Organizer: Guo Yangming and Zhu Peican, Northwestern Polytechnical University, China
Session Description: The advent of big data produces strong impact even challenge with traditional techniques and models in test data acquisition, recording, transmitting and processing. How to effectively use the big data of complex system running state to analysis and management its “health”, is a new problem faced by PHM researchers. This special session focuses on recent development in this area. The topics include but are not limit to: 1. Physics Failure Analysis Using Big Data Technologies; 2. Statistical Analysis of Uncertainty Data; 3. Big Data Tools for Prognostics and System Health Management (PHM); 4. PHM System Based on Big Data Technologies; 5. Big Data-driven Prediction Methods for fault detection, diagnosis and prognosis; 6. Network Anomaly Prediction Method Based on Big Data.
Please submit your full paper on the submission website by deadline.
Guo Yangming and Zhu Peican, School of Computer Science and Technology, Reliability and Maintenance Research Laboratory, Northwestern Polytechnical University, China, firstname.lastname@example.org