International Conference on Machine Learning for Fault Diagnosis in Engineering - (ICMLFDE-26)


29th - 30th September, 2026 | Munich, Germany

Multi-format (In-person/Virtual)

Registration Options

Explore conference registration categories designed for every mode of participation.

Important Dates

Pre-registration Deadline

30th August, 2026

Paper Submission Deadline

4th September, 2026

Last Date Of Registration

14th September, 2026

Date Of Conference

29th - 30th September, 2026

Downloads

Call for Papers

The (ICMLFDE-26) is dedicated to advancing research excellence by bringing together leading scholars, scientists, and professionals from across the globe. It provides a platform for the dissemination of high-quality research and innovative methodologies.

With a strong focus on Data Science, the conference promotes research that contributes to academic depth, practical insights, and interdisciplinary knowledge integration.

Authors are invited to submit papers addressing, but not limited to, the following areas:

  • Machine learning for fault diagnosis
  • Predictive analytics in engineering systems
  • Challenges in fault diagnosis applications
  • Real-time monitoring for fault detection
  • Statistical methods for fault diagnosis
  • Impact of IoT on fault diagnosis
  • Data fusion techniques for diagnosis
  • Visualization of fault diagnosis results
  • Machine learning algorithms for fault detection
  • Future trends in fault diagnosis technology
  • Integration of diverse data sources
  • Ethical considerations in fault diagnosis
  • Adaptive fault diagnosis strategies using AI
  • Collaborative approaches to fault diagnosis
  • Benchmarking fault diagnosis models
  • User experience in fault diagnosis applications
  • Data-driven decision making in diagnostics
  • Machine learning frameworks for fault diagnosis
  • Applications of deep learning in diagnostics
  • Case studies in fault diagnosis success

Peer Review Process

All submissions will be evaluated through a structured peer-review process to ensure academic rigor and contribution to the field. Accepted papers will be presented and may be considered for publication in high-quality journals and indexed conference proceedings.

Registration Details

Secure your participation by completing the registration process at the earliest. Limited presentation slots are allocated on a first-come, first-served basis.

Publication Opportunities

High-quality submissions will be prioritized for publication opportunities in recognized journals and indexed proceedings.