Murat Yildirim

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Assistant Professor

Wayne State University

United States

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About

Murat Yildirim is an Assistant Professor at Wayne State University in the United States. His research interests focus on failure detection and maintenance optimization in energy systems, with a particular emphasis on photovoltaic inverters and marine energy systems. He has also explored topics such as material extrusion performance and battery management, contributing to advancements in energy asset monitoring and prognosis.

Recent Grants

Grant: Close

CRII: CPS: A Decentralized and Differentially Private Framework for Sensing, Operations and Respond Logistics in Large-Scale Vehicle Fleets

Open Date: 2021-10-01

Close Date: 2024-09-30

Grant: Close

GOALI: Collaborative Research: Generation versus Degradation: Striking the optimal balance for wind farm profitability via digitization, predictive and prescriptive analytics

Open Date: 2021-08-01

Close Date: 2024-07-31

Articles (18)

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2023

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2022

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2022

Collaborators (4)

Edmond Chow

Georgia Institute of Technology

UNITED STATES

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Nagi Gebraeel

Georgia Institute of Technology

UNITED STATES

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Ilke Bakir

Assistant Professor

University of Groningen

NETHERLANDS

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Joao Paulo Jacomini Prioli

Graduate Teaching Assistant

Wayne State University

UNITED STATES

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Murat Yildirim

Research Interests

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Contact this professor

About

Recent Grants

Articles (18)

A novel sensor-driven framework for preemptive failure detection in energy systems: Application to photovoltaic inverters

Robust condition-based generation maintenance: Balancing operations and start/stop cycling to control asset degradation rates

Impact of process parameters on material extrusion (MEX) performance and quality of MEX-produced parts

Self-adaptive production performance monitoring framework under different operating regimes

A degradation-based stochastic optimization framework for inspection and maintenance in marine energy systems

A survey on degradation modeling, prognosis, and prognostics-driven maintenance in wind energy systems

State-of-charge estimation across battery chemistries: A novel regression-based method and insights from unsupervised domain adaptation

Catalyzing deep decarbonization with federated battery diagnosis and prognosis for better data management in energy storage systems

Enhancing Lithium-Ion Battery State-of-Charge Estimation Across Battery Types via Unsupervised Domain Adaptation

A sensor-driven operations and maintenance planning approach for large-scale leased manufacturing systems

Deep Learning-Based Failure Prognostic Model for PV Inverter Using Field Measurements

Adaptable and Generic Methods for Monitoring and Prognostics of Energy Assets

A stochastic programming model for jointly optimizing maintenance and spare parts inventory for IoT applications

Differentially Private Decentralized Generator Maintenance and Operations for Power Networks

Joint Optimization of Production and Maintenance in Offshore Wind Farms: Balancing the Short- and Long-Term Needs of Wind Energy Operation

Online System Prognostics with Ensemble Models and Evolving Clustering

A chance-constrained optimization framework for wind farms to manage fleet-level availability in condition based maintenance and operations

Large-Scale Maintenance and Unit Commitment: A Decentralized Subgradient Approach

Collaborators (4)

Edmond Chow

Nagi Gebraeel

Ilke Bakir

Joao Paulo Jacomini Prioli

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