| dc.contributor.author | Cruz-Rivero, Lidilia | |
| dc.contributor.author | Méndez-Hernández, María Leonor | |
| dc.contributor.author | Mar-Orozco, Carlos Eusebio | |
| dc.contributor.author | Aguilar Lasserre, Alberto Alfonso | |
| dc.contributor.author | Barbosa-Moreno, Alfonso | |
| dc.contributor.author | Sánchez-Escobar, Josué | |
| dc.date.accessioned | 2022-06-28T23:41:27Z | |
| dc.date.available | 2022-06-28T23:41:27Z | |
| dc.date.issued | 2022-02-20 | |
| dc.identifier.issn | 2073-8994 | |
| dc.identifier.other | https://doi.org/10.3390/sym14020421 | |
| dc.identifier.uri | http://repositorios.orizaba.tecnm.mx:8080/xmlui/handle/123456789/576 | |
| dc.description.abstract | This paper combines the use of two tools: Failure Mode and Effect Analysis (FMEA) and Fuzzy Logic (FL), to evaluate the functionality of a quantifier prototype of Methane gas (CH 4 ) and Carbon Dioxide (CO 2 ), developed specifically to measure the emissions generated by cattle. Unlike previously reported models for the same purpose, this device reduces damage to the integrity of the animal and does not interfere with the activities of livestock in their development medium. FMEA and FL are used to validate the device’s functionality, which involves identifying possible failure modes that represent a more significant impact on the operation and prevent the prototype from fulfilling the function for which it was created. As a result, this document presents the development of an intelligent fuzzy system type Mamdani, supported in the Fuzzy Inference System Toolbox of MatLabR2018b ® , for generating a risk priority index. A Fuzzy FMEA model was obtained to validate the prototype for measuring Methane and Carbon Dioxide emissions, which allows considering this prototype as a reliable alternative for the reliable measurement of these gases. This study was necessary as a complementary part in the validation of the design of the prototype quantifier of CH 4
and CO 2 emissions. The methods used (classic FMEA and Fuzzy FMEA) to evaluate the RPN show asymmetric graphs due to data disparity. Values in the classical method are mostly lower than the Mamdani model results due to the description of the criteria with which it is evaluated. | es |
| dc.description.sponsorship | CONACYT | es |
| dc.language.iso | en | es |
| dc.publisher | MDPI | es |
| dc.relation.ispartofseries | Symmetry; | |
| dc.subject | FMEA, Fuzzy Logic, greenhouse gases | es |
| dc.title | Functional Evaluation Using Fuzzy FMEA for a Non-Invasive Measurer for Methane and Carbone Dioxide | es |
| dc.type | Article | es |
