This IBMAr RedpaperTM publication updated technical overview provides essential details about the data processing steps, message flows, and analytical models that power IBM Predictive Maintenance and Quality (PMQ) Version 2.0. The new version of PMQ builds on the first one, released in 2013, to help companies efficiently monitor and maintain production assets and improve their overall availability, utilization, and performance. It analyzes various types of data to detect failure patterns and poor quality parts earlier than traditional quality control methods, with the goal of reducing unscheduled asset downtime and improving quality metrics. Version 2.0 includes an improved method of interacting with the solution's analytic data store using an API from the new Analytics Solution Foundation, a reusable, configurable, and extensible component that supports a number of the solution's analytic functions. The new version also changes the calculation of profiles and KPIs, which is now done using orchestrations that are defined in XML. This updated technical overview provides details about these new orchestration definitions.Master data includes information such as the list of monitored devices (for example, transformers) and their locations. ... Master data can be edited using IBM Master Data Management, or you can use a program such as Microsoft Excel to edit it directly. ... includes measurement types to identify the kinds of observation values present in an event, such as temperature, humidity, or electrical current load.
|Title||:||IBM Predictive Maintenance and Quality 2.0 Technical Overview|
|Author||:||Vrunda Negandhi, Lakshminarayanan Sreenivasan, Randy Giffen, Mohit Sewak, Amaresh Rajasekharan, IBM Redbooks|
|Publisher||:||IBM Redbooks - 2015-06-29|