Acceleration enveloping is an analysis method for the early detection of malfunctions that generate repetitive impacts due to metal-to-metal contact. The method is commonly used to diagnose developing bearing and gear faults. This text aims to demonstrate the benefits of acceleration enveloping by using real-life machinery data. Interested readers may refer to the white papers and articles available online to get more details about the technical background of acceleration enveloping. An important point that needs to be highlighted is that the vibration velocity and enveloped acceleration data are not alternative to each other but complementary for successful machinery diagnostics. As the enveloped acceleration data is adopted for the early detection of bearings and gear faults, vibration velocity is useful to detect various malfunctions over a wide range of machinery operating speeds.

Industrial Internet of Things (IIoT) finds many application fields today in the industry by connecting assets to each other, gathering data, and transferring it to other internet-enabled systems. One area that is transformed significantly with IIoT technologies is predictive maintenance, which is a technique to predict when an asset might fail by analyzing the parameters related to the asset's health status. Compared with conventional preventive maintenance, predictive maintenance offers minimized unplanned downtimes and reduced maintenance costs for critical assets, such as gearboxes, pumps, fans, and electrical motors.