ResNet diagnosis of rotor faults in oil transfer pumps.

Autor:	Chen L; Research Center of Fluid Machinery Engineering and Technology, Jiangsu University, Zhenjiang, Jiangsu, 212013, China., Dong L; Research Center of Fluid Machinery Engineering and Technology, Jiangsu University, Zhenjiang, Jiangsu, 212013, China., Wu ZC; Research Center of Fluid Machinery Engineering and Technology, Jiangsu University, Zhenjiang, Jiangsu, 212013, China., Fan CH; Research Center of Fluid Machinery Engineering and Technology, Jiangsu University, Zhenjiang, Jiangsu, 212013, China., Shi WH; Wuhan Second Ship Design & Research Institute, Wuhan, 430060, China., Li HG; Wuhan Second Ship Design & Research Institute, Wuhan, 430060, China., Hua RN; Wuhan Second Ship Design & Research Institute, Wuhan, 430060, China., Dai C; School of Energy and Power Engineering, Jiangsu University, Zhenjiang, Jiangsu, 212013, China.
Jazyk:	angličtina
Zdroj:	Heliyon [Heliyon] 2024 Aug 14; Vol. 10 (16), pp. e36170. Date of Electronic Publication: 2024 Aug 14 (Print Publication: 2024).
DOI:	10.1016/j.heliyon.2024.e36170
Abstrakt:	To address rotor imbalance and misalignment in oil transfer pumps, an innovative diagnostic framework using Residual Network (ResNet) is proposed. The model incorporates advanced signal processing algorithms and strategic sensor placement to enhance diagnostic efficacy. A fault simulation test rig captured vibration signals from eight key measurement points on the pump. One-dimensional and multi-dimensional signal processing techniques generated comprehensive datasets for training and validating the model. Sensor placement optimization, focusing on the bearing seat's axial direction, inlet flange's vertical direction, and outlet flange's axial direction, increased rotor fault sensitivity. Time-frequency data processed via Short-Time Fourier Transform (STFT) achieved the highest diagnostic accuracy, surpassing 98 %. This study highlights the importance of optimal signal processing and precise sensor placement in improving the accuracy of diagnosing rotor faults in oil transfer pumps, thus enhancing the operational reliability and efficiency of energy transportation systems. Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. (© 2024 The Authors. Published by Elsevier Ltd.)
Databáze:	MEDLINE
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