Month: September 2023

Dynamox’s solution identifies bearing housing defect 

The Dynamox solution was responsible for the early identification of a defect in the bearing housings of a modular vibrating screen.     Located at a client’s plant in Antônio Dias – MG, the vibrating screen is considered a critical asset for the production process and is therefore monitored by Dynamox’s wireless system.   At the end of… Continue reading Dynamox’s solution identifies bearing housing defect 

Dynamox identifies defect in conveyor tail pulley

Dynamox is a benchmark in the predictive maintenance process, offering a complete solution that helps maintenance teams guarantee safety, agility, and cost saving. Check out the impact of our technology: Using Dynamox’s wireless monitoring system, it was possible to identify an increase in vibration levels, which caused a defect in the tail pulley of a… Continue reading Dynamox identifies defect in conveyor tail pulley

Dynamox’s sensors identify failures in a conveyor belt pulley side frame

Dynamox’s technology once again proved effective in detecting failures in advance. This time, in identifying a problem in the pulley side frame, a complex component to analyze, in Vale‘s conveyor belts. Understand the process that led to problem identification and maintenance:  The following images show the Spectral Envelope graphs, including the circular waveform, before and… Continue reading Dynamox’s sensors identify failures in a conveyor belt pulley side frame

Dynamox identifies failure in paper machine dryer cylinder

The paper machine dryer cylinder is a very important asset in the production process, and it is monitored by Dynamox’s wireless sensors, together with the DynaDetect automated detection system. On April 5, there was an increase in the vibration level and DynaDetect identified a failure in the outer race of the bearing. After the scheduled… Continue reading Dynamox identifies failure in paper machine dryer cylinder

Complete guide to Predictive Maintenance in Industry 4.0

Predictive maintenance, as defined by the Brazilian standard ABNT NBR 5462, refers to a strategy that enables asset monitoring through systematic application of analysis techniques. It aims to minimize preventive interventions and reduce corrective actions by using centralized supervision or sampling methods. In essence, predictive maintenance is a data-driven approach that focuses on anticipating failures… Continue reading Complete guide to Predictive Maintenance in Industry 4.0