HIGHLIGHTS
- who: Haifei Liu et al. from the of Reliability Engineering, Beihang University, Beijing, China have published the article: Equivalent health assessment of rotating machinery with imbalance rotor based on metric learning, in the Journal: (JOURNAL)
- what: To better establish a unified cognitive form of imbalance fault health states a series of experiments are designed to explore the signal changes of the rotating system under different imbalance states and a Mahalanobis distance (MD) metric learning method based on feature extraction in the time domain and frequency domain is proposed. The authors design a variety of imbalance . . .
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