Application of Fault Detection Based on Variable Precision Rough Sets

Abstract:

A VPRS (Variable Precision Rough Sets) data model is created according to measured signals collected from the bridge erecting machine safety monitoring system, and the signals acquired from many different sensors are theoretically deduced and discussed on this model. Combining with classificatory error parameter and approximate dependence degree, the relationship between signals and noises is analyzed to fulfill Multi-sensor Information Fusion theory. Finally the order of validity about the multi-sampling points is obtained, which can used to direct localization of sensors.

• Periodical: Applied Mechanics and Materials (Volumes 241-244)
• Pages: 328-331
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.241-244.328
• Online since: December 2012
• Authors: Na Chen*, Shao Pu Yang, Cun Zhi Pan
• Keywords: Approximate Dependence Degree, Classificatory Error Parameter, Safety Monitoring, Variable Precision Rough Set (VPRS)

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