Title :
Study on chemical process faults diagnosis based on fractal geometry
Author :
Chuang, Huang ; Hongbo, Shi
Author_Institution :
Inst. of Autom., East China Univ. of Sci. & Technol., Shanghai, China
Abstract :
Fractal geometry theory cooperated with wavelet transform and neural networks were applied to chemical process fault diagnosis in this contribution. The basic idea is to diagnose faults by comparing capacity dimensions of signal curves. The effectiveness of the proposed method was tested through the study on TE problem, and the simulation was developed. The results show that the capacity dimensions are similar when the faults belong to same kind and vice versa. Therefore capacity dimensions can be an important evidence to differentiate process faults.
Keywords :
chemical industry; fault diagnosis; fractals; neural nets; wavelet transforms; chemical process faults diagnosis; fractal geometry theory; neural networks; signal curves; wavelet transform; Automation; Chemical processes; Chemical technology; Electronic mail; Fault diagnosis; Fractals; Geometry; Neural networks; Testing; Wavelet transforms;
Conference_Titel :
Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on
Print_ISBN :
0-7803-8273-0
DOI :
10.1109/WCICA.2004.1340936
