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Machine Learning Techniques for Fault Diagnosis of Rotating Machines Using Spectrum Image of Vibration Orbits

机译：使用振动轨道谱图像的旋转机器故障诊断机器学习技术

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Clayton Eduardo Rodrigues; Cairo Lúcio Nascimento Júnior; Domingos Alves Rade;
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年度 2020
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1. Parameter Optimisation in the Vibration-Based Machine Learning Model for Accurate and Reliable Faults Diagnosis in Rotating Machines [J] . Natalia Espinoza Sepulveda, Jyoti Sinha Machines . 2020,第4期

机译：基于振动的机器学习模型中的参数优化，用于旋转机器准确可靠的故障诊断
2. Comparison of machine learning models based on time domain and frequency domain features for faults diagnosis in rotating machines [J] . Natalia Espinoza Sepulveda, Jyoti Sinha MATEC Web of Conferences . 2018,第1期

机译：基于时域和频域特征的旋转机器故障诊断机器学习模型比较
3. Combined bispectrum and trispectrum for faults diagnosis in rotating machines [J] . Akilu Yunusa-Kaltungo, Jyoti K. Sinha Proceedings of the Institution of Mechanical Engineers, Part O. Journal of Risk and Reliability . 2014,第4期

机译：双谱和三谱相结合的旋转机械故障诊断
4. Comparison of machine learning models based on time domain and frequency domain features for faults diagnosis in rotating machines [C] . Natalia Espinoza Sepulveda, Jyoti Sinha International Conference on Vibration Engineering and Technology of Machinery . 2018

机译：基于时域和频域特征的机器学习模型对旋转机器故障诊断的比较
5. Fault Diagnosis and Prognosis in Industrial Systems Using Machine Learning Techniques [D] . Heydarzadeh, Mehrdad. 2018

机译：使用机器学习技术的工业系统故障诊断和诊断
6. Rotating Machinery Fault Diagnosis Based on Improved Multiscale Amplitude-Aware Permutation Entropy and Multiclass Relevance Vector Machine [O] . Yinsheng Chen, Tinghao Zhang, Wenjie Zhao, 2019

机译：基于改进的多尺度幅度感知置换熵和多类关联向量机的旋转机械故障诊断
7. Blind Application of Developed Smart Vibration-Based Machine Learning (SVML) Model for Machine Faults Diagnosis to Different Machine Conditions [O] . Natalia F. Espinoza Sepúlveda, Jyoti K. Sinha 2020

机译：基于智能振动的机器学习（SVML）模型对不同机器条件的机器故障诊断

Machine Learning Techniques for Fault Diagnosis of Rotating Machines Using Spectrum Image of Vibration Orbits

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