Data-Based Decision-Making in Underground Drilling Operations

Date

2022-03-25

Author

Yıldız, Artun
Erkayaoğlu, Mustafa

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

197
views

0
downloads

URI

https://hdl.handle.net/11511/99315

Conference Name

27th International Mining Congress and Exhibition (IMCET 2022)

Collections

Department of Mining Engineering, Conference / Seminar

Suggestions

OpenMETU
Core

Data-Driven Model Discovery and Control of Lateral-Directional Fighter Aircraft Dynamics Öznurlu, Can; Uğur, Ömür; Çimen, Tayfun; Department of Scientific Computing (2022-8-26) The focus of this thesis is to control the lateral-directional motion of the fighter aircraft by using integral action based Model Predictive Control (MPC) where the model is obtained by data-driven model discovery method. Dynamic Mode Decomposition with Control (DMDc) is used as a model discovery technique based only on measurement data with no modeling assumptions. The model created using this technique is used for MPC and tested against noisy conditions. In addition, performance comparison of MPC with Cl...
DATA-DRIVEN APPROACH FOR RUBBERLIKE MATERIALS Tüfekçioğlu, Murat Enis; Dal, Hüsnü; Department of Micro and Nanotechnology (2022-11-22) Rubberlike materials, due to their structure, can undergo very high strains during loading and exhibit highly non-linear behavior. After the load is removed, they usually return to their pre-deformation shape, in a sense, no energy is lost during their deformation. Due to these properties, Rubberlike materials can be modeled as hyperelastic materials. The modeling approach of many people dealing with rubber is to choose one of the appropriate free energy/strain energy functions developed for rubber in the l...
Data Mining Framework for Power Quality Event Characterization of Iron and Steel Plants Guder, Mennan; Salor, Ozgul; ÇADIRCI, IŞIK; Ozkan, Baris; Altintas, Erinc (2015-07-01) In this paper, a power quality (PQ) knowledge discovery and modeling framework has been developed for both temporal and spatial PQ event data collected from transformer substations supplying iron and steel (I&S) plants. PQ event characteristics of various I&S plants have been obtained based on clustering and rule discovery techniques. The data are collected by the PQ analyzers, which detect the voltage sags, swells, and interruptions according to the IEC Standard 61000-4-30. The constructed clustering strat...
Data-driven, long-term prediction of building performance under climate change: Building energy demand and BIPV energy generation analysis across Turkey Tamer, Tolga; Gürsel Dino, İpek; Akgül, Çağla (2022-07-01) This research presents a methodological framework for lifetime energy demand and PV energy generation predictions for a given building considering the CC impacts through multivariate regression models. As a case study, a hypothetical office building in Turkey was selected. An existing linear morphing methodology was utilized to generate future weather files for all 81 cities in Turkey. For each year and city, corresponding weather metrics were calculated, and heating/cooling demand and PV energy generation ...
Data quality assessment in credit risk management by customized total data quality management approach Güneş, Muhammed İlyas; Çetin, Yasemin; Bilgen, Semih; Department of Information Systems (2016) As the size and complexity of financial institutions, more specifically banks, grow, the amount of data that information systems (IS) of such institutions need to handle also increases. This leads to the emergence of a variety of data quality (DQ) problems. Due to the possible economic losses due to such DQ issues, banks need to assure quality of their data via data quality assessment (DQA) techniques. As DQ related problems diversify and get complicated, the requirement for contemporary data quality assess...

Citation Formats

A. Yıldız and M. Erkayaoğlu, “Data-Based Decision-Making in Underground Drilling Operations,” presented at the 27th International Mining Congress and Exhibition (IMCET 2022), Antalya, Türkiye, 2022, Accessed: 00, 2022. [Online]. Available: https://hdl.handle.net/11511/99315.