A Novel Parameter Measurement Method for DBD-Type Ozone Generators Based on Image Processing.
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| Title: | A Novel Parameter Measurement Method for DBD-Type Ozone Generators Based on Image Processing. |
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| Authors: | Tang, Xiongmin1 (AUTHOR) tangxm@gdut.edu.cn, Liang, Tao1 (AUTHOR), Zhou, Yiping1 (AUTHOR), Li, Xuecong1 (AUTHOR), Zhang, Miao1 (AUTHOR) |
| Source: | Ozone: Science & Engineering. Sep/Oct2025, Vol. 47 Issue 5, p447-459. 13p. |
| Subjects: | Ozone generators, Image processing, Parameterization, Curve fitting, Signal denoising, Clustering algorithms, Lissajous' curves, Electric capacity |
| Abstract: | When Lissajous images of DBD(Dielectric Barrier Discharge)-type ozone generators contain substantial noise, the traditional manual fitting method is usually inefficient. It is still a challenge to obtain the information under these conditions. To address these issues, a novel parameter measurement method for DBD-type ozone generators based on image processing is presented in this paper. The DBSCAN (Density-Based Spatial Clustering of Applications with Noise) clustering algorithm is used to denoise Lissajous figures. Key corner points are extracted, and an initial quadrilateral is constructed through linear fitting. To further improve fitting accuracy, some new datasets are selected from the initially constructed quadrilateral for secondary fitting. The results obtained with the proposed method are generally consistent with those obtained from the traditional manual fitting method. Additionally, the results indicate that the proposed method has excellent adaptability for different shapes of Lissajous figures. The proposed method offers a novel approach for calculating key parameters of DBD-type ozone generators, including the equivalent capacfitance, the discharge-sustaining voltage, and the discharge energy per cycle. [ABSTRACT FROM AUTHOR] |
| Copyright of Ozone: Science & Engineering is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Header | DbId: egs DbLabel: Engineering Source An: 188122222 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: A Novel Parameter Measurement Method for DBD-Type Ozone Generators Based on Image Processing. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Tang%2C+Xiongmin%22">Tang, Xiongmin</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> tangxm@gdut.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Liang%2C+Tao%22">Liang, Tao</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhou%2C+Yiping%22">Zhou, Yiping</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Li%2C+Xuecong%22">Li, Xuecong</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhang%2C+Miao%22">Zhang, Miao</searchLink><relatesTo>1</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Ozone%3A+Science+%26+Engineering%22">Ozone: Science & Engineering</searchLink>. Sep/Oct2025, Vol. 47 Issue 5, p447-459. 13p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Ozone+generators%22">Ozone generators</searchLink><br /><searchLink fieldCode="DE" term="%22Image+processing%22">Image processing</searchLink><br /><searchLink fieldCode="DE" term="%22Parameterization%22">Parameterization</searchLink><br /><searchLink fieldCode="DE" term="%22Curve+fitting%22">Curve fitting</searchLink><br /><searchLink fieldCode="DE" term="%22Signal+denoising%22">Signal denoising</searchLink><br /><searchLink fieldCode="DE" term="%22Clustering+algorithms%22">Clustering algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Lissajous'+curves%22">Lissajous' curves</searchLink><br /><searchLink fieldCode="DE" term="%22Electric+capacity%22">Electric capacity</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: When Lissajous images of DBD(Dielectric Barrier Discharge)-type ozone generators contain substantial noise, the traditional manual fitting method is usually inefficient. It is still a challenge to obtain the information under these conditions. To address these issues, a novel parameter measurement method for DBD-type ozone generators based on image processing is presented in this paper. The DBSCAN (Density-Based Spatial Clustering of Applications with Noise) clustering algorithm is used to denoise Lissajous figures. Key corner points are extracted, and an initial quadrilateral is constructed through linear fitting. To further improve fitting accuracy, some new datasets are selected from the initially constructed quadrilateral for secondary fitting. The results obtained with the proposed method are generally consistent with those obtained from the traditional manual fitting method. Additionally, the results indicate that the proposed method has excellent adaptability for different shapes of Lissajous figures. The proposed method offers a novel approach for calculating key parameters of DBD-type ozone generators, including the equivalent capacfitance, the discharge-sustaining voltage, and the discharge energy per cycle. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Ozone: Science & Engineering is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/01919512.2025.2476719 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 13 StartPage: 447 Subjects: – SubjectFull: Ozone generators Type: general – SubjectFull: Image processing Type: general – SubjectFull: Parameterization Type: general – SubjectFull: Curve fitting Type: general – SubjectFull: Signal denoising Type: general – SubjectFull: Clustering algorithms Type: general – SubjectFull: Lissajous' curves Type: general – SubjectFull: Electric capacity Type: general Titles: – TitleFull: A Novel Parameter Measurement Method for DBD-Type Ozone Generators Based on Image Processing. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Tang, Xiongmin – PersonEntity: Name: NameFull: Liang, Tao – PersonEntity: Name: NameFull: Zhou, Yiping – PersonEntity: Name: NameFull: Li, Xuecong – PersonEntity: Name: NameFull: Zhang, Miao IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 09 Text: Sep/Oct2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 01919512 Numbering: – Type: volume Value: 47 – Type: issue Value: 5 Titles: – TitleFull: Ozone: Science & Engineering Type: main |
| ResultId | 1 |
