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- Title
EEMD-based Adaptive Multi-scale Noise-controlled Stochastic Resonance for Mechanical Fault Diagnosis.
- Authors
Jimeng Li; Jinfeng Zhang; Yungang Zhang; Ping Xie
- Abstract
Effective extraction of weak features submerged in strong noise that are indicative of structural defects has remained a major challenge. Hence, an adaptive multi-scale noesecontrolled stochastic resonance (SR) method for mechanical fault diagnosis is proposed. This is accomplished by using the adaptive decomposition ability of ensemble empirical mode decomposition (EEMD) and the unique advantage of using SR method. EEMD can adaptively decompose the fault signals into different frequency bands and optimize the data analysis. Through EEMD the noise intensity of different scales can be adjusted to realize the SR detection of weak signals. The validity and practicability of the proposed method is verified by engineering applications.
- Subjects
MECHANICAL failures; STOCHASTIC resonance; NOISE control
- Publication
International Journal of COMADEM, 2017, Vol 20, Issue 2, p50
- ISSN
1363-7681
- Publication type
Article