Rolling Bearing Fault Diagnosis Based on Stacked Autoencoder Network with Dynamic Learning Rate
نویسندگان
چکیده
منابع مشابه
Neural-network-based motor rolling bearing fault diagnosis
Motor systems are very important in modern society. They convert almost 60% of the electricity produced in the U.S. into other forms of energy to provide power to other equipment. In the performance of all motor systems, bearings play an important role. Many problems arising in motor operations are linked to bearing faults. In many cases, the accuracy of the instruments and devices used to moni...
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The rolling element bearing is a key part in many mechanical facilities and the diagnosis of its faults is very important in the field of predictive maintenance. Till date, the resonant demodulation technique (envelope analysis) has been widely exploited in practice. In complex machines, the vibration generated by a component is easily affected by the vibration of other components or is corrupt...
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ژورنال
عنوان ژورنال: Advances in Materials Science and Engineering
سال: 2020
ISSN: 1687-8442,1687-8434
DOI: 10.1155/2020/6625273