scholarly journals Support Vector Machine with Wavelet Decomposition Method for Fault Diagnosis of Tapered Roller Bearings by Modelling Manufacturing Defects

2017 ◽  
Vol 61 (4) ◽  
pp. 276
Author(s):  
Krisztián Deák ◽  
Imre Kocsis
Keyword(s):  
Support Vector Machine ◽  
Wavelet Decomposition ◽  
Fault Classification ◽  
Support Vector ◽  
Test Rig ◽  
Manufacturing Defects ◽  
Roller Bearings ◽  
Vibration Signature ◽  
Tapered Roller ◽  
Tapered Roller Bearings

Tapered roller element bearings are generally applied in machines and transmission gearboxes. In manufacturing outer ring, inner ring and the rollers usually suffer damages. It is a challenging task to reveal and classify the defects. This paper presents an efficient method for fault classification by support vector machines. The faults on the bearing parts created by laser beam machine have similar shape and surface topography as the grinding faults from the manufacturing process. Vibration signature is collected by sensitive transducer and high resolution data acquisition unit. A test-rig is constructed to model the circumstances of the operation of the built-in tapered roller bearings. Moreover, test-rig is planned with the aim to mitigate the harmful vibration components from the environment that influence the precision of the vibration measurement. Feature extraction is executed by wavelet decomposition. Decomposition level is determined by FFT considering the structural frequencies of the bearing elements. The proper wavelet is selected by the Energy-to-Shannon Entropy criteria from Daubechies and Symlet wavelet families. The fault classification is done by R Cran software using support vector machine classifiers. Time domain parameters of the vibration signature such as kurtosis, skewness, crest factor and range are provided to the classifier. Classification rates are high enough to ensure the efficiency of the method in all cases in the study.

Paper 3: Fluid Lubrication of Tapered Roller Bearings

1969 ◽  
Vol 184 (12) ◽  
pp. 18-25 ◽  
Author(s):  
G. R. Higginson ◽  
R. H. Leaver
Keyword(s):  
Axial Loading ◽  
Operating Conditions ◽  
Test Rig ◽  
Detailed Consideration ◽  
Mineral Oils ◽  
Roller Bearings ◽  
Wide Range ◽  
Load Carrying ◽  
Tapered Roller ◽  
Tapered Roller Bearings

A new test rig is used to investigate the mode of lubrication of tapered roller bearings under axial loading. Two different bearing configurations for a 21/4-in shaft are used. The lubricants are mineral oils. The investigation establishes the nature of the lubrication at the load-carrying points in the bearing, at the inner and outer rings, and at the flange on the inner ring. Measurements of friction losses are made over a wide range of operating conditions; these are analysed theoretically, and are substantially accounted for by modern lubrication theory and a detailed consideration of the geometry of the bearings as a whole.

scholarly journals Geometrical Optimization of the EHL Roller Face/Rib Contact for Energy Efficiency in Tapered Roller Bearings

Lubricants ◽  
2021 ◽  
Vol 9 (7) ◽  
pp. 67
Author(s):  
Sven Wirsching ◽  
Max Marian ◽  
Marcel Bartz ◽  
Thomas Stahl ◽  
Sandro Wartzack
Keyword(s):  
Energy Efficiency ◽  
Carrying Capacity ◽  
Tribological Behavior ◽  
Large Radius ◽  
Load Carrying Capacity ◽  
Statistical Design Of Experiments ◽  
Roller Bearings ◽  
Load Carrying ◽  
Tapered Roller ◽  
Tapered Roller Bearings

In the context of targeted improvements in energy efficiency, secondary rolling bearing contacts are gaining relevance. As such, the elastohydrodynamically lubricated (EHL) roller face/rib contact of tapered roller bearings significantly affects power losses. Consequently, this contribution aimed at numerical optimization of the pairing’s macro-geometric parameters. The latter were sampled by a statistical design of experiments (DoE) and the tribological behavior was predicted by means of EHL contact simulations. For each of the geometric pairings considered, a database was generated. Key target variables such as pressure, lubricant gap and friction were approximated by a meta-model of optimal prognosis (MOP) and optimization was carried out using an evolutionary algorithm (EA). It was shown that the tribological behavior was mainly determined by the basic geometric pairing and the radii while eccentricity was of subordinate role. Furthermore, there was a trade-off between high load carrying capacity and low frictional losses. Thereby, spherical or toroidal geometries on the roller end face featuring a large radius paired with a tapered rib geometry were found to be advantageous in terms of low friction. For larger lubricant film heights and load carrying capacity, spherical or toroidal roller on toroidal rib geometries with medium radii were favorable.

scholarly journals Analog Circuit Fault Diagnosis Based on Support Vector Machine Classifier and Fuzzy Feature Selection

Electronics ◽  
2021 ◽  
Vol 10 (12) ◽  
pp. 1496
Author(s):  
Hao Liang ◽  
Yiman Zhu ◽  
Dongyang Zhang ◽  
Le Chang ◽  
Yuming Lu ◽  
...  
Keyword(s):  
Support Vector Machine ◽  
Fault Diagnosis ◽  
Mutual Information ◽  
Analog Circuit ◽  
Fault Classification ◽  
Support Vector ◽  
Svm Classifier ◽  
Fault Parameters ◽  
Diagnosis Method ◽  
Circuit Fault Diagnosis

In analog circuit, the component parameters have tolerances and the fault component parameters present a wide distribution, which brings obstacle to classification diagnosis. To tackle this problem, this article proposes a soft fault diagnosis method combining the improved barnacles mating optimizer(BMO) algorithm with the support vector machine (SVM) classifier, which can achieve the minimum redundancy and maximum relevance for feature dimension reduction with fuzzy mutual information. To be concrete, first, the improved barnacles mating optimizer algorithm is used to optimize the parameters for learning and classification. We adopt six test functions that are on three data sets from the University of California, Irvine (UCI) machine learning repository to test the performance of SVM classifier with five different optimization algorithms. The results show that the SVM classifier combined with the improved barnacles mating optimizer algorithm is characterized with high accuracy in classification. Second, fuzzy mutual information, enhanced minimum redundancy, and maximum relevance principle are applied to reduce the dimension of the feature vector. Finally, a circuit experiment is carried out to verify that the proposed method can achieve fault classification effectively when the fault parameters are both fixed and distributed. The accuracy of the proposed fault diagnosis method is 92.9% when the fault parameters are distributed, which is 1.8% higher than other classifiers on average. When the fault parameters are fixed, the accuracy rate is 99.07%, which is 0.7% higher than other classifiers on average.

Tandem tapered roller bearings no-load torque loss in a rear axle gear transmission

2021 ◽  
Vol 157 ◽  
pp. 106876
Author(s):  
Justino A.O. Cruz ◽  
Pedro M.T. Marques ◽  
Jorge H.O. Seabra ◽  
Ramiro C. Martins
Keyword(s):  
Rear Axle ◽  
Gear Transmission ◽  
Load Torque ◽  
Roller Bearings ◽  
Torque Loss ◽  
Tapered Roller ◽  
Tapered Roller Bearings

scholarly journals In-Process Measurement for the Process Control of the Real-Time Manufacturing of Tapered Roller Bearings

Materials ◽  
2018 ◽  
Vol 11 (8) ◽  
pp. 1371 ◽  
Author(s):  
Francisco Brosed ◽  
A. Zaera ◽  
Emilio Padilla ◽  
Fernando Cebrián ◽  
Juan Aguilar
Keyword(s):  
Real Time ◽  
Measurement Procedure ◽  
Axial Loads ◽  
Machining Processes ◽  
Process Measurement ◽  
Roller Bearings ◽  
Tapered Roller ◽  
Environmental Process ◽  
Tapered Roller Bearings ◽  
Component Assembly

Tapered roller bearings can accommodate high radial loads as well as high axial loads. The manufacturing process consists of machining processes for ring and component assembly. In this contribution, the parameters of influence on the measurement procedure were studied. These parameters of influence were classified as environmental, process, and machine parameters. The main objective of this work was to optimize the process using real-time measurements, which required the study of the influence of several parameters on the measurement uncertainty and how to correct their effects.

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