Academic Journal

Classification of Belts Status Based on an Automatic Generator of Fuzzy Rules Base System

التفاصيل البيبلوغرافية
العنوان: Classification of Belts Status Based on an Automatic Generator of Fuzzy Rules Base System
المؤلفون: Graciliano Nicolás Marichal, Ángela Hernández, Deivis Ávila, Juan Carlos García-Prada
المصدر: Applied Sciences, Vol 14, Iss 5, p 1831 (2024)
بيانات النشر: MDPI AG, 2024.
سنة النشر: 2024
المجموعة: LCC:Technology
LCC:Engineering (General). Civil engineering (General)
LCC:Biology (General)
LCC:Physics
LCC:Chemistry
مصطلحات موضوعية: classification, vibration, genetic neuro-fuzzy, belts, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999
الوصف: The automation of maintenance is a growing field and consequently, predictive maintenance is achieving more importance. The main objective is to predict a breakage before it happens. In order to reach this, it is necessary to have an intelligent classification technique that analyzes the state of the key breakage elements and evaluates whether a replacement is necessary or not. This work presents a study to classify belts according to their state of use. For training, vibration data have been collected on a test bench using new belts, belts with half use and belts near the breaking point. The processing of these vibrations allows for extracting the characteristic parameters that can be related to its state of use, and then, after the initial analysis, these values are used as inputs for training the intelligent system. In particular, the Genetic Neuro-Fuzzy (GNF) technique has been chosen and, with the proposed algorithm, more detailed Fuzzy rules are obtained. Once the algorithm has been trained, it is possible to establish a relationship between the vibration shown by the belt and its state of use. The achieved results show that a good classifier has been built.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2076-3417
Relation: https://www.mdpi.com/2076-3417/14/5/1831; https://doaj.org/toc/2076-3417
DOI: 10.3390/app14051831
URL الوصول: https://doaj.org/article/86e941442b244265b01ee4d1bc0afd1c
رقم الانضمام: edsdoj.86e941442b244265b01ee4d1bc0afd1c
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:20763417
DOI:10.3390/app14051831