bearing fault
Bearing Fault Detection in Induction Motor Using Time Domain Analysis
... ABSTRACT: Approximately half of all operating costs in most processing and manufacturing operations can be attributed to maintenance. This is ample motivation for studying induction motor faults diagnosis and monitoring ...
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DIAGNOSING THE MACHINERY BEARING FAULT BASED ON CLUSTER MODELS
... Abstract— The detection and diagnosis of bearing fault have been an important subject for the past few decades. The objective is to overview the methods to detect and minimize the faults, which have been ...
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Generalized Demodulation Transform for Bearing Fault Diagnosis Under Nonstationary Conditions and Gear Noise Interferences
... ing fault by the envelope ...taneous fault characteristic frequency extracted from the envelope TFR of the denoised signal, the COA is applied to diagnose fault ...a bearing fault ...
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A Teager-Kaiser Spectrum Technique for Bearing Fault Detection in Induction Motors
... for fault detection in broken rotor bars [11] and air-gap eccentricity ...[12]. Bearing fault detection using stator current is challenging due to the low SNR ratio ...the bearing fault ...
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Adaptive Empirical Mode Decomposition for Bearing Fault Detection
... for bearing fault detection have been ...the bearing fault when the vibration data are not strongly disturbed by ...nominal bearing defect frequencies (nominal frequencies), which are ...
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Application of Improved Deep Auto Encoder Network in Rolling Bearing Fault Diagnosis
... extracting fault features is not high under traditional bearing fault diagnosis method, a bearing fault diagnosis method based on Deep Auto-encoder Network (DAEN) optimized by Cloud ...
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Bearing Fault Detection Using Artificial Neural Networks and Genetic Algorithm
... of bearing fault detection using three types of artificial neural networks (ANNs), namely, multilayer perceptron (MLP), radial basis function (RBF) network, and probabilistic neural network ...or ...
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Rolling Bearing Fault Analysis by Interpolating Windowed DFT Algorithm
... accurate Fault Characteristic Frequency (FCF) estimation of rolling ...rolling bearing fault ...of fault vibration signal, it is difficult to extract FCF with high ...rolling bearing ...
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Bearing Fault Diagnosis Based on CEMDAN Energy Weighting Method
... Abstract. Bearing fault diagnosis is an important way to ensure the safe operation of ...weak fault features can’t be extracted by single noise reduction or feature enhancement method under strong ...
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A Review on Bearing Fault Detection by Vibration Signature Analysis
... localized bearing defects based on wavelet transform. Bearing race faults found by using discrete wavelet ...ball fault and combination of these faults considered for ...ball bearing race ...
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Autoregressive modelling for rolling element bearing fault diagnosis
... rolling bearing fault ...element bearing signatures and the relation of the coefficients to the vibratory behavior of the bearings and their ...
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Bearing-Fault Detection Using the Meyer-Wavelet-Packets Algorithm
... The localization property o f wavelet packets in a time-frequency analysis has been successfully considered in many applications. In this paper, a new method o f bearing-fault detection is investigated ...
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Bearing Fault Diagnosis Method Based on EMD CNNs
... components, bearing failure is the result of machine damage if the bearing failure can not accurately for diagnosis and timely processing, will lead to downtime, cut off or even cause people casualties and ...
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Frequency Loss and Recovery in Rolling Bearing Fault Detection
... the bearing is running under the condition of low back- ground noise and no other vibration components exist- ...the bearing characteristic fre- quency ...in bearing fault signal is helpful to ...
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An insight into wind turbine planet bearing fault prediction using SCADA data
... This paper investigated the use of SCADA data for wind tur- bine gearbox planet bearing fault prediction. The case study concerned historical data from three operating wind turbines leading up to the same ...
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Diesel Engine Bearing Fault Diagnosis Based on Underdetermined Blind Source Separation
... engine bearing fault diagnosis based on underdetermined blind source separation was ...containing bearing fault characteristics was separated from mixed signal by the method of blind source ...
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Bearing fault diagnosis based on vibration signals
... characteristic bearing fault frequencies of high amplitudes, along with their harmonics, will appear in the envelope ...highest fault frequency of interest is ...
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Bearing fault diagnosis using CWT, BGA and Artificial Bee Colony Algorithm
... rolling bearing faults can reduce or prevent the accidents and In case the rolling bearing breaks down, the consequences can be serious ...[1]. Fault finding methodologies of rolling bearings have ...
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An Improved Bearing Fault Diagnosis Method using One-Dimensional CNN and LSTM
... The bearing is the most important component in rotating machinery; its main function is to support the mechanical rotating body and reduce the friction coefficient during ...the bearing fault is the ...
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A Feature Extraction Method Based on VMD and RDT and Its Application in Engine Crankshaft Bearing Fault
... crankshaft bearing fault simulation experiment, the four kinds of wear state vibration signals are decomposed by VMD, and the modal components with smaller permutation entropy are selected as fault ...
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