2 papers
eess.SP2019
Deep Fault Diagnosis for Rotating Machinery with Scarce Labeled Samples
Jing Zhang, Jing Tian, Tao Wen +3
Early and accurately detecting faults in rotating machinery is crucial for operation safety of the modern manufacturing system. In this paper, we proposed a novel Deep fault diagno…
cs.LG2019
Deep Time-Frequency Representation and Progressive Decision Fusion for ECG Classification
Jing Zhang, Jing Tian, Yang Cao +2
Early recognition of abnormal rhythms in ECG signals is crucial for monitoring and diagnosing patients' cardiac conditions, increasing the success rate of the treatment. Classifyin…