Estimating Average Power of Welding Process With Emitted Noises Based on Adaptive Neuro Fuzzy Inference System
In this study, the average power consumption of an electrode welding machine during the welding process was estimated using the features of the sound emitted during welding. First, the instantaneous values of electrode current and voltage and the sound emitted during the welding process were recorde...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2023-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10105274/ |
| _version_ | 1797839218790105088 |
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| author | Gokhan Gokmen Tahir Cetin Akinci Gokhan Kocyigit Ismail Kiyak M. Ilhan Akbas |
| author_facet | Gokhan Gokmen Tahir Cetin Akinci Gokhan Kocyigit Ismail Kiyak M. Ilhan Akbas |
| author_sort | Gokhan Gokmen |
| collection | DOAJ |
| description | In this study, the average power consumption of an electrode welding machine during the welding process was estimated using the features of the sound emitted during welding. First, the instantaneous values of electrode current and voltage and the sound emitted during the welding process were recorded simultaneously. The minimum, maximum, average, root mean square (RMS), and energy values of the sound data were found and feature extraction was performed, and the instantaneous power and average power values were calculated using the instantaneous current and voltage values. Three Adaptive Neuro-Fuzzy Inference Systems (ANFIS) using the sound features as inputs and average power values as outputs were created, and their results were compared. The average power values consumed during the welding process have been successfully estimated at a rate of 87-95%. |
| first_indexed | 2024-04-09T15:54:34Z |
| format | Article |
| id | doaj.art-d36a51cff17f412f9ea690f222b1d630 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-04-09T15:54:34Z |
| publishDate | 2023-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-d36a51cff17f412f9ea690f222b1d6302023-04-25T23:00:51ZengIEEEIEEE Access2169-35362023-01-0111391543916410.1109/ACCESS.2023.326852510105274Estimating Average Power of Welding Process With Emitted Noises Based on Adaptive Neuro Fuzzy Inference SystemGokhan Gokmen0https://orcid.org/0000-0001-6054-5844Tahir Cetin Akinci1https://orcid.org/0000-0002-4657-6617Gokhan Kocyigit2Ismail Kiyak3https://orcid.org/0009-0008-9812-0495M. Ilhan Akbas4https://orcid.org/0000-0002-5450-3522Department of Mechatronics Engineering, Faculty of Technology, Marmara University, Istanbul, TurkeyWCGEC, University of California at Riverside, Riverside, CA, USADepartment of Electrical and Electronics Engineering, Trakya University, Edirne, TurkeyDepartment of Electrical and Electronics Engineering, Faculty of Technology, Marmara University, Istanbul, TurkeyDepartment of Electrical Engineering and Computer Science, Embry-Riddle Aeronautical University, Daytona Beach, FL, USAIn this study, the average power consumption of an electrode welding machine during the welding process was estimated using the features of the sound emitted during welding. First, the instantaneous values of electrode current and voltage and the sound emitted during the welding process were recorded simultaneously. The minimum, maximum, average, root mean square (RMS), and energy values of the sound data were found and feature extraction was performed, and the instantaneous power and average power values were calculated using the instantaneous current and voltage values. Three Adaptive Neuro-Fuzzy Inference Systems (ANFIS) using the sound features as inputs and average power values as outputs were created, and their results were compared. The average power values consumed during the welding process have been successfully estimated at a rate of 87-95%.https://ieeexplore.ieee.org/document/10105274/Weltersaverage poweremitted noiseneuro-fuzzy inferencedata acquisition |
| spellingShingle | Gokhan Gokmen Tahir Cetin Akinci Gokhan Kocyigit Ismail Kiyak M. Ilhan Akbas Estimating Average Power of Welding Process With Emitted Noises Based on Adaptive Neuro Fuzzy Inference System IEEE Access Welters average power emitted noise neuro-fuzzy inference data acquisition |
| title | Estimating Average Power of Welding Process With Emitted Noises Based on Adaptive Neuro Fuzzy Inference System |
| title_full | Estimating Average Power of Welding Process With Emitted Noises Based on Adaptive Neuro Fuzzy Inference System |
| title_fullStr | Estimating Average Power of Welding Process With Emitted Noises Based on Adaptive Neuro Fuzzy Inference System |
| title_full_unstemmed | Estimating Average Power of Welding Process With Emitted Noises Based on Adaptive Neuro Fuzzy Inference System |
| title_short | Estimating Average Power of Welding Process With Emitted Noises Based on Adaptive Neuro Fuzzy Inference System |
| title_sort | estimating average power of welding process with emitted noises based on adaptive neuro fuzzy inference system |
| topic | Welters average power emitted noise neuro-fuzzy inference data acquisition |
| url | https://ieeexplore.ieee.org/document/10105274/ |
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