Condition Monitoring Method for the Detection of Fault Graduality in Outer Race Bearing Based on Vibration-Current Fusion, Statistical Features and Neural Network
暂无分享,去创建一个
Roque Alfredo Osornio-Rios | Israel Zamudio-Ramirez | Jose Alfonso Antonino-Daviu | Juan-Jose Saucedo-Dorantes | Jonathan Cureno-Osornio | J. Antonino-Daviu | J. Saucedo-Dorantes | I. Zamudio-Ramírez | R. Osornio-Ríos | J. Cureño-Osornio
[1] Diego Cabrera,et al. A review on data-driven fault severity assessment in rolling bearings , 2018 .
[2] K Jayakumar,et al. Industrial drive fault diagnosis through vibration analysis using wavelet transform , 2017 .
[3] Liming Liu,et al. A novel methodology for fault size estimation of ball bearings using stator current signal , 2021 .
[4] Kondo H. Adjallah,et al. Fuzzy model identification based on mixture distribution analysis for bearings remaining useful life estimation using small training data set , 2020, 2012.04589.
[5] Guoqian Chen,et al. Global primary energy use associated with production, consumption and international trade , 2017 .
[6] Babak Nahid-Mobarakeh,et al. A Comprehensive Study on Shaft Voltages and Bearing Currents in Rotating Machines , 2018, IEEE Transactions on Industry Applications.
[7] Javier Del Ser,et al. Data fusion and machine learning for industrial prognosis: Trends and perspectives towards Industry 4.0 , 2019, Inf. Fusion.
[8] José Fco. Martínez-Trinidad,et al. A review of unsupervised feature selection methods , 2019, Artificial Intelligence Review.
[9] Lingli Cui,et al. Fault Severity Classification and Size Estimation for Ball Bearings Based on Vibration Mechanism , 2019, IEEE Access.
[10] Mangesh B. Chaudhari,et al. Compound gear-bearing fault feature extraction using statistical features based on time-frequency method , 2018, Measurement.
[11] Wahyu Caesarendra,et al. A Review of Feature Extraction Methods in Vibration-Based Condition Monitoring and Its Application for Degradation Trend Estimation of Low-Speed Slew Bearing , 2017 .
[12] Faouzi M'Sahli,et al. Fault Diagnosis and Fault Tolerant Control of a Three-Phase VSI Supplying Sensorless Speed Controlled Induction Motor Drive , 2018, Electric Power Components and Systems.
[13] Cicero Martelli,et al. Broken Bar Fault Detection in Induction Motor by Using Optical Fiber Strain Sensors , 2017, IEEE Sensors Journal.
[14] Edgar F. Sierra-Alonso,et al. Short-Time/-Angle Spectral Analysis for Vibration Monitoring of Bearing Failures under Variable Speed , 2021 .
[15] Antonio J. Marques Cardoso,et al. Current-Based Bearing Fault Diagnosis Using Deep Learning Algorithms , 2021, Energies.
[16] James A. Oliver,et al. Ceramic Bearings for Electric Motors: Eliminating Damage with New Materials , 2017, IEEE Industry Applications Magazine.
[17] Daniel Morinigo-Sotelo,et al. Methodology for fault detection in induction motors via sound and vibration signals , 2017 .
[18] Anurag Choudhary,et al. Infrared Thermography-Based Fault Diagnosis of Induction Motor Bearings Using Machine Learning , 2021, IEEE Sensors Journal.
[19] Health State Classification of a Spherical Tank Using a Hybrid Bag of Features and k-Nearest Neighbor , 2020 .
[20] Siliang Lu,et al. Intelligent Bearing Fault Diagnosis Based on Tacholess Order Tracking for a Variable-Speed AC Electric Machine , 2019, IEEE Sensors Journal.
[21] Alok K. Verma,et al. Misalignment Faults Detection in an Induction Motor Based on Multi-scale Entropy and Artificial Neural Network , 2016 .
[22] J. Renno,et al. Time-Domain Based Quantification of Surface Degradation for Better Monitoring of the Health Condition of Ball Bearings , 2018, Vibration.
[23] Mustafa Cakir,et al. The experimental application of popular machine learning algorithms on predictive maintenance and the design of IIoT based condition monitoring system , 2020, Comput. Ind. Eng..
[24] Nadir Boutasseta,et al. A new time-frequency method for identification and classification of ball bearing faults , 2017 .
[25] Kun Yu,et al. A bearing fault and severity diagnostic technique using adaptive deep belief networks and Dempster–Shafer theory , 2020, Structural Health Monitoring.
[26] Juan Antonio Ortega-Redondo,et al. Multiple-Fault Detection Methodology Based on Vibration and Current Analysis Applied to Bearings in Induction Motors and Gearboxes on the Kinematic Chain , 2016 .
[27] Haochen Hua,et al. Coupling fault diagnosis of wind turbine gearbox based on multitask parallel convolutional neural networks with overall information , 2021 .
[28] Yimin Shao,et al. Fast time-frequency manifold learning and its reconstruction for transient feature extraction in rotating machinery fault diagnosis , 2019, Measurement.
[29] Qi Dong,et al. Artificial Neural Network for Assessment of Energy Consumption and Cost for Cross Laminated Timber Office Building in Severe Cold Regions , 2017 .
[30] Ahmad Forouzantabar,et al. Rolling bearing fault detection of electric motor using time domain and frequency domain features extraction and ANFIS , 2019, IET Electric Power Applications.
[31] Lei Wang,et al. Failure prediction, monitoring and diagnosis methods for slewing bearings of large-scale wind turbine: A review , 2021 .
[32] Peng Chen,et al. Vibration-Based Intelligent Fault Diagnosis for Roller Bearings in Low-Speed Rotating Machinery , 2018, IEEE Transactions on Instrumentation and Measurement.
[33] Hayde Peregrina-Barreto,et al. Hilbert Spectrum Analysis of Induction Motors for the Detection of Incipient Broken Rotor Bars , 2017 .
[34] Janet Stephenson,et al. The politics of energy scenarios: Are International Energy Agency and other conservative projections hampering the renewable energy transition? , 2018, Energy Research & Social Science.
[35] Yu Zhang,et al. Machine Learning-Based Fault Diagnosis for Single- and Multi-Faults in Induction Motors Using Measured Stator Currents and Vibration Signals , 2019, IEEE Transactions on Industry Applications.
[36] Jong-Myon Kim,et al. A Multitask-Aided Transfer Learning-Based Diagnostic Framework for Bearings under Inconsistent Working Conditions , 2020, Sensors.
[37] Qiang Miao,et al. Prognostics and Health Management: A Review of Vibration Based Bearing and Gear Health Indicators , 2018, IEEE Access.
[38] Oscar Duque-Perez,et al. A Comparison of Techniques for Fault Detection in Inverter-Fed Induction Motors in Transient Regime , 2017, IEEE Access.
[39] Jong-Myon Kim,et al. Reliable multiple combined fault diagnosis of bearings using heterogeneous feature models and multiclass support vector Machines , 2018, Reliab. Eng. Syst. Saf..
[40] Diego Sandoval,et al. Low-Speed Bearing Fault Diagnosis Based on Permutation and Spectral Entropy Measures , 2020 .
[41] Surajkumar G. Kumbhar,et al. Roller Element Bearing Fault Size Estimation Using Adaptive Neuro-fuzzy Inference System (ANFIS) , 2020 .