Model Construction and Application of Deep Learning in Fault Diagnosis of Induction Motor
Ma, Run
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How to Cite

Ma R., 2018, Model Construction and Application of Deep Learning in Fault Diagnosis of Induction Motor, Chemical Engineering Transactions, 66, 1327-1332.
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Abstract

Using Helium Mass Spectrometer leak detection method to analyze the PLC-based electrothermal vacuum automatic detection. Using the leakage rate calculation of the helium pass spectrometer leak detection to analyze the detection sensitivity of automatic leak detection system and human-computer interaction system. Qmin=81.6 10 mbar l/s, system average leak detection response time is about 3s. The PLC-based electrothermal vacuum detection system is an advanced detection system at present, it is of high accuracy, fast speed and less interfered by human factors.
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