Condition Monitoring, Condition Based Maintenance (CBM), and Reliability programs rely on a wide range of Big Data. Implementation of a Condition Monitoring program in the Era of the Industrial Internet of Things (IIoT) requires automation of inspection data collection from sensors, existing systems, and from humans. The planning stage of an IIoT implementation is critical to a successful CBM/IIoT implementation. Planning elements include an understanding of asset failure modes, communications infrastructure, integration points of systems that must talk with one another, analytics that can make sense of all the data, training of personnel, and dashboards that display the metrics and key performance indicators and illustrate the business benefits achieved from the efforts.
We are exposed to many CBM-IIoT efforts, most of which focus on the benefits of the efforts. Understanding the expected benefits and goals of the CBM-IIoT effort is just one of the elements of a successful implementation. Most of the effort lies in planning the implementation details of the CBM-IIoT system, where many of the details are obscure. Starting with a small asset scope, thinking big with respect to business benefits, and scaling quickly is a trusted approach in the CBM-IIoT application space.
This presentation introduces the planning steps for a CBM-IIoT implementation with examples and lessons learned. Examples and lessons are drawn from a series of CBM-IIoT efforts, some that have struggled, and some that have been very successful.
