In our last post, I touched on some negative factors which can lead to program failure. Today, let’s flip the script and take a look at three positive traits of successful predictive maintenance (PdM) programs.
As an organization’s predictive maintenance (PdM) program grows, limitations on manpower require the technicians and/or analysts to work more efficiently to monitor the growing list of critical equipment.
A client of ours had recurring issues with a rotary lobe vacuum blower. Initial collections of vibration data showed the machine in a stable condition with no notable issues. As the year went on, the machine’s condition steadily worsened.
Instituting a Predictive Maintenance (PdM) Program, ensures optimal uptime by periodically continually evaluating and monitoring the condition of your equipment and reporting it to you online in real time.
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Vibration analysis will provide a measure of asset health. This in turn will lead to increased reliability through early detection of machine faults.