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pro vyhledávání: '"Zhuofu Jiang"'
Publikováno v:
Sensors, Vol 19, Iss 5, p 1088 (2019)
Recently, research on data-driven bearing fault diagnosis methods has attracted increasing attention due to the availability of massive condition monitoring data. However, most existing methods still have difficulties in learning representative featu
Externí odkaz:
https://doaj.org/article/03b2d69622d5427691c7244cf99d989c
Publikováno v:
IEEE Transactions on Instrumentation and Measurement. 69:509-520
Fault detection and diagnosis (FDD) is crucial for stable, reliable, and safe operation of industrial equipment. In recent years, deep learning models have been widely used in data-driven FDD methods because of their automatic feature learning capabi
Autor:
Zhuofu Jiang
Publikováno v:
2021 4th International Conference on Mathematics and Statistics.
Based on MATLAB and matrix displacement method, the finite element program of plane bar system structure is designed in this paper, and its compiling idea and application method are explained with examples. The program is written according to the gen
Publikováno v:
Sensors, Vol 19, Iss 5, p 1088 (2019)
Sensors
Volume 19
Issue 5
Sensors (Basel, Switzerland)
Sensors
Volume 19
Issue 5
Sensors (Basel, Switzerland)
Recently, research on data-driven bearing fault diagnosis methods has attracted increasing attention due to the availability of massive condition monitoring data. However, most existing methods still have difficulties in learning representative featu