Turhan, Cihan

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Cihan, Turhan
T.,Cihan
Turhan, Cihan
C., Turhan
T., Cihan
Turhan, C.
C.,Turhan
Turhan,C.
Turhan C.
Job Title
Doçent Doktor
Email Address
cihan.turhan@atilim.edu.tr
Main Affiliation
Energy Systems Engineering
Status
Website
ORCID ID
Scopus Author ID
Turkish CoHE Profile ID
Google Scholar ID
WoS Researcher ID

Sustainable Development Goals

2

ZERO HUNGER
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0

Research Products

11

SUSTAINABLE CITIES AND COMMUNITIES
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15

Research Products

14

LIFE BELOW WATER
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0

Research Products

6

CLEAN WATER AND SANITATION
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0

Research Products

1

NO POVERTY
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0

Research Products

5

GENDER EQUALITY
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3

Research Products

9

INDUSTRY, INNOVATION AND INFRASTRUCTURE
INDUSTRY, INNOVATION AND INFRASTRUCTURE Logo

1

Research Products

16

PEACE, JUSTICE AND STRONG INSTITUTIONS
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0

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17

PARTNERSHIPS FOR THE GOALS
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0

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15

LIFE ON LAND
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0

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10

REDUCED INEQUALITIES
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1

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7

AFFORDABLE AND CLEAN ENERGY
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11

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8

DECENT WORK AND ECONOMIC GROWTH
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1

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4

QUALITY EDUCATION
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5

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12

RESPONSIBLE CONSUMPTION AND PRODUCTION
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4

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3

GOOD HEALTH AND WELL-BEING
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1

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13

CLIMATE ACTION
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1

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Documents

45

Citations

727

h-index

15

Documents

40

Citations

634

Scholarly Output

47

Articles

31

Views / Downloads

248/1418

Supervised MSc Theses

7

Supervised PhD Theses

0

WoS Citation Count

478

Scopus Citation Count

551

WoS h-index

13

Scopus h-index

14

Patents

0

Projects

0

WoS Citations per Publication

10.17

Scopus Citations per Publication

11.72

Open Access Source

18

Supervised Theses

7

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JournalCount
Buildings4
Energy and Buildings4
Mugla Journal of Science and Technology2
Sustainability2
Journal of Building Engineering2
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Scholarly Output Search Results

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  • Conference Object
    Citation - WoS: 1
    Citation - Scopus: 2
    Hardware-In Assessment of a Fault Tolerant Fuzzy Control Scheme for an Offshore Wind Farm Simulator
    (Elsevier, 2022) Simani, Silvio; Farsoni, Saverio; Turhan, Cihan
    To enhance both the safety and the efficiency of offshore wind park systems, faults must be accommodated in their earlier occurrence, in order to avoid costly unplanned maintenance. Therefore, this paper aims at implementing a fault tolerant control strategy by means of a data-driven approach relying on fuzzy logic. In particular, fuzzy modelling is considered here as it enables to approximate unknown nonlinear relations, while managing uncertain measurements and disturbance. On the other hand, the model of the fuzzy controller is directly estimated from the input-output signals acquired from the wind farm system, with fault tolerant capabilities. In general, the use of purely nonlinear relations and analytic methods would require more complex design tools. The design is therefore enhanced by the use of fuzzy model prototypes obtained via a data-driven approach, thus representing the key point if real-time solutions have to implement the proposed fault tolerant control strategy. Finally, a high-fidelity simulator relying on a hardware-in-the-loop tool is exploited to verify and validate the reliability and robustness characteristics of the developed methodology also for on-line and more realistic implementations. Copyright (C) 2022 The Authors.