Fabric filters are essential in various industrial processes, but their location makes visual and auditory inspections challenging. How can maintenance teams effectively detect failures and act proactively before problems escalate?
Predictive Maintenance for Fabric Filters via IoT
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Approach
We use IoT technology to investigate current and vibration for the performance and health of the fabric filter. Where traditional methods fall short due to the limitations of human perception or one-time measurements, our technology fills the gap by continuously “seeing” and “hearing” what human teams cannot.
Our sensors continuously measure current and vibration levels at specific locations. By using advanced data analysis, we can identify patterns that indicate possible wear, blockages or other problems, long before they become noticeable to the human ear or eye.
In this case we have created a customized monitoring solution. Read how we work
Result
This technology allows maintenance teams to gain insights into the operations of their installations where this was not possible before. If applied correctly, this can save major costs associated with outages and unplanned stops. It is the first step towards predictive maintenance.
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Dent IoT is part of the RDM Family:
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