Submillimeter Acoustic Vibration Measurement and Monitoring Using a Single Smartphone

The accurate vibration measurement is crucial for monitoring and diagnosing industrial equipment. Existing solutions require either installing contact sensors on the equipment or using noncontact sensors such as laser. Both approaches involve complex deployment, stringent environmental conditions, and high cost. As a better alternative, we propose a submillimeter acoustic vibration measurement system using a single smartphone, called Mobile-Vib. First, we develop a novel acoustic ranging method that builds on traditional acoustic ranging techniques, incorporating the reflection principle of acoustic signals from vibrating objects. This approach addresses the challenge of acoustic signal refresh rate in vibration measurement by employing advanced signal design and processing techniques. Second, we design a noise removal algorithm utilizing the dual-channel technology of smartphones to minimize multipath signals and noise interference, enabling accurate phase estimation. To mitigate the impact of unrelated human motions in real-world measurements, we implement an optimization-based method to correct distortions and reduce errors. Finally, by clarifying the relationship between phase changes and actual displacement, we enable tracking of vibration displacement in industrial environments. We have implemented Mobile-Vib, and the extensive experimental results demonstrate an average error of approximately 0.629 mm in displacement estimation and 5.6 Hz in frequency estimation at a 1-m distance from the vibrating object in real industrial vibration monitoring scenarios.

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Publication Details

Journal
IEEE Transactions on Instrumentation and Measurement
Published
2025-01-01
DOI
https://doi.org/10.1109/tim.2025.3552861
Citations
3
Primary Topic
Speech and Audio Processing
Type
article
Field-Weighted Citation Impact
4.46

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article

Submillimeter Acoustic Vibration Measurement and Monitoring Using a Single Smartphone

Xinheng Wang, Guangyao Liu, Xiaofei Li, Zhi Wang et al.
3 citations
IEEE Transactions on Instrumentation and Measurement
Speech and Audio Processing
4.46
article

Submillimeter Acoustic Vibration Measurement and Monitoring Using a Single Smartphone

Xinheng Wang, Guangyao Liu, Xiaofei Li, Zhi Wang, Wenwu Wang, Peisong Li, Liu Yang
article en
3 citations

Abstract

The accurate vibration measurement is crucial for monitoring and diagnosing industrial equipment. Existing solutions require either installing contact sensors on the equipment or using noncontact sensors such as laser. Both approaches involve complex deployment, stringent environmental conditions, and high cost. As a better alternative, we propose a submillimeter acoustic vibration measurement system using a single smartphone, called Mobile-Vib. First, we develop a novel acoustic ranging method that builds on traditional acoustic ranging techniques, incorporating the reflection principle of acoustic signals from vibrating objects. This approach addresses the challenge of acoustic signal refresh rate in vibration measurement by employing advanced signal design and processing techniques. Second, we design a noise removal algorithm utilizing the dual-channel technology of smartphones to minimize multipath signals and noise interference, enabling accurate phase estimation. To mitigate the impact of unrelated human motions in real-world measurements, we implement an optimization-based method to correct distortions and reduce errors. Finally, by clarifying the relationship between phase changes and actual displacement, we enable tracking of vibration displacement in industrial environments. We have implemented Mobile-Vib, and the extensive experimental results demonstrate an average error of approximately 0.629 mm in displacement estimation and 5.6 Hz in frequency estimation at a 1-m distance from the vibrating object in real industrial vibration monitoring scenarios.

IEEE Transactions on Instrumentation and MeasurementVol. 74
University of Surrey (GB), Huzhou Normal University (CN), Westlake University (CN), Xi’an Jiaotong-Liverpool University (CN), Zhejiang University (CN)
National Key Research and Development Program of China
Affordable and clean energy
Openalex Percentile: Top 6%
Speech and Audio Processing
4.46
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