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Multi-Features Fusion for Fault Diagnosis of Pedal Robot Using Time-Speed Signals
2019
Sensors
In order to realize automation of the pollutant emission tests of vehicles, a pedal robot is designed instead of a human-driven vehicle. Sometimes, the actual time-speed curve of the vehicle will deviate from the upper or lower limit of the worldwide light-duty test cycle (WLTC) target curve, which will cause a fault. In this paper, a new fault diagnosis method is proposed and applied to the pedal robot. Since principal component analysis (PCA), t-distributed stochastic neighbor embedding
doi:10.3390/s19010163
pmid:30621207
pmcid:PMC6339021
fatcat:glcyjkb5vrhhhox4hwdgdx4zny