Smart Machining Systems

Professor Kungpeng Zhu received his PhD from the National University of Singapore in 2007. He then worked as a postdoctoral research fellow at the same institution, until 2011, when he moved as an Alexander von Humboldt Fellow to the Institute of Automation and Information Systems at the Technical University of Munich. In 2013, he became a professor at the Institute of Advanced Manufacturing Technology of the Chinese Academy of Sciences, where he is currently employed. He is the associate editor of the IEEE/ASME Trans Mechatronics, IEEE Trans. Automation Science and Engineering, and ISA Transactions. His research interests include precision manufacturing, additive manufacturing and cyber-physical production systems.

• Part I: Fundamentals.- Chapter 1. Introduction.- Chapter 2. Modeling of Machining Process.- Chapter 3. Tool Wear Modelling.- Chapter 4. Mathematical Fundamentals of Condition Monitoring.- Chapter 5. Signal Processing for Condition Monitoring.- Chapter 6. The Framework of TCM from Machine Learning View.- Part II: Applications.- Chapter 7. Sensory Signal De-noising and Pre-processing.- Chapter 8. TCM with Sparse Decomposition.- Chapter 9. The Monitoring of Tool Conditions with Computer Vision.- Chapter 10. Diagnosis and Prognosis of Machining Degradation Process.- Chapter 11. Sensor Fusion Approached to TCM.- Chapter 12. Big Data Orientated CNC Machining TXM Monitoring System.- Chapter 13. CPPS Framework of Smart CNC Machining Monitoring System.