Dynamox
Os sensores Dynamox identificam defeito no mancal de uma peneira vibratória.

Dynamox identifies a defect in an Australian mining company’s vibrating screen  

Dynamox's sensors helped in the successful identification of a defect in the bearing housing of a vibrating screen.

Alisson Moura

1 min

Published on 10/02/2023

Updated on 10/28/2026

Dynamox’s sensors identified a defect in the bearing of a vibrating screen. On July 26, 2023, an A2 alert was issued on Dynamox’s Web Platform for an asset belonging to one of the world’s largest mining companies in Australia. Due to the location of the asset, it was difficult to get to it and install the sensors.  

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After the alert was issued, the Waveform Envelope and Spectral Envelope of the asset were analyzed, where it is possible to identify the defect in the bearing related to looseness due to inadequate interference between the bearing and housing and/or shaft.

Waveform Envelope and Spectral Envelope of the asset

Using the autocorrelation tool, 2 predominant points of looseness were visualized in the circular form with an offset of 180º.  

Waveform autocorrelation

After analyzing all the data provided by Dynamox’s solution, asset maintenance was carried out. The envelope waterfall shows that the graphs have returned to normal.  

Envelope waterfall

Did you like the content? You can find more cases like this on our blog, in the “success cases” section. You can also read: Dynamox’s solution identifies bearing housing defect. 

Alisson Moura

Alisson Moura

Especialista em aplicação de vendasDynamox109 posts
About

I have solid experience in industrial maintenance, with 15 years working in predictive maintenance across the most diverse segments of Brazilian industry; I have held every position related to predictive maintenance, starting as a data collection inspector and reaching Predictive Maintenance Specialist. A profile fully oriented toward Industry 4.0, Prescriptive Maintenance, and Reliability-Centered Maintenance. I currently work as an applications specialist on online asset monitoring projects using IoT technology, focused on increasing worker safety, reducing costs, and boosting productivity at companies across more than 40 countries.

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