This IBM® Redpaper™ 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.
Table of contents
Chapter 1. Introduction
Chapter 2. IBM Predictive Maintenance and Quality
Chapter 3. Solution architecture
Chapter 4. Master data loading
Chapter 5. Event mapping and processing
Chapter 6. Sensor analytics
Chapter 7. Maintenance analytics
Chapter 8. Integration analytics
Chapter 9. TopN Failure analytics
Chapter 10. Statistical process control support
Chapter 11. Inspection and warranty analytics
Chapter 12. Integrating IBM Maximo Asset Management
Chapter 13. Additional reports
Appendix A. Execution, training, and deployment of SPSS models