GOAL OF THE EVENT

The Prognostics and Health Management Society (PHM Society) is a non-profit organization dedicated to the advancement of PHM as an engineering discipline. It serves industry, academia, and government leaders in this international community.

We invite your participation, including submission of original papers and posters, for presentation at the 6^th European Conference of the PHM Society, June 28 – July 2, 2021.

Due to the current virus situation, the conference will be at least a virtual event (5 days, June 28 – July 2), building on our past success with 660 registrants for PHME20. Anticipating a safer situation by next summer we hope for a physical event in Turin Italy (3 days, June 30 – July 2).

We also have ideas for a contingency plan for local gatherings in major centres to facilitate building our community if meeting in Turin is not possible. These options will be pursued as the situation changes, but the virtual event is assured.

The PHME21 will bring together the community of PHM experts in diverse application areas such as energy, aerospace, transportation, automotive, and industrial automation.

The conference will highlight the broad aspects of Prognostics and Health Management across all disciplines, technologies, and levels. Past participants came from: Airbus, Baker-Hughes, Dutch Rail, ECA, GE, GM, Honeywell, Huawei, Hyundai, IFSTTAR, IK-4 Tekniker, Irish Rail, KEPCO, Linova, Lufthansa, Meggitt, Mercedes, Messier-Bugatti-Dowty, Mitsubishi, NI, Orsted, PARC, PREDICT, Prisma, PwC, Ricardo Rail, RK Diagnostics, Rolls Royce, Saab, Safran, Scania, SKF, Snecma, STMicroelectonics, Ureason and UTRC, and many universities and public sector organizations, like CNRS, DLR, EDF, GVB, Inria, IVHM Centre, KIMM, KITECH, NASA, NLR.

TOPICS OF INTEREST

Submissions are invited for papers for presentation and inclusion in the proceedings. Be part of an active network including students, managers, practitioners, and scientists from academia, government, and industry, from across the globe addressing the following topics:

PHM Design:

• Systems engineering aspects of PHM
• PHM related standards and methodologies
• PHM Design and PHM Architectures
• Uncertainty, Explainablility and Causal Inference
• Deep Learning/Machine Learning methods for PHM
• PHM at the Component/Sub-system/System level

PHM Development:

• Physics of failure for anomaly detection, diagnostics and prognostics
• Fault-adaptive control methods
• Prognostics sensors and detection
• Fault detection and prognostics of MEMS
• Model-based diagnostics
• Data-driven, model-based and hybrid prognostics
• Condition-based and predictive maintenance technologies
• Software and hardware for PHM
• Degradation modelling

PHM Applications:

• Asset health management
• Structural health management
• PHM for electronics and electrical engineering systems and plants
• PHM in Cyber-Physical Systems
• Cost Benefit and Return-on-Investment analysis
• PHM for Automotive, Rail, Marine, Wind and Energy
• PHM for Manufacturing (Production planning and Control)
• Deployed applications and success stories