A Data-Driven Fault Detection Toolbox Based On Matlab Guide

Current industrial system develops more and more complex and intelligent, whose safety and reliability relies on fault diagnosis technology. In the age of big-data, data-driven fault diagnosis becomes the state of the art, and the demand for the diagnostic toolbox also increases. In this paper, theories of data-driven fault detection models, both static model and dynamic, are revealed. And then a data-driven fault diagnosis toolbox is designed based on MATLAB/GUIDE. In the end, the toolbox, as well as the theories, is validated by a simulation study on three water tank system.