Technique for Defining the Optimal Parameters of Moving Window at Vibration Accelerometer Signal Processing
This paper presents a technique for defining the optimal parameters of a moving window when processing the signal of a vibration accelerometer installed on a ball drum mill as part of the automation system. Time series signals of the vibration acceleration have been synthesized based on the experime...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Lviv Polytechnic National University
2024-12-01
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| Series: | Energy Engineering and Control Systems |
| Subjects: | |
| Online Access: | https://science.lpnu.ua/jeecs/all-volumes-and-issues/volume-10-number-2-2024/technique-defining-optimal-parameters-moving |
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| _version_ | 1849434194151735296 |
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| author | Roman Fedoryshyn Vasyl Lymych Volodymyr Zagraj Oleh Masniak |
| author_facet | Roman Fedoryshyn Vasyl Lymych Volodymyr Zagraj Oleh Masniak |
| author_sort | Roman Fedoryshyn |
| collection | DOAJ |
| description | This paper presents a technique for defining the optimal parameters of a moving window when processing the signal of a vibration accelerometer installed on a ball drum mill as part of the automation system. Time series signals of the vibration acceleration have been synthesized based on the experimental data of frequency spectrums with the application of the inverse Fourier transform. The lower and upper limits for the moving window size have been defined. The frequency spectrum for the time series signal within the moving window has been built by means of the fast Fourier transform method. An optimality criterion has been proposed. This criterion considers the quality of the derived frequency spectrum and the computational resources of the microprocessor system needed for processing the vibration accelerometer signal. The optimal duration of the moving window for the analyzed example is 100 ms. The impact of the time signal sampling rate on the frequency spectrum shape has been studied. |
| format | Article |
| id | doaj-art-6b9b0226f3194d3d9ae0dbc6ccd15308 |
| institution | Kabale University |
| issn | 2411-8028 2415-7287 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Lviv Polytechnic National University |
| record_format | Article |
| series | Energy Engineering and Control Systems |
| spelling | doaj-art-6b9b0226f3194d3d9ae0dbc6ccd153082025-08-20T03:26:44ZengLviv Polytechnic National UniversityEnergy Engineering and Control Systems2411-80282415-72872024-12-0110214215210.23939/jeecs2024.02.142Technique for Defining the Optimal Parameters of Moving Window at Vibration Accelerometer Signal ProcessingRoman Fedoryshyn0Vasyl Lymych1Volodymyr Zagraj2Oleh Masniak3Lviv Polytechnic National UniversityLviv Polytechnic National UniversityTechprylad LLCLviv Polytechnic National UniversityThis paper presents a technique for defining the optimal parameters of a moving window when processing the signal of a vibration accelerometer installed on a ball drum mill as part of the automation system. Time series signals of the vibration acceleration have been synthesized based on the experimental data of frequency spectrums with the application of the inverse Fourier transform. The lower and upper limits for the moving window size have been defined. The frequency spectrum for the time series signal within the moving window has been built by means of the fast Fourier transform method. An optimality criterion has been proposed. This criterion considers the quality of the derived frequency spectrum and the computational resources of the microprocessor system needed for processing the vibration accelerometer signal. The optimal duration of the moving window for the analyzed example is 100 ms. The impact of the time signal sampling rate on the frequency spectrum shape has been studied.https://science.lpnu.ua/jeecs/all-volumes-and-issues/volume-10-number-2-2024/technique-defining-optimal-parameters-movingvibration accelerometerfourier transformfrequency spectrumtime series signalball drum mill |
| spellingShingle | Roman Fedoryshyn Vasyl Lymych Volodymyr Zagraj Oleh Masniak Technique for Defining the Optimal Parameters of Moving Window at Vibration Accelerometer Signal Processing Energy Engineering and Control Systems vibration accelerometer fourier transform frequency spectrum time series signal ball drum mill |
| title | Technique for Defining the Optimal Parameters of Moving Window at Vibration Accelerometer Signal Processing |
| title_full | Technique for Defining the Optimal Parameters of Moving Window at Vibration Accelerometer Signal Processing |
| title_fullStr | Technique for Defining the Optimal Parameters of Moving Window at Vibration Accelerometer Signal Processing |
| title_full_unstemmed | Technique for Defining the Optimal Parameters of Moving Window at Vibration Accelerometer Signal Processing |
| title_short | Technique for Defining the Optimal Parameters of Moving Window at Vibration Accelerometer Signal Processing |
| title_sort | technique for defining the optimal parameters of moving window at vibration accelerometer signal processing |
| topic | vibration accelerometer fourier transform frequency spectrum time series signal ball drum mill |
| url | https://science.lpnu.ua/jeecs/all-volumes-and-issues/volume-10-number-2-2024/technique-defining-optimal-parameters-moving |
| work_keys_str_mv | AT romanfedoryshyn techniquefordefiningtheoptimalparametersofmovingwindowatvibrationaccelerometersignalprocessing AT vasyllymych techniquefordefiningtheoptimalparametersofmovingwindowatvibrationaccelerometersignalprocessing AT volodymyrzagraj techniquefordefiningtheoptimalparametersofmovingwindowatvibrationaccelerometersignalprocessing AT olehmasniak techniquefordefiningtheoptimalparametersofmovingwindowatvibrationaccelerometersignalprocessing |