Sensor Fusion for Fault Detection and Classification in Distributed Physical Processes

@article{Sarkar2014SensorFF,
  title={Sensor Fusion for Fault Detection and Classification in Distributed Physical Processes},
  author={Soumalya Sarkar and Soumik Sarkar and Nurali Virani and Asok Ray and Murat Yasar},
  journal={Front. Robotics and AI},
  year={2014},
  volume={2014}
}

• Soumalya Sarkar, Soumik Sarkar, +2 authors Murat Yasar
• Published 2014 in Front. Robot. AI
• DOI:10.3389/frobt.2014.00016

*Correspondence: Soumik Sarkar , Department of Mechanical Engineering, The Iowa State University Ames, IA 50011, USA e-mail: [e-mail] This paper proposes a feature extraction and fusion methodology to perform fault detection and classification in distributed physical processes generating heterogeneous data. The underlying concept is built upon a semantic framework for multi-sensor data interpretation using graphical models of Probabilistic Finite State Automata (PFSA). While the… CONTINUE READING

Save to Library

Create Alert

Cite

View via Publisher