Open AccessRotating equipment fault noise location based on adaptive beamforming algorithm
Author(s) -
Yongshao Xu,
Bingzheng Liu,
Haotian Shang,
Mingduo Wang
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2113/1/012042
Subject(s) - fault (geology) , microphone , noise (video) , beamforming , signal (programming language) , vibration , adaptive beamformer , computer science , generator (circuit theory) , state (computer science) , engineering , acoustics , electronic engineering , algorithm , electrical engineering , artificial intelligence , power (physics) , loudspeaker , physics , quantum mechanics , seismology , geology , image (mathematics) , programming language
Rotating machinery often produces continuous impact during operation due to the change of load and speed, which shows the characteristics of unsteady state and time-varying. Its working state can not be comprehensively judged by a single vibration state parameter. Therefore, this paper proposes to use acoustic sensors to collect the fault noise signal of rotating machinery, and use the whole column of sensors to detect the fault noise signal. Based on the microphone array, this paper studies the adaptive beamforming algorithm (MVDR) to locate the fault source of rotating machinery in space. The effect of fault source location is verified by simulation and equipment measurement experiments. The acoustic sensor does not in contact with the equipment, which will not damage the generator set, but also provide more effective information for fault source location and fault diagnosis and analysis.