Induction Machines Bearing Failures Detection and Diagnosis using Variable Neighborhood Search
暂无分享,去创建一个
[1] Asma Ladj,et al. A Hybrid of Variable Neighbor Search and Fuzzy Logic for the permutation flowshop scheduling problem with predictive maintenance , 2017, KES.
[2] Mohamed Benbouzid,et al. An integrated wind turbine failures prognostic approach implementing Kalman smoother with confidence bounds , 2018, Applied Acoustics.
[3] Claude Delpha,et al. Improved Fault Diagnosis of Ball Bearings Based on the Global Spectrum of Vibration Signals , 2015, IEEE Transactions on Energy Conversion.
[4] Elhoussin Elbouchikhi,et al. An Efficient Hilbert–Huang Transform-Based Bearing Faults Detection in Induction Machines , 2017, IEEE Transactions on Energy Conversion.
[5] Purushottam Gangsar,et al. Comparative investigation of vibration and current monitoring for prediction of mechanical and electrical faults in induction motor based on multiclass-support vector machine algorithms , 2017 .
[6] Hubert Razik,et al. Detection and Diagnosis of Faults in Induction Motor Using an Improved Artificial Ant Clustering Technique , 2013, IEEE Transactions on Industrial Electronics.
[7] Mir Mohammad Ettefagh,et al. Bearing fault diagnosis using hybrid genetic algorithm K-means clustering , 2014, 2014 IEEE International Symposium on Innovations in Intelligent Systems and Applications (INISTA) Proceedings.
[8] Steven X. Ding,et al. A Survey of Fault Diagnosis and Fault-Tolerant Techniques—Part I: Fault Diagnosis With Model-Based and Signal-Based Approaches , 2015, IEEE Transactions on Industrial Electronics.
[9] Konstantinos C. Gryllias,et al. Rolling element bearing fault detection in industrial environments based on a K-means clustering approach , 2011, Expert Syst. Appl..
[10] Elhoussin Elbouchikhi,et al. Motor Current Signal Analysis Based on a Matched Subspace Detector , 2017, IEEE Transactions on Instrumentation and Measurement.
[11] Pierre Hansen,et al. Variable Neighborhood Search : Methods and Applications , 2008 .
[12] Demba Diallo,et al. Electric Motor Drive Selection Issues for HEV Propulsion Systems: A Comparative Study , 2005, IEEE Transactions on Vehicular Technology.
[13] Yann Le Bihan,et al. Statistical Approach for Nondestructive Incipient Crack Detection and Characterization Using Kullback-Leibler Divergence , 2016, IEEE Transactions on Reliability.
[14] Karima Benatchba,et al. Classical mechanics-inspired optimization metaheuristic for induction machines bearing failures detection and diagnosis , 2017, IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society.
[15] Mohamed Benbouzid,et al. A review of induction motors signature analysis as a medium for faults detection , 1998, IECON '98. Proceedings of the 24th Annual Conference of the IEEE Industrial Electronics Society (Cat. No.98CH36200).
[16] Sanjay H Upadhyay,et al. Bearing performance degradation assessment based on a combination of empirical mode decomposition and k-medoids clustering , 2017 .
[17] Luiz Antonio Nogueira Lorena,et al. A hybrid heuristic for the overlapping cluster editing problem , 2019, Appl. Soft Comput..
[18] Mohamed Benbouzid,et al. Online automatic diagnosis of wind turbine bearings progressive degradations under real experimental conditions based on unsupervised machine learning , 2018 .
[19] Mohamed Benbouzid,et al. Developments in large marine current turbine technologies – A review , 2017 .
[20] Qinkai Han,et al. Vibration based condition monitoring and fault diagnosis of wind turbine planetary gearbox: A review , 2019, Mechanical Systems and Signal Processing.
[21] Elhoussin Elbouchikhi,et al. Induction Machines Fault Detection Based on Subspace Spectral Estimation , 2016, IEEE Transactions on Industrial Electronics.
[22] Steven X. Ding,et al. A Survey of Fault Diagnosis and Fault-Tolerant Techniques—Part II: Fault Diagnosis With Knowledge-Based and Hybrid/Active Approaches , 2015, IEEE Transactions on Industrial Electronics.
[23] Pierre Hansen,et al. Variable neighbourhood search: methods and applications , 2010, Ann. Oper. Res..
[24] Elhoussin Elbouchikhi,et al. Generalized Likelihood Ratio Test Based Approach for Stator-Fault Detection in a PWM Inverter-Fed Induction Motor Drive , 2019, IEEE Transactions on Industrial Electronics.