Performance Comparison Between Fast Fourier Transform-Based Segmentation, Feature Selection, and Fault Identification Algorithm and Neural Network for the Condition Monitoring of Centrifugal Equipment
Research output: Contribution to journal › Article › peer-review
13Citations
(Scopus)
Fingerprint
Dive into the research topics of 'Performance Comparison Between Fast Fourier Transform-Based Segmentation, Feature Selection, and Fault Identification Algorithm and Neural Network for the Condition Monitoring of Centrifugal Equipment'. Together they form a unique fingerprint.