2023
DOI: 10.1371/journal.pone.0284316
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Multi-disturbance identification from mine wind-velocity data based on MSSW and WPT-GBDT

Abstract: To overcome the false alarm problem that arises for mine wind-velocity sensors due to air-door and mine-car operation, a wind-velocity disturbance identification method based on the wavelet packet transform and gradient lifting decision tree is proposed. In this method, a multi-scale sliding window discretizes continuous wind-velocity monitoring data, the wavelet packet transform extracts the hidden features of discrete data, and a gradient lifting decision tree multi-disturbance classification model is establ… Show more

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