5th Sensors Webinar
Machine Health Monitoring and Fault Diagnosis Techniques
Dear Ladies and Gentlemen, Friends, and Colleagues,
We look forward to welcoming you in this webinar entitled “Machine Health Monitoring and Fault Diagnosis Techniques”.
Machine health monitoring is a scorching topic for monitoring machine health conditions, and it helps machines being operated in a safe, economic-saving environment and help plants improve their manufacturing efficiency. Condition monitoring and fault diagnosis techniques provide a guarantee to evaluate machine health conditions. Besides, artificial intelligence algorithms, such as machine learning, deep learning, and transfer learning, are becoming increasingly important to automatically handle and analyze big sensor data and interpret what big sensor data tell us about machine health conditions.
Recently, with a rapid development of advanced artificial intelligence techniques and increasing demands for monitoring machine health conditions with state-of-art AI techniques, diagnostic network structures to handle sensor data, new opportunities, and cutting-edge research have emerged in AI-based machine diagnosis, prognosis, as well as health management.
Today, we are pleased to introduce two recognized experts. Prof. Tangbin Xia at Shanghai Jiao Tong University, whose major research areas are intelligent machine fault diagnosis, intelligent manufacturing system, quality and reliability engineering. Prof. Xiang Li at Xi’an Jiaotong University, whose major research areas include machine learning, fault diagnosis, deep learning, and transfer learning. Prof. Xia and Prof. Li will give us two excellent and attractive talks about advances in Machine Health Monitoring and Fault Diagnosis Techniques in the MDPI Sensors webinar.
Date: 10 August 2022
Time: 3:00 pm CEST | 9:00 am EDT | 9:00 pm CST Asia
Webinar ID: 819 0423 9471
Webinar Secretariat: sensors.webinar@mdpi.com