Discrete probability model-based method for recognition of multicomponent combustible gas explosion hazard sources
Aiming at the problems of poor sensitivity and low accuracy of traditional combustible gas explosion hazard identification methods, the discrete probability model was introduced to design a multicomponent combustible gas explosion hazard identification method. Fem3 model is selected to analyze the d...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
De Gruyter
2022-03-01
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| Series: | High Temperature Materials and Processes |
| Subjects: | |
| Online Access: | https://doi.org/10.1515/htmp-2021-0052 |
| _version_ | 1811236603520090112 |
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| author | Ye Wenhua Feng Yang Chen Yangming |
| author_facet | Ye Wenhua Feng Yang Chen Yangming |
| author_sort | Ye Wenhua |
| collection | DOAJ |
| description | Aiming at the problems of poor sensitivity and low accuracy of traditional combustible gas explosion hazard identification methods, the discrete probability model was introduced to design a multicomponent combustible gas explosion hazard identification method. Fem3 model is selected to analyze the diffusion mode of multicomponent combustible gas, and the calculation formula of diffusion velocity is obtained. The explosion limit of multicomponent combustible gas was observed by means of test, and the upper limit of explosion concentration of multicomponent combustible gas was obtained. According to the characteristics of explosion, a multicomponent combustible gas explosion hazard identification device is designed. The discrete probability model is used to identify the explosion hazard of multicomponent combustible gas. Experimental results show that the proposed method greatly improves the recognition sensitivity and accuracy, which fully shows that the proposed method has a better detection effect. |
| first_indexed | 2024-04-12T12:11:54Z |
| format | Article |
| id | doaj.art-f63979dd1a8b4d9dab1fa96bca2da1b6 |
| institution | Directory Open Access Journal |
| issn | 2191-0324 |
| language | English |
| last_indexed | 2024-04-12T12:11:54Z |
| publishDate | 2022-03-01 |
| publisher | De Gruyter |
| record_format | Article |
| series | High Temperature Materials and Processes |
| spelling | doaj.art-f63979dd1a8b4d9dab1fa96bca2da1b62022-12-22T03:33:34ZengDe GruyterHigh Temperature Materials and Processes2191-03242022-03-01411163010.1515/htmp-2021-0052Discrete probability model-based method for recognition of multicomponent combustible gas explosion hazard sourcesYe Wenhua0Feng Yang1Chen Yangming2Department of mechanical and Electronic Engineering, School of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, 210016, ChinaDepartment of mechanical and Electronic Engineering, School of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, 210016, ChinaDepartment of mechanical and Electronic Engineering, School of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, 210016, ChinaAiming at the problems of poor sensitivity and low accuracy of traditional combustible gas explosion hazard identification methods, the discrete probability model was introduced to design a multicomponent combustible gas explosion hazard identification method. Fem3 model is selected to analyze the diffusion mode of multicomponent combustible gas, and the calculation formula of diffusion velocity is obtained. The explosion limit of multicomponent combustible gas was observed by means of test, and the upper limit of explosion concentration of multicomponent combustible gas was obtained. According to the characteristics of explosion, a multicomponent combustible gas explosion hazard identification device is designed. The discrete probability model is used to identify the explosion hazard of multicomponent combustible gas. Experimental results show that the proposed method greatly improves the recognition sensitivity and accuracy, which fully shows that the proposed method has a better detection effect.https://doi.org/10.1515/htmp-2021-0052discrete probability modelmulticomponentcombustible gasexplosionhazard source |
| spellingShingle | Ye Wenhua Feng Yang Chen Yangming Discrete probability model-based method for recognition of multicomponent combustible gas explosion hazard sources High Temperature Materials and Processes discrete probability model multicomponent combustible gas explosion hazard source |
| title | Discrete probability model-based method for recognition of multicomponent combustible gas explosion hazard sources |
| title_full | Discrete probability model-based method for recognition of multicomponent combustible gas explosion hazard sources |
| title_fullStr | Discrete probability model-based method for recognition of multicomponent combustible gas explosion hazard sources |
| title_full_unstemmed | Discrete probability model-based method for recognition of multicomponent combustible gas explosion hazard sources |
| title_short | Discrete probability model-based method for recognition of multicomponent combustible gas explosion hazard sources |
| title_sort | discrete probability model based method for recognition of multicomponent combustible gas explosion hazard sources |
| topic | discrete probability model multicomponent combustible gas explosion hazard source |
| url | https://doi.org/10.1515/htmp-2021-0052 |
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