Condition Monitoring Algorithms in MATLAB®

Introduction.- Principles of condition monitoring systems.- Vibration components generated by rotary machinery.- Signal processing algorithms.- Vibration-based condition assessment methods.- Synthetic signals generation methods.- Simulating operational signals.- Simulating long-term machine fault development.- Analysis of long-term fault development.- Connecting MATLAB® to CMS.- Development of interface for direct data access (DDA).- Prototype tools.

Adam Jablonski is a lecturer in the Department of Robotics and Mechatronics of the Faculty of Mechanical Engineering and Robotics at the AGH University of Science and Technology in Krakow, Poland. He has been also working in the industry. After few years of experience as a diagnostic engineer, he became a senior research analyst in the field of condition monitoring systems of rotary machinery. He developed numerous pioneering signal processing methods, including Protrugram, ICPCP (patent No. PL223044B1 upgraded to ICPCM), a method for automatic validation of vibration signals and a model-based threshold configuration in distributed CMS, among others. He graduated from Central Texas College (USA) with Highest Honors (2004), and from AGH University of Science and Technology (Bachelor - 2006, Master - 2008, PhD - 2013). He is the author of nearly one hundred publications in the field of condition monitoring systems, signal processing, and machine diagnostics. He received the Polish Prime Minister Scientific Award in 2014, and won the Outstanding Young Scientists competition of the Polish Ministry of Science and Higher Education in 2013. Since 2018, he has been a Member of the Board of Directors (International Liaison) of the Society for Machinery Failure Prevention Technology (MFPT). He is also an active peer reviewer in the field of measurement and a member of the MathWorks® Book Program.