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Open AccessArticle

Evaluation of Current Signature in Bearing Defects by Envelope Analysis of the Vibration in Induction Motors

1
Institute of System Engineering and Information Technology, Itajuba Federal University, Itajuba 37500-903, Brazil
2
Gnarus Institute, Itajuba 37500-052, Brazil
3
Norte Energia, Altamira 70760-776, Brazil
*
Author to whom correspondence should be addressed.
Energies 2019, 12(21), 4029; https://doi.org/10.3390/en12214029
Received: 11 September 2019 / Revised: 14 October 2019 / Accepted: 18 October 2019 / Published: 23 October 2019
(This article belongs to the Special Issue Condition Monitoring and Diagnosis of Electrical Machines)
Motor current signature analysis (MCSA) enables non-invasive monitoring, without interruption of machine operation in a remote and online way, allowing the identification of various types of faults of electrical and mechanical nature without the need of accessing the motor itself, but only its supply cables. Despite its advantages, it has limitations in accurately diagnosing incipient roller bearing faults. For the detection of incipient roller bearing faults, envelope analysis of vibration signals is a well-known and stablished technique used by motor condition monitoring experts for a long time, overcoming MCSA for that purpose. Thus, it is proposed in this paper, that the fault characteristic frequencies of roller bearings are identified in the current spectrum with the aid of envelope analysis on the bearing vibration signal. After this aided identification, the fault related spectral components in the current spectrum can be correctly tracked over time for trending evaluation and decision-making. This approach can represent a significant economic value in a motor condition monitoring program, since vibration envelope analysis is performed only at a first step and, after that, its results can be applied for the MCSA monitoring of all same-model motor drivers in an industrial site. This approach is even more valuable considering the concept of the Self-Supplied Wireless Current Transducer (SSWCT) also proposed in this paper. The SSWCT is an Industrial Internet of Things (IIOT) device for MCSA application in an Industry 4.0 environment. This proposed device has wireless communication interface and wireless/battery less power supply, being supplied by the energy harvested from the magnetic field of the same currents it is transducing. So, it is a completely galvanic isolated monitoring device, without batteries and without any electric connections to the industry electric system, easily installable to the motor cables, not using precious space in the electric panels of the motor control centers and not having any physical contact to the monitored asset. View Full-Text
Keywords: condition monitoring; self-supplied wireless current transducer; motor current signature analysis; predictive maintenance; induction motors condition monitoring; self-supplied wireless current transducer; motor current signature analysis; predictive maintenance; induction motors
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MDPI and ACS Style

Areias, I.A.S.; Borges da Silva, L.E.; Bonaldi, E.L.; de Lacerda de Oliveira, L.E.; Lambert-Torres, G.; Bernardes, V.A. Evaluation of Current Signature in Bearing Defects by Envelope Analysis of the Vibration in Induction Motors. Energies 2019, 12, 4029.

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