredcites →https://doi.org/10.36001/ijphm.2021.v12i3.2911openalex-extracted
Concept and Economic Evaluation of Prescriptive Maintenance Strategies for an Automated Condition Monitoring System
inferredcites →https://doi.org/10.5772/48398openalex-extracted
Construction and Application of Learning Petri Net
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