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Description
Proposed Design Synopsis: A collection of assets are sending telemetry data to gauge the health of the assets (vibrations, temperature, voltage, ...). This data is monitored by a control systems which sends notifications and alerts to a maintenance supervisor. For a preventive maintenance scenario threshold based comparison is used to send alerts to a maintenance supervisor for further human analysis and scheduling labor work to perform maintenance. For a predictive maintenance scenario, a machine algorithm is used to predict failure in the future; other 3rd party sources of data are integrated to retrieve past historical failure and service records. For a prescriptive maintenance scenario, the control system integrates with 3rd party applications to schedule the labor and order new parts automatically.