Hierarchical Concept Graph Model for Measurement Signal Analysis

It is crucial for an instrumentation to have an efficient method of measurement signal analysis. Especially there are multiple sensors in the instrumentation, i.e. the multi-sensor information fusion. In recent years, we intend to discover a new method of multi-source massive data analysis. Based on the research of Formal Concept Analysis theory, we proposed the Hierarchical Concept Graph Model for massive data analysis. In this paper, we briefed the theory of Formal Concept Analysis and Hierarchical Concept Graph Model, and then we represented the result of the application about our theory in massive dataset analysis. The result of our former research has demonstrated that our theory has the potential to be applied in measurement signal analysis.