Fault diagnosis of rolling element bearings from current and vibration measurements
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Abstract
As rolling element bearings are used in many rotary machines, it is crucial to monitor their response in order to apply condition-based maintenance. One of the main tasks consists in carrying out the diagnosis process, i.e., to do fault detection, localization and identification. Thus, the replacement of rolling element bearings can be done once the diagnosis process gives relevant information that is not only valid for maintenance purposes, but also to design purposes when the causes of the faults appearing in the system are analysed. There are many ways to study the state of these components, which vary from vibration analysis until acoustic emissions, through current or thermal analysis, among others.
In this work the vibrational response of rolling element bearings as well as the current of the motor that drives the motion of these components are analysed. A test rig consisting of a drive motor, a couple of gearboxes and a load motor is used. Damaged bearings have been used in the first gearbox, in such a way that their response is studied and compared to that of a healthy bearing. Some indicators are extracted from both the vibration and current signals that can be used for diagnosis purposes. Moreover, the effect of other factors such as the size of the damage or the position of the damaged zone on the vibrational and electrical response is also studied.
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condition monitoring, bearing fault detection, Industry 4.0
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