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Fault Diagnosis of Motor Bearing Using Ensemble Learning Algorithm with FFT-based Preprocessing: International Conference on Robotics, 2019
由 N Sikder 著作2019被引用 14 次 — Fault Diagnosis of Motor Bearing Using Ensemble Learning Algorithm with FFT- based Preprocessing. Abstract: Rolling ...
2019年7月10日 — Conference: 2019 International Conference on Robotics,Electrical and Signal ... Learning Algorithm with FFT-based Preprocessing ... predict motor bearing faults almost impeccably.
Fault Diagnosis of Induction Motor Bearing Using Cepstrum-based Preprocessing and Ensemble Learning Algorithm.
Fault Diagnosis of Motor Bearing Using Ensemble Learning Algorithm with FFT- based Preprocessing ... Computer Science; 2019 International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering ...
Fault diagnosis of motor bearing using ensemble learning algorithm with ... 2019 International Conference on Robotics, Electrical and Signal Processing …, 2019 ... using cepstrum-based preprocessing and ensemble learning algorithm.
Finally, due to the nonstationary nature of the vibration signal, analysis based on the time-frequency domain is more ...
由 X Jian 著作2019被引用 27 次 — Real time bearing vibration signal fault detection methods, including traditional methods and deep learning methods, ...
Fault Diagnosis of Motor Bearing Using Ensemble Learning Algorithm with ... 2019 International Conference on Robotics,Electrical and Signal Processing …, 2019 ... Using Cepstrum-based Preprocessing and Ensemble Learning Algorithm .
Motors are the driving force of our industrial world, as they power approximately 85% of all rotating machines.
由 M Huang 著作2020被引用 25 次 — Using multi-source sensing data based on the Internet of Things (IoT) with artificial intelligence and big data processing ...

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