Noise Eliminated Ensemble Empirical Mode Decomposition for Bearing Fault Diagnosis

[1] Gundewar SK(2021)Condition monitoring and fault diagnosis of induction motor J Vib Eng Technol 9 643-674

[2] Kane PV(2019)Review of condition monitoring of rolling element bearing using vibration analysis and other techniques J Vib Eng Technol 7 407-414

[3] Malla C(2018)Basic research on machinery fault diagnostics: past, present, and future trends Front Mech Eng 13 264-291

[4] Panigrahi I(2020)Signal based condition monitoring techniques for fault detection and diagnosis of induction motors: a state-of-the-art review Mech Syst Signal Process 144 106908-12

[5] Chen X(2018)Feature extraction for fault diagnosis based on wavelet packet decomposition: an application on linear rolling guide Adv Mech Eng 10 1-157

[6] Wang S(2013)Broken rotor bar diagnosis in induction machines through stationary wavelet packet transform and multiclass wavelet SVM Electr Power Syst Res 97 151-646

[7] Qiao B(2019)Application of variational mode decomposition to feature isolation and diagnosis in a wind turbine J Vib Eng Technol 7 639-366

[8] Chen Q(2019)Fault diagnosis for a bearing rolling element using improved VMD and HT Appl Sci 9 1439-431

[9] Gangsar P(2012)A rotating machinery fault diagnosis method based on local mean decomposition Digit Signal Process 22 356-408

[10] Tiwari R(2014)Bearing fault detection using acoustic emission signals analyzed by empirical mode decomposition Int J Res Eng Technol 03 426-11475

[1] Gundewar SK(2021)Condition monitoring and fault diagnosis of induction motor J Vib Eng Technol 9 643-674

[2] Kane PV(2019)Review of condition monitoring of rolling element bearing using vibration analysis and other techniques J Vib Eng Technol 7 407-414

[3] Malla C(2018)Basic research on machinery fault diagnostics: past, present, and future trends Front Mech Eng 13 264-291

[4] Panigrahi I(2020)Signal based condition monitoring techniques for fault detection and diagnosis of induction motors: a state-of-the-art review Mech Syst Signal Process 144 106908-12

[5] Chen X(2018)Feature extraction for fault diagnosis based on wavelet packet decomposition: an application on linear rolling guide Adv Mech Eng 10 1-157

[6] Wang S(2013)Broken rotor bar diagnosis in induction machines through stationary wavelet packet transform and multiclass wavelet SVM Electr Power Syst Res 97 151-646

[7] Qiao B(2019)Application of variational mode decomposition to feature isolation and diagnosis in a wind turbine J Vib Eng Technol 7 639-366

[8] Chen Q(2019)Fault diagnosis for a bearing rolling element using improved VMD and HT Appl Sci 9 1439-431

[9] Gangsar P(2012)A rotating machinery fault diagnosis method based on local mean decomposition Digit Signal Process 22 356-408

[10] Tiwari R(2014)Bearing fault detection using acoustic emission signals analyzed by empirical mode decomposition Int J Res Eng Technol 03 426-11475