Estimating Average Power of Welding Process With Emitted Noises Based on Adaptive Neuro Fuzzy Inference System-Reference-Cited by-同舟云学术

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Estimating Average Power of Welding Process With Emitted Noises Based on Adaptive Neuro Fuzzy Inference System

Published:2023 Issue: Volume:11 Page:39154-39164
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Gokmen Gokhan¹^ORCID,Akinci Tahir Cetin²^ORCID,Kocyigit Gokhan³,Kiyak Ismail⁴^ORCID,Akbas M. Ilhan⁵^ORCID

Affiliation:

1. Department of Mechatronics Engineering, Faculty of Technology, Marmara University, Istanbul, Turkey

2. WCGEC, University of California at Riverside, Riverside, CA, USA

3. Department of Electrical and Electronics Engineering, Trakya University, Edirne, Turkey

4. Department of Electrical and Electronics Engineering, Faculty of Technology, Marmara University, Istanbul, Turkey

5. Department of Electrical Engineering and Computer Science, Embry-Riddle Aeronautical University, Daytona Beach, FL, USA

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10105274.pdf?arnumber=10105274

Reference44 articles.

1. Automatic weld type classification, tacked spot recognition and weld ROI determination for robotic welding based on modified YOLOv5

2. ANFIS and Deep Learning based missing sensor data prediction in IoT

3. Fatigue Life Improvement of Weld Beads with Overlap Defects Using Ultrasonic Peening

4. Prediction of Attendance Demand in European Football Games: Comparison of ANFIS, Fuzzy Logic, and ANN

5. An automatic identification method of welding current and voltage based on visual sensing technology

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