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.

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