Advanced Method for Mechanical Reliability Design

Xue Jie Fu; Bo Qiang Shi; Teng Fei Li

doi:10.4028/www.scientific.net/AMM.155-156.756

Paper Titles

Separating Nonstationary Powerline Interference from ECG Using Empirical Mode Decomposition
p.736

Analysis on Laser Welding of Hard Alloy Circular Saw Blades
p.741

The Research of the Wheel Loader Working Device
p.746

Design and Research of Testing Soil for Forest Formulated Fertilization System
p.751

Advanced Method for Mechanical Reliability Design
p.756

Research on 3D Parametric Modeling and Virtual Assembly of Involute Modification Spur Gear Based on Solidworks
p.761

Study on Data Acquisition for Heavy Off-Road Vehicle AT Testing
p.765

Application of ACO-SVM in Chinese Text Feature Selection
p.770

Study on Axial Contact Deformation of Planetary Roller Screw
p.779

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 155-156Advanced Method for Mechanical Reliability Design

Advanced Method for Mechanical Reliability Design

Abstract:

The damage or deterioration of the mechanical components is a complex and non-linear evolutionary process, but this evolution was not included into the traditional mechanical design method. Therefore, the reliability’s accuracy rate declined over time by this method. To describe the actual situation, combining the time-dependent design method and the maximum predictable time theory, a new design method is presented. By using this method, the reliability of all time horizons can be gained to predict the trend of key parts’ reliability for all machines. This research can also provide a basis for maintenance of machine.

You might also be interested in these eBooks

Mechanical Engineering and Green Manufacturing II

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 155-156)

Pages:

756-760

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.155-156.756

Citation:

Cite this paper

Online since:

February 2012

Authors:

Xue Jie Fu, Bo Qiang Shi, Teng Fei Li

Keywords:

Maximum Predictable Time, Mechanical Design Method, Reliability, Time-Dependent

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] B.Q. Shi, Y.H. Shen. Fractal method of mechanical fault diagnosis (2001).

Google Scholar

[2] Ionescu D.C., Ulmeanu A.P., Constantinescu A.C. etc. Reliability Modeling of Medium Voltage Distribution Systems of Nuclear Power Plants Using Generalized Stochastic Petri Nets[J]. Computers and Mathematics with Applications, 2006(51): 285-290.

DOI: 10.1016/j.camwa.2005.11.014

Google Scholar

[3] H.A. Jensen, D.S. Kusanovic. Reliability-based optimization of stochastic systems using line search, Computer methods in applied mechanics and engineering. 2009, 198, 3915–3924.

DOI: 10.1016/j.cma.2009.08.016

Google Scholar

[4] Huang C.Y., Chang Y.R. An Improved Decomposition Scheme for Assessing the Reliability of Embedded Systems by Using Time-Dependent Fault Trees[J]. Reliability Engineering and System Safety, 2007(92): 1403-1412.

DOI: 10.1016/j.ress.2006.09.008

Google Scholar

[5] Phani R. Adduri, Ravi C. Penmetsa. Confidence bounds on component reliability in the presence of mixed uncertain variables. International Journal of Mechanical Sciences, 2008, 50, 481–489.

DOI: 10.1016/j.ijmecsci.2007.09.015

Google Scholar

[6] Ph. Bressolette, M. Fogli. A stochastic collocation method for large classes of mechanical problems with uncertain parameters. Probabilistic Engineering Mechanics, 2010, 25, 255–270.

DOI: 10.1016/j.probengmech.2010.01.002

Google Scholar