Análise vibracional na indústria 4.0 por sensores conectados remotamente

Abstract

The electrical motors are present in vast number of industries worldwide, and maintaining the machinery’s health is fundamental to their production. This study aims to increase reliability of rotating equipment and reduce the losses due to production downtime or maintenance costs. Condition-based maintenance through vibration analysis is the adopted method to detect situations requiring intervention without the need for expensive tests or exams. The exhaust system is critical to the wood industry, given its demand when an entire sector is operational. Therefore, the study monitored its motors, reducing the risk to the financial results of the corporation. Remote monitoring allowed the maintenance team to be aware of the condition of this equipment, and Artificial Intelligence helped to alert if a failure mode appeared. The study revealed that remotely monitoring assets through vibration sensors is relevant and has great replicability for all critical assets in the industry.