Figure 4: IPF-Curve. (Image source: STMicroelectronics)
transmitted to a cloud processing center where all the data from multiple pieces of equipment is collected and analyzed. At some point after the installation and during the operation of the machine, the condition of the machine starts to change. It is critical to have all the required sensors installed to collect data on ultrasound and audible noise,
vibration, power consumption, temperature, and any potential smoke. As time passes, the necessity of collecting machine parameters and sensor data becomes critical to monitor the health of the machine. Figure 4 depicts the typical Installation and Point of Failure (IPF) curve of a machine that is being monitored. The time from
the machine condition change to the final failure may take months or even years before it starts to show symptoms of failure. Early analysis of the sensor data can give an indication of the machine health and trained AI algorithms using sensor data as input can predict a failure and initiate the process of taking the necessary actions.
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