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ICPHM 2026 : IEEE International Conference on Prognostics and Health Management | |||||||||||||||
| Link: https://phmconf.org | |||||||||||||||
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Call For Papers | |||||||||||||||
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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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