Bearing Fault Detection
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), ...
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Bearing-Fault Detection Using the Meyer-Wavelet-Packets Algorithm
... £ = ( l {d>(k))2 / m ^ 2 (5), where d? (k) are the wavelet-packet coefficients and M shows the number o f coefficients. Note that the amount o f computed energy shows the severity o f a defect [2], These energies are ...
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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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A Teager-Kaiser Spectrum Technique for Bearing Fault Detection in Induction Motors
... race bearing fault detection using stator current ...the fault related ...the fault characteristic ...IM bearing fault detection using stator current ...detect ...
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A Review on Bearing Fault Detection by Vibration Signature Analysis
... for fault detection in rolling element ...characteristic fault frequencies and backdrop on the basic operational features of ball bearings is ...the detection of bearing faults is ...
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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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Electromechanical actuator bearing fault detection using empirically extracted features
... As mentioned earlier and according to a 2009 paper by P Bansal et.al. [9], EMAs are relatively new to the aerospace industry and have not yet been used for a long enough time or in large enough quantities to be able to ...
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Self-Aligned Bearing Fault Detection using vibration Signals Analyzed by Spectrum analysis
... The bearing type used in this study is a double row self-aligned ball bearing with bearing model 1206 ...ball bearing is shown in Figure 2. 1206 Self Aligning Ball Bearing has a ...
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A Comparison of Fast Kurtogram and SFLA based ED Techniques for Bearing Fault Detection
... In this paper, SFLA is applied to find optimally the frequencies of the bandpass filter for bearing diagnosis. The simulated results on data sets of Case Western Reserve University Bearing Data Center show ...
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Frequency Loss and Recovery in Rolling Bearing Fault Detection
... local fault on the inner or outer race a shock is intro- duced that excites high frequency resonances of the whole structure between the bearing and the ...defective bearing consists of ...
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Fault Detection of Anti-friction Bearing using Ensemble Machine Learning Methods
... for fault diagnosis of ...multiple fault detection in electrical induction motor with time domain statistical features, and results show that RF gives precise classification accuracy ...for ...
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Aircraft Cable Fault Detection and Location Based on SSTDR
... the fault delay time, from which the fault distance can be ...the fault information, and the TDR method can simply obtain the fault information through the filter ...on-line detection ...
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Equipment Condition Monitoring and Diagnosis System Based on Evidence Weight
... and fault diagnosis are performed for mechanical equipment to meet engi- neering ...a fault, but a complex nonlinear mapping relationship is present ...
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Study on diagnosis algorithm based on wavelet transform for rolling bearing
... rolling bearing surface damage fault, in this paper the wavelet transform method is used for its fault diagnosis, in this algorithm we can obtain the spectrum of the vibration velocity signal by ...
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Generalized Demodulation Transform for Bearing Fault Diagnosis Under Nonstationary Conditions and Gear Noise Interferences
... detect bearing fault under nonstationary conditions and gear noise ...new fault diagnosis strategy is proposed to remove gear interferences and spectrum smearing phenomenon without the tachometer and ...
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Fault Detection and Diagnosis of Electric Drives Using Intelligent Machine Learning Approaches
... for fault detection purposes [87, 74]. OCCs are outlier detection techniques [37], which aims to detect the normal condition or the tar- get class and reject abnormal samples or the outliers, in this ...
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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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Design and Implementation of Fault Tolerant Digital System
... ABSTRACT: This paper proposes an architecture for self- repairing digital system inspired by an endocrine cellular communication in human body. Fault tolerance means system should be able to continue functioning ...
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DIAGNOSING THE MACHINERY BEARING FAULT BASED ON CLUSTER MODELS
... The detection and diagnosis of bearing fault have been an important subject for the past few ...the bearing after the bearing had completed its design ...
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Intelligent Ball Bearing Fault Diagnosis by using Fractional Lorenz Chaos Extension Detection Method with Acceleration Sensor
... a detection method from Extension theory to analyze the voltage ...measured bearing signals by acceleration sensor were introduced into the master and slave systems through a Chua’s ...ball bearing ...
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