A Time-Distributed Spatiotemporal Feature Learning Method for Machine Health Monitoring with Multi-Sensor Time Series

Data-driven methods with multi-sensor time series data are the most promising approaches for monitoring machine health. Extracting fault-sensitive features from multi-sensor time series is a daunting task for both traditional data-driven methods and current deep learning models. A novel hybrid end-t...

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Bibliographic Details
Main Authors: Huihui Qiao, Taiyong Wang, Peng Wang, Shibin Qiao, Lan Zhang
Format: Article
Language:English
Published: MDPI AG 2018-09-01
Series:Sensors
Subjects:
Online Access:http://www.mdpi.com/1424-8220/18/9/2932