Fault Diagnosis for Supporting Rollers of the Rotary Kiln Using the Dynamic Model and Empirical Mode Decomposition

Mechanika ◽

10.5755/j01.mech.22.3.13072 ◽

2016 ◽

Vol 22 (3) ◽

Author(s):

Kai Zheng ◽

Yun Zhang ◽

Chen Zhao ◽

Tianliang Li

Keyword(s):

Fault Diagnosis ◽

Dynamic Model ◽

Empirical Mode Decomposition ◽

Rotary Kiln ◽

Mode Decomposition ◽

Supporting Rollers

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Noise Eliminated Ensemble Empirical Mode Decomposition for Bearing Fault Diagnosis

Journal of Vibration Engineering & Technologies ◽

10.1007/s42417-021-00358-y ◽

2021 ◽

Author(s):

Atik Faysal ◽

Wai Keng Ngui ◽

M. H. Lim

Keyword(s):

Fault Diagnosis ◽

Empirical Mode Decomposition ◽

Ensemble Empirical Mode Decomposition ◽

Bearing Fault ◽

Bearing Fault Diagnosis ◽

Mode Decomposition

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Gearbox Fault Diagnosis Classification with Empirical Mode Decomposition Based on Improved Long Short-Term Memory

2021 IEEE 6th International Conference on Cloud Computing and Big Data Analytics (ICCCBDA) ◽

10.1109/icccbda51879.2021.9442505 ◽

2021 ◽

Author(s):

Sheng-Nan Chen ◽

Feng Liu ◽

Chang-Xia Gao ◽

Jinyang Li

Keyword(s):

Fault Diagnosis ◽

Empirical Mode Decomposition ◽

Short Term Memory ◽

Term Memory ◽

Mode Decomposition ◽

Long Short Term Memory ◽

Diagnosis Classification

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Realizing the empirical mode decomposition by the adaptive stochastic resonance in a new periodical model and its application in bearing fault diagnosis

Journal of Mechanical Science and Technology ◽

10.1007/s12206-017-0906-6 ◽

2017 ◽

Vol 31 (10) ◽

pp. 4599-4610 ◽

Author(s):

Jingling Zhang ◽

Dawen Huang ◽

Jianhua Yang ◽

Houguang Liu ◽

Xiaole Liu

Keyword(s):

Fault Diagnosis ◽

Stochastic Resonance ◽

Empirical Mode Decomposition ◽

Bearing Fault ◽

Bearing Fault Diagnosis ◽

Mode Decomposition

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Fault diagnosis of rolling bearing based on empirical mode decomposition and convolutional recurrent neural network

IOP Conference Series Materials Science and Engineering ◽

10.1088/1757-899x/1043/4/042015 ◽

2021 ◽

Vol 1043 (4) ◽

pp. 042015

Author(s):

Mulin Huang ◽

Tingting Huang ◽

Yuepu Zhao ◽

Wei Dai

Keyword(s):

Neural Network ◽

Fault Diagnosis ◽

Empirical Mode Decomposition ◽

Recurrent Neural Network ◽

Rolling Bearing ◽

Mode Decomposition

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Combined rotor fault diagnosis in rotating machinery using empirical mode decomposition

Journal of Mechanical Science and Technology ◽

10.1007/s12206-014-1107-1 ◽

2014 ◽

Vol 28 (12) ◽

pp. 4869-4876 ◽

Author(s):

Sukhjeet Singh ◽

Navin Kumar

Keyword(s):

Fault Diagnosis ◽

Empirical Mode Decomposition ◽

Rotating Machinery ◽

Mode Decomposition

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Design of Gearbox Fault Diagnosis System Using Empirical Mode Decomposition Algorithm and LabVIEW Software

Communications in Computer and Information Science - Applied Informatics and Communication ◽

10.1007/978-3-642-23226-8_14 ◽

2011 ◽

pp. 107-112

Author(s):

Ling Zhang

Keyword(s):

Fault Diagnosis ◽

Empirical Mode Decomposition ◽

Decomposition Algorithm ◽

Diagnosis System ◽

Labview Software ◽

Mode Decomposition ◽

Fault Diagnosis System

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Gearbox fault diagnosis based on empirical mode decomposition

Chinese Journal of Mechanical Engineering ◽

10.3901/cjme.2004.03.454 ◽

2004 ◽

Vol 17 (03) ◽

pp. 454 ◽

Author(s):

Guoji Shen

Keyword(s):

Fault Diagnosis ◽

Empirical Mode Decomposition ◽

Mode Decomposition

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Mean-optimized Empirical Mode Decomposition and Its Application in Rotor Fault Diagnosis

Journal of Mechanical Engineering ◽

10.3901/jme.2018.23.093 ◽

2018 ◽

Vol 54 (23) ◽

pp. 93

Author(s):

Jinde ZHENG

Keyword(s):

Fault Diagnosis ◽

Empirical Mode Decomposition ◽

Mode Decomposition

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A New Method of Wind Turbine Bearing Fault Diagnosis Based on Multi-Masking Empirical Mode Decomposition and Fuzzy C-Means Clustering

Chinese Journal of Mechanical Engineering ◽

10.1186/s10033-019-0356-4 ◽

2019 ◽

Vol 32 (1) ◽

Author(s):

Yongtao Hu ◽

Shuqing Zhang ◽

Anqi Jiang ◽

Liguo Zhang ◽

Wanlu Jiang ◽

...

Keyword(s):

Fault Diagnosis ◽

Wind Turbine ◽

Empirical Mode Decomposition ◽

Bearing Fault ◽

Fuzzy C Means ◽

Bearing Fault Diagnosis ◽

Mode Decomposition ◽

Fuzzy C Means Clustering ◽

Turbine Bearing

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An improved complementary ensemble empirical mode decomposition with adaptive noise and its application to rolling element bearing fault diagnosis

ISA Transactions ◽

10.1016/j.isatra.2019.01.038 ◽

2019 ◽

Vol 91 ◽

pp. 218-234 ◽

Author(s):

Yao Cheng ◽

Zhiwei Wang ◽

Bingyan Chen ◽

Weihua Zhang ◽

Guanhua Huang

Keyword(s):

Fault Diagnosis ◽

Empirical Mode Decomposition ◽

Ensemble Empirical Mode Decomposition ◽

Rolling Element Bearing ◽

Bearing Fault ◽

Bearing Fault Diagnosis ◽

Mode Decomposition ◽

Rolling Element ◽

Element Bearing ◽

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