Feature Mode Decomposition: New Decomposition Theory for Rotating Machinery Fault Diagnosis
Ningbo University of Technology · Beihang University
Abstract
In this article, a new decomposition theory, feature mode decomposition (FMD), is tailored for the feature extraction of machinery fault. The proposed FMD is essentially for the purpose of decomposing the different modes by the designed adaptive finite-impulse response (FIR) filters. Benefitting from the superiority of correlated Kurtosis, FMD takes the impulsiveness and periodicity of fault signal into consideration simultaneously. First, a designed FIR filter bank by Hanning window initialization is used to provide a direction for the decomposition. The period estimation and updating process are then used to lock the fault information. Finally, the redundant and mixing modes are removed in the process of…
Citation impact
- FWCI
- 44.03
- Percentile
- 100%
- References
- 30
Authors
5Topics & keywords
- Feature extraction
- Initialization
- Finite impulse response
- Pattern recognition (psychology)
- Fault (geology)
- Hilbert–Huang transform
- Control theory (sociology)
- Computer science