Data Fusion Diagnose System Model and Application
Ke Chen · 2004
The problem of system fault diagnosis is the matter of multi-knowledge sources, which results in the wide refection of the states of system. In order to make a more accurate and more complete estimation and decision for the problem, the data fusion technology, with the capability to analyze and dispose the multi-knowledge sources, is adopted. Combining the data fusion technology with fault diagnosis theory, the theory based on the technology of data combination is developed and a DFFDSM was presented. There're three layers of the model: original data fusion layer, feature fusion layer and decision fusion layer. Each layer has its sub-layers. The first two layers primarily handle in advance and abstract the input information. The last layer makes the whole decision for the information with features. Two examples, the application of Bayes theory in DFFDSM and the space-time fusion method, illustrate that the DFFDSM is an adoptive one with clear and simple structures.