Publication: Estimating Average Power of Welding Process With Emitted Noises Based on Adaptive Neuro Fuzzy Inference System
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Institute of Electrical and Electronics Engineers (IEEE)
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Abstract
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%.
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IEEE Access
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OPEN
Keywords
Technology, Artificial intelligence, data acquisition, Sinyal İşleme, Mühendislik, Engineering, neuro-fuzzy inference, Materials science, Helium, Engineering, Information Systems, Communication and Control Engineering, Welters, Emitted Noise, General Materials Science, Welding, Engineering, electrical & electronic, Computer Sciences, Elektrik ve Elektronik Mühendisliği, General Engineering, Data Acquisition, Physical Sciences, Information and computing sciences, Engineering and Technology, Bilgisayar Bilimi, Electrical engineering. Electronics. Nuclear engineering, Bilgi Sistemleri, Haberleşme ve Kontrol Mühendisliği, Average Power, General Computer Science, Tungsten, Neuro-Fuzzy Inference, average power, Fuzzy Logic, Genel Mühendislik, Artificial Intelligence, Information and Computing Sciences, Bilgisayar Bilimleri, Electrical and Electronic Engineering, Engineering, Computing & Technology (ENG), Genel Bilgisayar Bilimi, Electrodes, Data acquisition, Mühendislik, Bilişim ve Teknoloji (ENG), Computer science, Wires, TK1-9971, Fuzzy logic, Fizik Bilimleri, Signal Processing, Genel Malzeme Bilimi, Mühendislik, elektrik ve elektronik, Mühendislik ve Teknoloji, emitted noise, Malzeme Bilimi