Feature mode decomposition (FMD)
FMD uses the machinery fault feature, i.e. impulsiveness and periodicity of the signal, as the decomposition objective.
You are now following this Submission
- You will see updates in your followed content feed
- You may receive emails, depending on your communication preferences
Feature mode decomposition (FMD) is an adaptive decomposition method. FMD uses the machinery fault feature, i.e. impulsiveness and periodicity of the signal, as the decomposition objective.
The MATLAB codes of FMD permit to reproduce some results in the papers:
Y. Miao, B. Zhang, C. Li, J. Lin, D. Zhang, Feature Mode Decomposition: New Decomposition Theory for Rotating Machinery Fault Diagnosis, IEEE Transactions on Industrial Electronics, 70 (2023) 1949-1960.
Copyright (c) belongs to the authors of the papers. An acknowledgment for the codes and the citations about all the papers above must be included in the publications as long as the codes are used.
Our works and full texts can refer
https://www.researchgate.net/profile/Yonghao-Miao
https://scholar.google.com.hk/citations?user=gRZ_iZsAAAAJ&hl=zh-CN&oi=ao
Cite As
Yonghao Miao (2026). Feature mode decomposition (FMD) (https://www.mathworks.com/matlabcentral/fileexchange/108099-feature-mode-decomposition-fmd), MATLAB Central File Exchange. Retrieved .
Yonghao, Miao, et al. “Feature Mode Decomposition: New Decomposition Theory for Rotating Machinery Fault Diagnosis.” IEEE Transactions on Industrial Electronics, Institute of Electrical and Electronics Engineers (IEEE), 2022, pp. 1–1, doi:10.1109/tie.2022.3156156.
General Information
- Version 1.0.1 (155 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
