Monitoring Plant Piping Vibration through Spatial Frequency Distribution

In industrial plants, numerous pipelines experience vibrations due to internal flow, which vary in frequency depending on support conditions and faults. Monitoring pipe vibration is crucial for preventing accidents. Traditional sensors like accelerometers are impractical for simultaneous monitoring of multiple pipelines. This paper proposes a method using CCTV cameras to spatially visualize vibration frequency distributions. This technique processes video signals to display frequency distributions, similar to thermal cameras showing temperature distributions. Verification experiments demonstrated the method effectively identifies vibrating pipelines and their frequencies. The approach is limited by camera frame rates, making it suitable for low-frequency monitoring across multiple pipelines.

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Publication Details

Journal
Transactions of the Korean Society for Noise and Vibration Engineering
Published
2024-08-20
DOI
https://doi.org/10.5050/ksnve.2024.34.4.440
Primary Topic
Structural Health Monitoring Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

Monitoring Plant Piping Vibration through Spatial Frequency Distribution

Ji-Hyun Jun, Young‐Chul Choi, Byun-Young Chung
Transactions of the Korean Society for Noise and Vibration Engineering
Structural Health Monitoring Techniques
article

Monitoring Plant Piping Vibration through Spatial Frequency Distribution

Ji-Hyun Jun, Young‐Chul Choi, Byun-Young Chung
article en

Abstract

In industrial plants, numerous pipelines experience vibrations due to internal flow, which vary in frequency depending on support conditions and faults. Monitoring pipe vibration is crucial for preventing accidents. Traditional sensors like accelerometers are impractical for simultaneous monitoring of multiple pipelines. This paper proposes a method using CCTV cameras to spatially visualize vibration frequency distributions. This technique processes video signals to display frequency distributions, similar to thermal cameras showing temperature distributions. Verification experiments demonstrated the method effectively identifies vibrating pipelines and their frequencies. The approach is limited by camera frame rates, making it suitable for low-frequency monitoring across multiple pipelines.

Transactions of the Korean Society for Noise and Vibration EngineeringVol. 34(4)
National Research Foundation of Korea, Ministry of Science and ICT, South Korea
Climate action
Openalex Percentile: Top 84%
Structural Health Monitoring Techniques
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