Title :
The Application of Stochastic Resonance Driven by Two-Frequency Signals for Detecting Incipient Fault of Rotor System
Author :
Zhang, Meili ; Lin, Min
Author_Institution :
Coll. of Metrol. Technol. & Eng., China Jiliang Univ., Hangzhou, China
Abstract :
Noise is the main factor influencing incipient rotor machine failure detection. The weak characteristic signal of fault detected from strong noise is devoted to important attention by the incipient fault diagnosis field in machine. To detect the weak characteristic signal of fault from strong noise, the relationship between the parameters of the control signal and the amplitude of the bistable system output is analyzed. The method of detecting weak signal from noise based on stochastic resonance (SR) driven by two-frequency signals is proposed. The method is applied to detect incipient fault of rotor system. The simulation and experiment results showed that the method is feasible in the application of incipient fault diagnosis in machine.
Keywords :
acoustic noise; acoustic signal detection; condition monitoring; fault diagnosis; rotors; incipient fault detection; incipient fault diagnosis; noise; rotor machine; signal detection; stochastic resonance; Fault diagnosis; Frequency control; Noise; Resonant frequency; Stochastic resonance; Strontium; Time domain analysis; fault diagnosis; stochastic resonance; two-frequency signals; weak signal detection;
Conference_Titel :
Chaos-Fractals Theories and Applications (IWCFTA), 2011 Fourth International Workshop on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4577-1798-7
DOI :
10.1109/IWCFTA.2011.54