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Article

IoT System for Detecting the Condition of Rotating Machines Based on Acoustic Signals

1
Faculty of Electrical Engineering Podgorica, University of Montenegro, 81000 Podgorica, Montenegro
2
School of Electrical Engineering, University of Belgrade, 11000 Belgrade, Serbia
*
Author to whom correspondence should be addressed.
Academic Editor: Sławomir K. Zieliński
Appl. Sci. 2022, 12(9), 4385; https://doi.org/10.3390/app12094385
Received: 28 March 2022 / Revised: 22 April 2022 / Accepted: 24 April 2022 / Published: 26 April 2022
Modern predictive maintenance techniques have been significantly improved with the development of Industrial Internet of Things solutions which have enabled easier collection and analysis of various data. Artificial intelligence-based algorithms in combination with modular interconnected architecture of sensors, devices and servers, have resulted in the development of intelligent maintenance systems which outperform most traditional machine maintenance approaches. In this paper, a novel acoustic-based IoT system for condition detection of rotating machines is proposed. The IoT device designed for this purpose is mobile and inexpensive and the algorithm developed for condition detection consists of a combination of discrete wavelet transform and neural networks, while a genetic algorithm is used to tune the necessary hyperparameters. The performance of this system has been tested in a real industrial setting, on different rotating machines, in an environment with strong acoustic pollution. The results show high accuracy of the algorithm, with an average F1 score of around 0.99 with tuned hyperparameters. View Full-Text
Keywords: acoustic signals; classification; condition detection; IoT; neural networks; rotary machines acoustic signals; classification; condition detection; IoT; neural networks; rotary machines
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MDPI and ACS Style

Radonjić, M.; Vujnović, S.; Krstić, A.; Zečević, Ž. IoT System for Detecting the Condition of Rotating Machines Based on Acoustic Signals. Appl. Sci. 2022, 12, 4385. https://doi.org/10.3390/app12094385

AMA Style

Radonjić M, Vujnović S, Krstić A, Zečević Ž. IoT System for Detecting the Condition of Rotating Machines Based on Acoustic Signals. Applied Sciences. 2022; 12(9):4385. https://doi.org/10.3390/app12094385

Chicago/Turabian Style

Radonjić, Milutin, Sanja Vujnović, Aleksandra Krstić, and Žarko Zečević. 2022. "IoT System for Detecting the Condition of Rotating Machines Based on Acoustic Signals" Applied Sciences 12, no. 9: 4385. https://doi.org/10.3390/app12094385

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