A lightweight deep learning-based method for health diagnosis of internal combustion engines on an internet of vehicles platform
Quanli Dou,
Hanbin Luo,
Zhenjing Zhang
et al.
Abstract:The health status diagnosis method for internal combustion engines based on deep learning mainly focuses on the research of vibration signals, but the hardware cost required for vibration signal monitoring is expensive, and the model is also complex, which is not suitable for vehicle internal combustion engines. The Internet of Vehicle (IoV) platform provides a lot of thermal parameter data that can reflect the status and performance of internal combustion engines. However, there is currently insufficient stud… Show more
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