Bearing Fault Diagnosis Based on Spatial Features of 2.5 Dimensional Sound Field Article Swipe

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Junjian Hou , Jun Ma , Zhanpeng Fang , Wuyi Ming , Wenbin He ·

YOU? · · 2019 · Open Access · · DOI: https://doi.org/10.1155/2019/4678491

The traditional acoustic‐based diagnosis (ABD) technique based on single‐channel testing has a significant engineering value. Since its diagnosis robustness is sensitive to sound signal acquisition location, it develops slowly. To solve this problem, the 2‐dimensional (2D) sound field variation near the machine is adopted for diagnosis by the near‐field acoustic holography (NAH)‐ based fault diagnosis method with array measurement. However, its performance is limited due to the neglect of the sound field normal change information. To dig the sound field fault information further, a 2.5‐dimensional (2.5D) acoustic field diagnosis method is presented in this paper and its performance compared with the 2D technology is verified by the bearing diagnostic test. Different from the 2D technique with only one source image, the 2.5D acoustic field model consists of source image, holographic sound image, and the differences between them, and its effective feature model is constructed by Gabor wavelet feature extraction and random forest feature reduction algorithm. The diagnostic effect of the 2.5D technique compared with the 2D technique increases more than 11% in the bearing diagnostic test. It provides new ideas for the development of the NAH‐based fault diagnosis method, and further improves the ABD technique‐based array measurement.

Related Topics

Computer Science

Fault (Geology)

Bearing (Angle)

Artificial Intelligence

Concepts

Acoustic holography Robustness (evolution) Feature extraction Computer science Fault (geology) Feature (linguistics) Wavelet Bearing (navigation) Artificial intelligence Acoustics Field (mathematics) Pattern recognition (psychology) Holography Engineering Computer vision Geology Mathematics Gene Chemistry Linguistics Pure mathematics Physics Optics Seismology Biochemistry Philosophy

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Type: article
Language: en
Landing Page: https://doi.org/10.1155/2019/4678491
PDF: https://downloads.hindawi.com/journals/sv/2019/4678491.pdf
OA Status: gold
Cited By: 13
References: 29
Related Works: 10
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DOI: https://doi.org/10.1155/2019/4678491

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Title: Bearing Fault Diagnosis Based on Spatial Features of 2.5 Dimensional Sound Field

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Language: en

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Publication year: 2019

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Publication date: 2019-01-01

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Authors: Junjian Hou, Jun Ma, Zhanpeng Fang, Wuyi Ming, Wenbin He

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Landing page: https://doi.org/10.1155/2019/4678491

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PDF URL: https://downloads.hindawi.com/journals/sv/2019/4678491.pdf

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Concepts: Acoustic holography, Robustness (evolution), Feature extraction, Computer science, Fault (geology), Feature (linguistics), Wavelet, Bearing (navigation), Artificial intelligence, Acoustics, Field (mathematics), Pattern recognition (psychology), Holography, Engineering, Computer vision, Geology, Mathematics, Gene, Chemistry, Linguistics, Pure mathematics, Physics, Optics, Seismology, Biochemistry, Philosophy

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Cited by: 13

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Citations by year (recent): 2025: 5, 2024: 3, 2023: 1, 2022: 1, 2021: 1

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