Multiple-Fault Detection Methodology Based on Vibration and Current Analysis Applied to Bearings in Induction Motors and Gearboxes on the Kinematic Chain

• Published in: Shock and vibration Vol. 2016; no. 2016; pp. 1 - 13
• Main Authors: Saucedo Dorantes, Juan Jose, Delgado Prieto, Miquel, Ortega Redondo, Juan Antonio, Osomio Rios, Alfredo, Romero Troncoso, Rene De Jesus
• Format: Journal Article Publication
• Language: English
• Published: Cairo, Egypt Hindawi Publishing Corporation 01.01.2016; John Wiley & Sons, Inc; Wiley
• Subjects: Bearings; Bearings (Machinery); Chains; Electric motors, Induction; Enginyeria mecànica; Fault location (Engineering); Faults; Gearboxes; Induction electric motors; Induction motors; Mechanical properties; Methodology; Methods; Motors; Motors elèctrics d'inducció; Observations; Vibration; Vibration analysis; Àrees temàtiques de la UPC
• ISSN: 1070-9622; 1875-9203
• DOI: 10.1155/2016/5467643

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.