Español
Autoclaves are vital equipment in the hospital sterilization processes. They are so important in any hospital center that a failure in the equipment can result in the total suspension of surgical activity, as they represent the main tool when it comes to prevent the spread of infections to which med...
- Autores:
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2023
- Institución:
- Universidad Católica de Pereira
- Repositorio:
- Repositorio Institucional - RIBUC
- Idioma:
- spa
- OAI Identifier:
- oai:repositorio.ucp.edu.co:10785/13723
- Acceso en línea:
- https://revistas.ucp.edu.co/index.php/entrecienciaeingenieria/article/view/2880
http://hdl.handle.net/10785/13723
- Palabra clave:
- Rights
- openAccess
- License
- Derechos de autor 2023 Entre Ciencia e Ingeniería
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Identificación de Fallas en bombas de vacío mediante sonido |
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Autoclaves are vital equipment in the hospital sterilization processes. They are so important in any hospital center that a failure in the equipment can result in the total suspension of surgical activity, as they represent the main tool when it comes to prevent the spread of infections to which medical procedures are exposed [1]. Vacuum pumps are essential elements in the operation of autoclaves, since a successful sterilization process depends on their performance. This article intends to introduce a method to automatically detect the failure condition of an autoclave's vacuum pump, based on the characteristics of the acoustic signal produced by the equipment during its operation. Initially, the acoustic signals emitted by the pump in both normal and failure conditions were captured. The results obtained by different signal analysis methods were compared, and it was determined which of them ended up being more suitable in order to perform a diagnosis of the equipment's operating condition. The results obtained showed that, in order to identify the specific type of failure analyzed, the analysis within the time domain ended up being more suitable than the analysis within the frequency domain. Finally, an algorithm that detects the presence or absence of water in the vacuum pump of the autoclave was obtained. |
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2023 |
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2023-08-29T03:49:44Z |
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2023-08-29T03:49:44Z |
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2023-07-04 |
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Artículo de revista |
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http://purl.org/coar/resource_type/c_2df8fbb1 |
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http://purl.org/coar/resource_type/c_6501 |
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http://purl.org/coar/version/c_970fb48d4fbd8a85 |
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https://revistas.ucp.edu.co/index.php/entrecienciaeingenieria/article/view/2880 10.31908/19098367.2880 |
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http://hdl.handle.net/10785/13723 |
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https://revistas.ucp.edu.co/index.php/entrecienciaeingenieria/article/view/2880 http://hdl.handle.net/10785/13723 |
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spa |
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https://revistas.ucp.edu.co/index.php/entrecienciaeingenieria/article/view/2880/2616 |
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Derechos de autor 2023 Entre Ciencia e Ingeniería https://creativecommons.org/licenses/by-nc/4.0/deed.es_ES |
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https://creativecommons.org/licenses/by-nc/4.0/deed.es_ES |
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application/pdf |
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Universidad Católica de Pereira |
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Entre ciencia e ingeniería; Vol 17 No 33 (2023); 24-30 |
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Entre Ciencia e Ingeniería; Vol. 17 Núm. 33 (2023); 24-30 |
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Entre ciencia e ingeniería; v. 17 n. 33 (2023); 24-30 |
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2539-4169 1909-8367 |
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Universidad Católica de Pereira |
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Repositorio Institucional de la Universidad Católica de Pereira - RIBUC |
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2023-08-29T03:49:44Z2023-08-29T03:49:44Z2023-07-04https://revistas.ucp.edu.co/index.php/entrecienciaeingenieria/article/view/288010.31908/19098367.2880http://hdl.handle.net/10785/13723Autoclaves are vital equipment in the hospital sterilization processes. They are so important in any hospital center that a failure in the equipment can result in the total suspension of surgical activity, as they represent the main tool when it comes to prevent the spread of infections to which medical procedures are exposed [1]. Vacuum pumps are essential elements in the operation of autoclaves, since a successful sterilization process depends on their performance. This article intends to introduce a method to automatically detect the failure condition of an autoclave's vacuum pump, based on the characteristics of the acoustic signal produced by the equipment during its operation. Initially, the acoustic signals emitted by the pump in both normal and failure conditions were captured. The results obtained by different signal analysis methods were compared, and it was determined which of them ended up being more suitable in order to perform a diagnosis of the equipment's operating condition. The results obtained showed that, in order to identify the specific type of failure analyzed, the analysis within the time domain ended up being more suitable than the analysis within the frequency domain. Finally, an algorithm that detects the presence or absence of water in the vacuum pump of the autoclave was obtained.Las autoclaves son equipos fundamentales en los procesos de esterilización hospitalaria, y son tan importantes en un centro hospitalario que una falla en el equipo puede ocasionar la suspensión total de la actividad quirúrgica, ya que constituyen la principal herramienta en la prevención de la propagación de las infecciones a las que están expuestos los procedimientos médicos [1]. Un elemento vital en la operación de una autoclave es su bomba de vacío, pues de su desempeño depende el éxito del proceso de esterilización. En el presente artículo, se presenta un método para detectar automáticamente el estado de falla de la bomba de vacío de una autoclave a partir de las características de la señal sonora producida por el equipo durante su operación. Inicialmente, se capturaron las señales sonoras emitidas por la bomba tanto en condición normal como en condición de falla, se compararon los resultados obtenidos por diferentes métodos de análisis de las señales, y se determinó cuál de ellos resultó más adecuado para hacer un diagnóstico del estado de operación del equipo, los resultados obtenidos mostraron que, para identificar el tipo particular de falla analizado, el análisis en el dominio del tiempo resultó más adecuado que el análisis en el dominio de la frecuencia. Finalmente, se obtuvo un algoritmo que detecta la presencia o ausencia de agua en la bomba de vacío de la autoclave.application/pdfspaUniversidad Católica de Pereirahttps://revistas.ucp.edu.co/index.php/entrecienciaeingenieria/article/view/2880/2616Derechos de autor 2023 Entre Ciencia e Ingenieríahttps://creativecommons.org/licenses/by-nc/4.0/deed.es_EShttps://creativecommons.org/licenses/by-nc/4.0/deed.es_ESinfo:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Entre ciencia e ingeniería; Vol 17 No 33 (2023); 24-30Entre Ciencia e Ingeniería; Vol. 17 Núm. 33 (2023); 24-30Entre ciencia e ingeniería; v. 17 n. 33 (2023); 24-302539-41691909-8367EspañolIdentificación de Fallas en bombas de vacío mediante sonidoArtículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1http://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionPadilla Aguilar, Jhon JairoRestrepo Agudelo, RaúlMayorga, Jann NicolásPublication10785/13723oai:repositorio.ucp.edu.co:10785/137232025-01-27 18:59:05.924https://creativecommons.org/licenses/by-nc/4.0/deed.es_ESDerechos de autor 2023 Entre Ciencia e Ingenieríametadata.onlyhttps://repositorio.ucp.edu.coRepositorio Institucional de la Universidad Católica de Pereira - RIBUCbdigital@metabiblioteca.com |