Open AccessApplication of fractal theory in fault diagnosis of nonlinear mechanical equipment system: a review
Author(s) -
Xiaolu Hou,
X Wang
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1009/1/012024
Subject(s) - fractal , fault (geology) , nonlinear system , computer science , fractal dimension , process (computing) , object (grammar) , artificial intelligence , control engineering , engineering , mathematics , physics , mathematical analysis , quantum mechanics , seismology , geology , operating system
Fractal theory takes the irregular and complex things as the research object, and uses the fractal dimension to describe the object. The review classifies and summarizes the application development of fractal theory in the diagnosis of common nonlinear mechanical equipment system faults such as diesel engines, gear boxes, hydraulic systems, etc. It is showed that fractal theory can extract and analyse irregular features and simplify complex research. It has certain advantages among various methods and is gradually being widely used. It provides a new reference and idea for the future research direction after fully understanding its current status and summarizing its characteristics. At present, most of the research on fault diagnosis of mechanical equipment is based on the signals under steady running state, while ignoring the transitional signals with high information content. Fractal theory has unique advantages in dealing with this kind of transitional signals such as the start and shutdown of equipment. It is a new trend to solve practical problems that study the short-time signals at transition process with strong non-linearity based on fractal theory to diagnose the fault of the mechanical equipment.