Application of a New Enhanced Deconvolution Method in Gearbox Fault Diagnosis
暂无分享,去创建一个
Wenhua Du | Zhijian Wang | Junyuan Wang | Tao Li | Jingtai Wang | Jiping Zhang | Guanjun Wang | W. Du | Zhijian Wang | Junyuan Wang | Tao Li | Jingtai Wang | Jiping Zhang | Guanjun Wang
[1] Robert B. Randall,et al. The enhancement of fault detection and diagnosis in rolling element bearings using minimum entropy deconvolution combined with spectral kurtosis , 2007 .
[2] Wenhua Du,et al. Research and application of improved adaptive MOMEDA fault diagnosis method , 2019, Measurement.
[3] Christopher J Hardy,et al. Bias and precision analysis of diffusional kurtosis imaging for different acquisition schemes , 2016, Magnetic resonance in medicine.
[4] Yi Qin,et al. Kurtogram manifold learning and its application to rolling bearing weak signal detection , 2018, Measurement.
[5] Xiaodong Jia,et al. A novel strategy for signal denoising using reweighted SVD and its applications to weak fault feature enhancement of rotating machinery , 2017 .
[6] Peter W. Tse,et al. Order spectrogram visualization for rolling bearing fault detection under speed variation conditions , 2019, Mechanical Systems and Signal Processing.
[7] Wenhua Du,et al. A Novel Method for Intelligent Fault Diagnosis of Bearing Based on Capsule Neural Network , 2019, Complex..
[8] Wenhua Du,et al. Research on Novel Bearing Fault Diagnosis Method Based on Improved Krill Herd Algorithm and Kernel Extreme Learning Machine , 2019, Complex..
[9] Qing Zhao,et al. Multipoint Optimal Minimum Entropy Deconvolution and Convolution Fix: Application to vibration fault detection , 2017 .
[10] Minqiang Xu,et al. A fault diagnosis scheme for planetary gearboxes using adaptive multi-scale morphology filter and modified hierarchical permutation entropy , 2018 .
[11] Xiai Chen,et al. Incipient fault diagnosis of limit switch based on a ARMA model , 2019 .
[12] Jiawei Xiang,et al. Kernel regression residual decomposition-based synchroextracting transform to detect faults in mechanical systems. , 2019, ISA transactions.
[13] Xianzhi Wang,et al. Entropy Based Fault Classification Using the Case Western Reserve University Data: A Benchmark Study , 2020, IEEE Transactions on Reliability.
[14] Jiawei Xiang,et al. A data indicator-based deep belief networks to detect multiple faults in axial piston pumps , 2018, Mechanical Systems and Signal Processing.
[15] Bo Peng,et al. The FERgram: A rolling bearing compound fault diagnosis based on maximal overlap discrete wavelet packet transform and fault energy ratio , 2019, Journal of Mechanical Science and Technology.
[16] Xiaolong Wang,et al. Weak fault diagnosis of rolling bearing under variable speed condition using IEWT-based enhanced envelope order spectrum , 2019, Measurement Science and Technology.
[17] Jiawei Xiang,et al. Minimum entropy deconvolution based on simulation-determined band pass filter to detect faults in axial piston pump bearings. , 2019, ISA transactions.
[18] Changqing Shen,et al. A coarse-to-fine decomposing strategy of VMD for extraction of weak repetitive transients in fault diagnosis of rotating machines , 2019, Mechanical Systems and Signal Processing.
[19] Wenhua Du,et al. A Novel Fault Diagnosis Method of Gearbox Based on Maximum Kurtosis Spectral Entropy Deconvolution , 2019, IEEE Access.
[20] Bin Li,et al. Study on Slurry Noise of Electromagnetic Flowmeter Based on ARMA Power Spectrum Estimation , 2015 .
[21] Shi Li,et al. A novel convolutional neural network based fault recognition method via image fusion of multi-vibration-signals , 2019, Comput. Ind..
[22] Kun Yu,et al. A Combined Polynomial Chirplet Transform and Synchroextracting Technique for Analyzing Nonstationary Signals of Rotating Machinery , 2020, IEEE Transactions on Instrumentation and Measurement.
[23] Kai Ding,et al. An enhanced multipoint optimal minimum entropy deconvolution approach for bearing fault detection of spur gearbox , 2019, Journal of Mechanical Science and Technology.
[24] Robert B. Randall,et al. Enhancement of autoregressive model based gear tooth fault detection technique by the use of minimum entropy deconvolution filter , 2007 .
[25] Haiyang Pan,et al. Rolling bearing fault detection and diagnosis based on composite multiscale fuzzy entropy and ensemble support vector machines , 2017 .
[26] Jin Chen,et al. Spectral kurtosis based on AR model for fault diagnosis and condition monitoring of rolling bearing , 2012 .
[27] Wenhua Du,et al. Application of Parameter Optimized Variational Mode Decomposition Method in Fault Diagnosis of Gearbox , 2019, IEEE Access.
[28] Yonghao Miao,et al. Detection and recovery of fault impulses via improved harmonic product spectrum and its application in defect size estimation of train bearings , 2016 .
[29] Zhijian Wang,et al. Application of an Improved Multipoint Optimal Minimum Entropy Deconvolution Adjusted for Gearbox Composite Fault Diagnosis , 2018, Sensors.
[30] Chao Wu,et al. Identification of Multiple Faults in Gearbox Based on Multipoint Optional Minimum Entropy Deconvolution Adjusted and Permutation Entropy , 2018, Entropy.
[31] Changqing Shen,et al. A new l0-norm embedded MED method for roller element bearing fault diagnosis at early stage of damage , 2018, Measurement.
[32] Wenhua Du,et al. Research on Fault Extraction Method of Variational Mode Decomposition Based on Immunized Fruit Fly Optimization Algorithm , 2019, Entropy.
[33] Heimo Ihalainen,et al. Adaptive Autoregressive Model for Reduction of Noise in SPECT , 2015, Comput. Math. Methods Medicine.
[34] Peng Chen,et al. Step-by-Step Fuzzy Diagnosis Method for Equipment Based on Symptom Extraction and Trivalent Logic Fuzzy Diagnosis Theory , 2018, IEEE Transactions on Fuzzy Systems.
[35] Yuling He,et al. Weak Fault Feature Extraction and Enhancement of Wind Turbine Bearing Based on OCYCBD and SVDD , 2019, Applied Sciences.
[36] Huaqing Wang,et al. A Novel Feature Enhancement Method Based on Improved Constraint Model of Online Dictionary Learning , 2019, IEEE Access.
[37] Steven Y. Liang,et al. Incipient Fault Feature Extraction for Rotating Machinery Based on Improved AR-Minimum Entropy Deconvolution Combined with Variational Mode Decomposition Approach , 2017, Entropy.
[38] Jun Ma,et al. MVMD-MOMEDA-TEO Model and Its Application in Feature Extraction for Rolling Bearings , 2019, Entropy.
[39] Minping Jia,et al. Research on an enhanced scale morphological-hat product filtering in incipient fault detection of rolling element bearings , 2019 .
[40] Wenhua Du,et al. Application of an Improved Ensemble Local Mean Decomposition Method for Gearbox Composite Fault Diagnosis , 2019, Complex..
[41] Arcangelo Pellegrino,et al. Design of Delivery Valve for Hydraulic Pumps , 2018, Machines.
[42] R. Wiggins. Minimum entropy deconvolution , 1978 .
[43] Xianzhi Wang,et al. Early fault diagnosis of rolling bearings based on hierarchical symbol dynamic entropy and binary tree support vector machine , 2018, Journal of Sound and Vibration.
[44] Minping Jia,et al. A Feature Selection Framework-Based Multiscale Morphological Analysis Algorithm for Fault Diagnosis of Rolling Element Bearing , 2019, IEEE Access.
[45] Francesco Villecco,et al. On the Evaluation of Errors in the Virtual Design of Mechanical Systems , 2018, Machines.
[46] Fengshou Gu,et al. A novel procedure for diagnosing multiple faults in rotating machinery. , 2015, ISA transactions.
[47] Xue Wei,et al. An online damage identification approach for numerical control machine tools based on data fusion using vibration signals , 2015 .