Abstract
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.
Highlights
Fault diagnosis has great significance to support equipment for safe and reliable operation and reduce maintenance costs
To collect the Acoustic emission (AE) signals with the frequency range 100 kHz–1 MHz in practice, the special piezoelectric sensors, the advanced signal processing techniques, and the data analysis techniques are required, which partially limit the wide application of the AE technique [13]. e conventional acoustic-based diagnosis (ABD) technique usually adopts the microphones which are not in contact with the device to collect acoustic signals near the machine. e noncontact measurement, simple operation, and not affecting the normal operation of the equipment are the advantages of the ABD technique, and the sound signals can
Different from the previous signal analysis procedure in traditional ABD technology, the two-dimensional acoustic pressure distribution near the sound source of the machine is implemented according to the program of image recognition and classification, which is obtained by the array test and near-field acoustic holography (NAH)-imaging algorithm. is provides a new idea for ABD technique and has proven effectively in bearing fault diagnosis
Summary
Bearing Fault Diagnosis Based on Spatial Features of 2.5 Dimensional Sound Field. Received 4 October 2018; Revised 25 December 2018; Accepted 9 January 2019; Published 14 February 2019. Since its diagnosis robustness is sensitive to sound signal acquisition location, it develops slowly. To solve this problem, the 2dimensional (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. 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. E 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
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