Forecasting Method for Product Reliability Along with Performance Data

Xia, Xintao

doi:10.1007/s11668-012-9592-y

Cited by 14 publications

(13 citation statements)

References 24 publications

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“…The creation of the contact pair and the setting of the contact parameters are crucial issues on contact analysis [1,[4][5][6][8][9][10][11]. Considering the inner and outer rings whose surfaces are bigger and stiffness is higher than the roller, the inner and outer rings are set as target surfaces and the roller is set as a contact surface.…”

Section: Creation Of Contact Pairmentioning

confidence: 99%

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Effects of Misalignment in Cylindrical Roller Bearings on Contact between Roller and Inner Ring

Xia¹

2013

IOSRJEN

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Misalignment of roller has remarkable effects on the life span of bearings. Taking a cylindrical roller bearing N1015 as a research object, the contact stress between the roller and the raceway is studied by means of ANSYS in order to determine reasonably the angle of misalignment of roller. The results show that under the given load the misalignment of roller should be controlled in an appropriate range. Otherwise, the contact stresses between the roller and the raceway increase observably and the distribution of the contact stresses presents a complex asymmetry and nonuniformity.

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Section: Creation Of Contact Pairmentioning

confidence: 99%

“…The logarithmic curve generatrix is vertical symmetry and the symmetry lines coincide with y-axis, as shown in Figure 1. The misalignment of roller is that the axis of cylindrical roller does not parallel the axis of ring raceway of bearing and there is an angle between them, as shown in Figure 2 [4][5][6][7][8][9][10][11]. …”

Section: Introdutionmentioning

confidence: 99%

Effects of Misalignment in Cylindrical Roller Bearings on Contact between Roller and Inner Ring

Xia¹

2013

IOSRJEN

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“…In bearing reliability estimation, the selection of failure distribution model is of great importance, because it directly relates to the precision of reliability prediction and has a huge influence on the usability of bearing. If the predicted reliability value is too high and the product performance exceeds a fatigue limit of normal operation, particularly for aerospace, high-speed rail, nuclear reactor, precision meter, and such systems, it will result in major vicious accident or even affect the national security [1,2]. If the predicted reliability value is too low, the product function cannot be fully exploited, making the product lose its environmental adaption and leading to huge waste of conditional resources.…”

Section: Introductionmentioning

confidence: 99%

Estimation on Reliability Models of Bearing Failure Data

Xia

Chang

Zhang

et al. 2018

Mathematical Problems in Engineering

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The failure data of bearing products is random and discrete and shows evident uncertainty. Is it accurate and reliable to use Weibull distribution to represent the failure model of product? The Weibull distribution, log-normal distribution, and an improved maximum entropy probability distribution were compared and analyzed to find an optimum and precise reliability analysis model. By utilizing computer simulation technology and -s hypothesis testing, the feasibility of three models was verified, and the reliability of different models obtained via practical bearing failure data was compared and analyzed. The research indicates that the reliability model of two-parameter Weibull distribution does not apply to all situations, and sometimes, two-parameter lognormal distribution model is more precise and feasible; compared to three-parameter log-normal distribution model, the threeparameter Weibull distribution manifests better accuracy but still does not apply to all cases, while the novel proposed model of improved maximum entropy probability distribution fits not only all kinds of known distributions but also poor information issues with unknown probability distribution, prior information, or trends, so it is an ideal reliability analysis model with least error at present.

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“…Poor information means that characteristic information presented in the subject investigated is incomplete and insufficient, along with a small sample and the lack in prior knowledge. Experiments on rolling bearing performances concern primarily with statistical evaluation of the fatigue life [3,4]. By using fuzzy set theory, grey system theory, information entropy theory, and grey bootstrap theory [5,6 & 7], some scholars have studied the performance of rolling bearings for the urban rail and transit.…”

Section: Introductionmentioning

confidence: 99%

Progress in application on the prediction of rolling bearing performances for urban rail and traffic engineering

Xia¹,

Dong²,

Qin³

2015

Proceedings of the 3rd International Conference on Material, Mechanical and Manufacturing Engineering

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Abstract. At present, an unprecedented development situation of the urban rail and traffic engineering is presented. Bearing as a key component of vehicle operation safety, its performances and reliability should achieve higher requirements. Because the number of characteristic data of bearing performances is small and prior information on probability distributions and trends is poor, statistics has difficulty in assessing the bearing performance. In order to study the nonlinear dynamic characteristics of rolling bearing performances, a unified representation of variable uncertainty and function polytrope characteristics of rolling bearing performances are proposed in information-poor relation space, which reveals its evolvement rule of nonlinear dynamic characteristics. The development of bearing technology for the urban rail and traffic Engineering should comply with safe operation, high speed, a longer maintenance period and the excellent running comfort.

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Forecasting Method for Product Reliability Along with Performance Data

Cited by 14 publications

References 24 publications

Effects of Misalignment in Cylindrical Roller Bearings on Contact between Roller and Inner Ring

Effects of Misalignment in Cylindrical Roller Bearings on Contact between Roller and Inner Ring

Estimation on Reliability Models of Bearing Failure Data

Progress in application on the prediction of rolling bearing performances for urban rail and traffic engineering

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