Multi Heterogeneous Information Fusion to Facilitate Fault Diagnosis of Mechatronic Equipments

Abstract:

This paper describes a strategy for fault diagnosis of mechatronic equipments. The basic idea of information fusion is not only to take into account on-site sensor measurements, but also other factors that could potentially illustrate the essential course of an equipment's evolving faults. For example, these distributed factors might include components information, overhaul test results, usage data, expert experience, and others. Integrating the above produces a more refined diagnosis analysis compared to a local decision based on on-site information alone. However, measurements and other evidential contents were originally meant to serve different goals, i.e. the multi sources might be highly heterogeneous. To allow a unified representation we propose in this paper a formalization modeling based on ontology. Finally, we demonstrate the diagnostic synthesis process in terms of a certain information fusion method, i.e. Bayesian Network.

• Periodical: Applied Mechanics and Materials (Volumes 143-144)
• Pages: 703-706
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.143-144.703
• Online since: December 2011
• Authors: Li Jun Song, Zheng Hu
• Keywords: Fault Diagnosis, Heterogeneous Information, Information Fusion, Ontology

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