Paul A Krajewski

Title: Paul A. Krajewski and Data-Driven System Change Identification.

Introduction

Paul A. Krajewski is an inventor associated with Troy, Michigan, and General Motors Global Technology Operations, Inc. His patent work addresses data-driven methods for identifying system changes and adjusting monitored systems in response.

Latest Patents

Krajewski is named on 1 patent, titled “Data-Driven Approach for Effective System Change Identification.” The invention describes a control system that tracks parameters in a monitored system and identifies performance changes and system changes during training and after training. It uses training data to construct a classifier that estimates possible system changes and their probabilities. The system then evaluates those possibilities alongside observed changes to identify effective system changes and their probabilities. Finally, it uses the results to control an actuator and adjust monitored-system parameters.

Career Highlights

The patent reflects an approach to system monitoring that combines data collection, change identification, classification, and actuator control. By using probability values to assess potential changes, the system is designed to support informed adjustments to the monitored system.

Collaborations

Krajewski’s listed coworkers include Shengbing Jiang and Yilu Zhang. The patent information connects his work with General Motors Global Technology Operations, Inc.

Conclusion

Paul A. Krajewski’s patent focuses on using data and classification to identify effective system changes and guide adjustments, highlighting his contribution to monitored-system control technology.