Multiple-Fault Detection Methodology Based on Vibration and Current Analysis Applied to Bearings in Induction Motors and Gearboxes on the Kinematic Chain
Gearboxes and induction motors are important components in industrial applications and their monitoring condition is critical in the industrial sector so as to reduce costs and maintenance downtimes. There are several techniques associated with the fault diagnosis in rotating machinery; however, vib...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2016-01-01
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| Series: | Shock and Vibration |
| Online Access: | http://dx.doi.org/10.1155/2016/5467643 |
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| author | Juan Jose Saucedo-Dorantes Miguel Delgado-Prieto Juan Antonio Ortega-Redondo Roque Alfredo Osornio-Rios Rene de Jesus Romero-Troncoso |
| author_facet | Juan Jose Saucedo-Dorantes Miguel Delgado-Prieto Juan Antonio Ortega-Redondo Roque Alfredo Osornio-Rios Rene de Jesus Romero-Troncoso |
| author_sort | Juan Jose Saucedo-Dorantes |
| collection | DOAJ |
| description | Gearboxes and induction motors are important components in industrial applications and their monitoring condition is critical in the industrial sector so as to reduce costs and maintenance downtimes. There are several techniques associated with the fault diagnosis in rotating machinery; however, vibration and stator currents analysis are commonly used due to their proven reliability. Indeed, vibration and current analysis provide fault condition information by means of the fault-related spectral component identification. This work presents a methodology based on vibration and current analysis for the diagnosis of wear in a gearbox and the detection of bearing defect in an induction motor both linked to the same kinematic chain; besides, the location of the fault-related components for analysis is supported by the corresponding theoretical models. The theoretical models are based on calculation of characteristic gearbox and bearings fault frequencies, in order to locate the spectral components of the faults. In this work, the influence of vibrations over the system is observed by performing motor current signal analysis to detect the presence of faults. The obtained results show the feasibility of detecting multiple faults in a kinematic chain, making the proposed methodology suitable to be used in the application of industrial machinery diagnosis. |
| format | Article |
| id | doaj-art-1d5fad042a754dc580834edf5be26b22 |
| institution | Kabale University |
| issn | 1070-9622 1875-9203 |
| language | English |
| publishDate | 2016-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Shock and Vibration |
| spelling | doaj-art-1d5fad042a754dc580834edf5be26b222025-02-03T05:44:30ZengWileyShock and Vibration1070-96221875-92032016-01-01201610.1155/2016/54676435467643Multiple-Fault Detection Methodology Based on Vibration and Current Analysis Applied to Bearings in Induction Motors and Gearboxes on the Kinematic ChainJuan Jose Saucedo-Dorantes0Miguel Delgado-Prieto1Juan Antonio Ortega-Redondo2Roque Alfredo Osornio-Rios3Rene de Jesus Romero-Troncoso4CA Mecatronica, Facultad de Ingenieria, Campus San Juan del Rio, Universidad Autónoma de Querétaro, Rio Moctezuma 249, Colonia San Cayetano, 76807 San Juan del Rio, QRO, MexicoTechnical University of Catalonia (UPC), Department of Electronic Engineering, MCIA Research Center, Rambla San Nebridi No. 22, Gaia Research Building, 08222 Terrassa, SpainTechnical University of Catalonia (UPC), Department of Electronic Engineering, MCIA Research Center, Rambla San Nebridi No. 22, Gaia Research Building, 08222 Terrassa, SpainCA Mecatronica, Facultad de Ingenieria, Campus San Juan del Rio, Universidad Autónoma de Querétaro, Rio Moctezuma 249, Colonia San Cayetano, 76807 San Juan del Rio, QRO, MexicoCA Procesamiento Digital de Señales, CA Telematica, Division de Ingenierias, Campus Irapuato-Salamanca, Universidad de Guanajuato, Carretera Salamanca-Valle km 3.5 + 1.8, Comunidad de Palo Blanco, 36700 Salamanca, GTO, MexicoGearboxes and induction motors are important components in industrial applications and their monitoring condition is critical in the industrial sector so as to reduce costs and maintenance downtimes. There are several techniques associated with the fault diagnosis in rotating machinery; however, vibration and stator currents analysis are commonly used due to their proven reliability. Indeed, vibration and current analysis provide fault condition information by means of the fault-related spectral component identification. This work presents a methodology based on vibration and current analysis for the diagnosis of wear in a gearbox and the detection of bearing defect in an induction motor both linked to the same kinematic chain; besides, the location of the fault-related components for analysis is supported by the corresponding theoretical models. The theoretical models are based on calculation of characteristic gearbox and bearings fault frequencies, in order to locate the spectral components of the faults. In this work, the influence of vibrations over the system is observed by performing motor current signal analysis to detect the presence of faults. The obtained results show the feasibility of detecting multiple faults in a kinematic chain, making the proposed methodology suitable to be used in the application of industrial machinery diagnosis.http://dx.doi.org/10.1155/2016/5467643 |
| spellingShingle | Juan Jose Saucedo-Dorantes Miguel Delgado-Prieto Juan Antonio Ortega-Redondo Roque Alfredo Osornio-Rios Rene de Jesus Romero-Troncoso Multiple-Fault Detection Methodology Based on Vibration and Current Analysis Applied to Bearings in Induction Motors and Gearboxes on the Kinematic Chain Shock and Vibration |
| title | Multiple-Fault Detection Methodology Based on Vibration and Current Analysis Applied to Bearings in Induction Motors and Gearboxes on the Kinematic Chain |
| title_full | Multiple-Fault Detection Methodology Based on Vibration and Current Analysis Applied to Bearings in Induction Motors and Gearboxes on the Kinematic Chain |
| title_fullStr | Multiple-Fault Detection Methodology Based on Vibration and Current Analysis Applied to Bearings in Induction Motors and Gearboxes on the Kinematic Chain |
| title_full_unstemmed | Multiple-Fault Detection Methodology Based on Vibration and Current Analysis Applied to Bearings in Induction Motors and Gearboxes on the Kinematic Chain |
| title_short | Multiple-Fault Detection Methodology Based on Vibration and Current Analysis Applied to Bearings in Induction Motors and Gearboxes on the Kinematic Chain |
| title_sort | multiple fault detection methodology based on vibration and current analysis applied to bearings in induction motors and gearboxes on the kinematic chain |
| url | http://dx.doi.org/10.1155/2016/5467643 |
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