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Bu çalışmada, endüstri ortamında talaşlı imalat yapan bir üretim tesisinde, torna operatörü olarak görev yapan bir insanın ses sinyallerinin, istenmeyen dış ortam kaynaklı seslerin filtrelenmesiyle ortaya çıkarılması ve operatör konuşma ses sinyallerinin netleştirilmesi sağlanmıştır. Çalışmada bir insanın konuşmasına ait ses sinyalleri mikrofon yardımıyla kaydedilmiş, kaydedilen konuşma ses sinyalleri üzerine Matlab ortamında torna sesinin ve ortam ses sinyallerinin benzetimi yapılarak eklenmiştir. Benzetimi yapılan gürültülü ses sinyalinde FFT işlemi yapılarak, operatör sesi ve diğer ortam seslerinin frekans spektrumları gözlenmiştir. Benzetimi yapılan ses sinyalinde dış ortam kaynaklı ses sinyallerinin frekans dalga boyları tespit edilmiştir. Gürültülü ses sinyalinden FIR band engelleyen filtre ve alçak geçiren filtre kullanılarak dış ortam sesleri filtrelenmiş ve operatör sesi net bir şekilde elde edilmiştir.
In this study, in a manufacturing facility that manufactures folders in an industrial environment, a man who serves as a turning operator has been shown to detect the sound signals by filtering the sound from the unwanted external environment and to clarify the operator's speaking sound signals. In the study, the sound signals of a person’s speech were recorded with the help of a microphone, and the recorded speech sound signals were added by making a comparison of the turn sound and the medium sound signals in the Matlab environment. By performing the FFT process in the sound signal made by the similarity, the frequency spectrum of the operator’s sound and other medium sounds was observed. In the sound signal similarity, the frequency wave lengths of the external medium-signals are detected. From the noise sound signal, using the FIR band blocking filter and the low-passing filter, the external environment sounds are filtered and the operator sound is clearly obtained.
In this study, it is aimed to reveal the sound signals of the lathe operator by filtering them from outside sounds and clarify the sound signals in a production plant that produces machining in the industrial environment. In the study, the audio signals of the speech of the lathe operator were recorded with the help of a microphone. On the recorded speech audio signals, lathe and ambient audio signals were created in Matlab environment and added. In Matlab environment, noisy sound signal simulation that includes operator and environment sounds is made. FFT operation was performed on the noisy sound signal and frequency spectra of operator sound and other ambient sounds were observed. Frequency wavelengths of noisy signals were determined in the simulated audio signal. Outside sounds are filtered using the FIR band stop filter and low pass filter from the noisy sound signal and the operator sound is obtained clearly.
Alan : Fen Bilimleri ve Matematik; Mühendislik
Dergi Türü : Uluslararası
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