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ICPHM 2026 : IEEE International Conference on Prognostics and Health Management

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Link: https://phmconf.org
 
When Jun 1, 2026 - Jun 3, 2026
Where Toronto, Canada
Submission Deadline Mar 1, 2026
Notification Due Apr 3, 2026
Final Version Due Apr 15, 2026
Categories    predictive maintenance   prognostics   data mining   predictive analytics
 

Call For Papers

The 2026 IEEE International PHM Conference is the world's premiere forum for PHM and the only PHM conference financially sponsored by the IEEE. PHM is a wide-ranging, interdisciplinary field that requires an energized exchange of ideas. This conference will bring together world-class expertise in academia, engineering, and management disciplines to foster synergistic exchanges among academics and industry practitioners. Special attention is paid to ensuring a professional, sociable environment that encourages networking, forging new relationships, and deepening existing ones.

This year, ICPHM will highlight system reliability, asset lifespan, and advanced techniques across sectors, with a special emphasis on Al-driven PHM algorithms, validation strategies, and evaluation frameworks to ensure reliability, resilience, and trustworthiness across diverse applications.

This Year's Focus

Aerospace, Automotive, Energy, and Industrial Systems
PHM for Next-Generation Communication Networks (5G/6G)
PHM for Autonomous Vehicles, Smart Infrastructures, and IoT
Robotics, Electronics, and microelectronics Reliability
Cross-domain transferability and scalability of PHM algorithms
Benchmarking frameworks and standardized testbeds
AI-Centric PHM Systems
Explainable and Trustworthy PHM for Decision Support
Adaptive PHM Learning Architectures
Remaining Useful Life Estimation under Uncertainty
Data Fusion across Multimodal and Heterogeneous Sensors
Degradation modeling and health indicator extraction
Uncertainty quantification and risk-aware decision-making
Information Reliability

Product-Oriented Overviews of PHM Sensors, Techniques, Technology, and Methodologies

Applications of PHM in digital electronics, manufacturing, aerospace, military, green energy systems, LED lighting, etc.
Topics of interest include fault detection, diagnostics, prognostics, soft faults, intermittent failures, availability, and remaining useful life assessment.
Case studies, transitions from preventive to proactive maintenance, and system health assessment under complex life-cycle conditions are also welcome.

Product Applications

Aerospace & Military Systems
Automotive Electronics and Electrified Vehicles
Structural Health Monitoring and Nondestructive Evaluation (NDE/NDT)
Manufacturing Processes & Equipment Maintenance
Computer Industry, Data Centers, Cloud Computing
Wind Energy, Smart Grid, Renewable Energy Systems
Medical Equipment & Devices
Nuclear Power & Life-Extension Systems

Supporting Implementation Technologies

Financial Benefit / Return on Investment (ROI) and business case development for PHM systems
Logic, Algorithms & Reasoning Approaches: machine learning, physics-of-failure models, reasoning under uncertainty
Condition-Based Maintenance (CBM) and Predictive Maintenance (PdM)
Sensors, Wearables, “Canaries”, and data acquisition systems
Numerical Modeling, Physics-based methods, simulation & estimation of degradation
Standards, best practices, metrics, reliability, terminology, and definitions in PHM systems

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