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Adi Winarta, Adi
Jurusan Teknik Mesin, Politeknik Negeri Bali
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Journal : International Journal of Electrical and Computer Engineering

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Enhancing the accuracy of low-cost thermocouple devices through deep-wavelet neural network calibration Julian, James; Wahyuni, Fitri; Dewantara, Annastya Bagas; Winarta, Adi; Putra, Nandy
International Journal of Electrical and Computer Engineering (IJECE) Vol 14, No 3: June 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v14i3.pp2625-2633

Abstract

Data collection using thermocouple sensors in low-cost data acquisition is prone to noise interference, which could reduce the data quality. Noise sources such as cold junction compensators, electromagnetic interference, and Johnson noise can significantly affect the reliability and accuracy of conventional measurements. This study aims to improve the quality of thermocouple sensor readings on low-cost data acquisition using calibration method based on deep learning and the denoising process using a wavelet transform. This taken approach successfully increase the accuracy value of 97.67% with a mean absolute error (MAE) of 0.2. The precision also increases of 262.7% as indicated by the result of signal-to-noise ratio (SNR) with a value of 105.29 dB. Comparative analysis was carried out against National Instruments® device and it was found that deep-wavelet method had a lower and higher of MAE and SNRdB values of 16.67% and 0.8% respectively. This study shows that the denoising-calibration method with deep-wavelet can improve the accuracy and reliability of data from low-cost thermocouple devices.
Co-Authors Anggie Topan Wijaya DaudSimon Annakotapary Dewantara, Annastya Bagas Elvi Ermadani Fathin Madhudhu Fitri Wahyuni Fitri Wahyuni Fitri Wahyuni I Gusti Agung Oka Sudiadnyani I Nyoman Agus Adi Saputra I Wayan Sutina I Wayan, Marlon Managi James Julian Luh Putu Ike Midiani Muhammad Amin Nandy Putra Nandy Putra Riki Purba Tulus Hidayat Yusanto