Farnaz Fallahi

ORCID: 0000-0002-1607-4755
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About
Contact & Profiles
Research Areas
  • Reliability and Maintenance Optimization
  • Wind Energy Research and Development
  • Power System Reliability and Maintenance
  • Mining Techniques and Economics
  • Advanced Battery Technologies Research
  • Management and Optimization Techniques
  • Quality and Safety in Healthcare

Wayne State University
2020-2023

Industrial sensor data provides significant insights into the failure risks of microgrid generation assets. In traditional applications, these sensor-driven are used to generate alerts that initiate maintenance actions without considering their impact on operational aspects. The focus this paper is propose a framework i) builds seamless integration between and & drivers ii) demonstrates value for improving multiple aspects operations. proposed offers an integrated stochastic optimization...

10.1109/tpwrs.2021.3066462 article EN publisher-specific-oa IEEE Transactions on Power Systems 2021-04-14

The rapid increase in scale and sophistication of offshore wind (OSW) farms poses a critical challenge related to the cost-effective operation management energy assets. A defining characteristic this is economic trade-off between two concomitant processes: power production (the primary driver short-term revenues), asset degradation main determinant long-term expenses). Traditionally, approaches optimize maintenance have been conducted isolation. In article, we conjecture that joint...

10.1109/tste.2023.3308473 article EN IEEE Transactions on Sustainable Energy 2023-08-24

The rapid increase in scale and sophistication of offshore wind (OSW) farms poses a critical challenge related to the cost-effective operation management energy assets. A defining characteristic this is economic trade-off between two concomitant processes: power production (the primary driver short-term revenues), asset degradation main determinant long-term expenses). Traditionally, approaches optimize maintenance have been conducted isolation. In paper, we conjecture that joint...

10.48550/arxiv.2303.06174 preprint EN cc-by-nc-sa arXiv (Cornell University) 2023-01-01

Effective operations and maintenance (O&M) in modern production systems hinges on careful orchestration of economic degradation dependencies across a multitude assets. While the are well studied, their impact system remain an open challenge. To address this challenge, we model condition-based decisions for multi-asset with interactions. There is rich literature O&M policies single-asset systems. These models fail to represent composed multiple interacting We providing first optimize embedded...

10.48550/arxiv.2311.10966 preprint EN other-oa arXiv (Cornell University) 2023-01-01

Industrial sensor data provides significant insights into the failure risks of microgrid generation assets. In traditional applications, these sensor-driven are used to generate alerts that initiate maintenance actions without considering their impact on operational aspects. The focus this paper is propose a framework i) builds seamless integration between and & drivers, ii) demonstrates value for improving multiple aspects operations. proposed offers an integrated stochastic optimization...

10.48550/arxiv.2012.14926 preprint EN other-oa arXiv (Cornell University) 2020-01-01
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