首页|Investigators from Guizhou Normal University Target Networks (Visualization for Explanation of Deep Learning-based Fault Diagnosis Model Using Class Activation Map)
Investigators from Guizhou Normal University Target Networks (Visualization for Explanation of Deep Learning-based Fault Diagnosis Model Using Class Activation Map)
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By a News Reporter-Staff News Editor at Network Daily News - Investigatorsdiscuss new findings in Networks. According to news reporting from Guiyang, People’s Republic of China,by NewsRx journalists, research stated, “Permanent magnet synchronous motor (PMSM) is widely usedin various production processes because of its high efficiency, fast reaction time, and high power density.With the continuous promotion of new energy vehicles, timely detection of PMSM faults can significantlyreduce the accident rate of new energy vehicles, further enhance consumers’ trust in their safety, and thuspromote their popularity.”
GuiyangPeople’s Republic of ChinaAsiaConvolutional NetworkEmerging TechnologiesMachine LearningNetworksNeural NetworksGuizhou Normal University
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