A comprehensive reliability allocation method for series systems based on failure mode and effects analysis transformed functions

2016 ◽  
Vol 230 (12) ◽  
pp. 2239-2248 ◽  
Author(s):  
Zhou Yang ◽  
Panxue Liu ◽  
Yunpeng Zhu ◽  
Yimin Zhang
Keyword(s):  
Failure Mode ◽  
Engineering Practice ◽  
Analysis Method ◽  
Reliability Allocation ◽  
System A ◽  
Allocation Method ◽  
Linear Transform ◽  
Transform Coefficients ◽  
Comprehensive Reliability ◽  
Series Systems

In order to address the reliability allocation problem of the series system, a comprehensive reliability allocation method based on a transformed function of the failure mode and effects analysis is introduced. First, considering multiple factors that affect the reliability allocation, an allocation matrix is established by employing significance factors. Subsequently, to overcome the limitations of the conventional failure mode and effects analysis–based allocation method, non-linear transform laws of failure severity and occurrence, known as transformed functions, are established. The reliability allocation results could be adjusted appropriately by choosing transform coefficients according to the desired allocation results of the system. Then, the transformed failure mode and effects analysis and the comprehensive allocation matrix are combined to give an allocation vector. Finally, a computerized numerical controlled lathe and a spindle system are used as examples. The allocation results of the transformed method, the conventional failure mode and effects analysis method and those in the correlated references are compared to emphasize the significance of the proposed allocation method in engineering practice.

A Reliability Allocation Method Considering Failure Dependence

2013 ◽  
Author(s):  
Zhong-Zhe Chen ◽  
Yu Liu ◽  
Hong-Zhong Huang ◽  
Xuehai Wu ◽  
Liping He
Keyword(s):  
Prediction Model ◽  
Optimal Allocation ◽  
High Reliability ◽  
Copula Function ◽  
Reliability Prediction ◽  
Engineering Practice ◽  
Copula Functions ◽  
Reliability Allocation ◽  
Allocation Method ◽  
Failure Dependence

Traditional reliability allocation methods are based on the assumption that the subsystems of a system are independence in order to simplify the problem. However, this assumption could deviate from the engineering practice. To achieve the reliability requirement of the system, the subsystems must be allocated high reliability based on traditional reliability allocation approaches which neglect the dependence between subsystems. To solve this problem, an improved reliability allocation method is developed in this paper. Firstly, the failure dependence between subsystems of mechanical systems is characterized using Copula functions. Secondly, a reliability prediction model considering failure dependence is formulated based on Copula function, Furthermore, the improved reliability allocation method according to relative failure rate is proposed. Finally a numerical case is presented to illustrate the proposed approach. The optimal allocation result shows that the system can achieve reliability requirement without high reliability demand to some subsystems, which could reduce the unnecessary cost.

A comprehensive reliability allocation method for design of CNC lathes

2001 ◽  
Vol 72 (3) ◽  
pp. 247-252 ◽  
Author(s):  
Yiqiang Wang ◽  
Richard C.M. Yam ◽  
Ming J. Zuo ◽  
Peter Tse
Keyword(s):  
Reliability Allocation ◽  
Allocation Method ◽  
Comprehensive Reliability

Research on Reliability Allocation Method for NC Grinding Machine

2014 ◽  
Vol 599-601 ◽  
pp. 1244-1248
Author(s):  
Hang Hong He
Keyword(s):  
Entropy Method ◽  
Analysis Method ◽  
Reliability Allocation ◽  
Interval Analysis Method ◽  
Multiple Factors ◽  
Allocation Method ◽  
Discrimination Information ◽  
Grinding Machine ◽  
Nc Grinding ◽  
Minimum Discrimination Information

Reliability allocation is a collection problem of engineering decision, multiple factors comprehensive balance and process optimization. Considering that both the factors that influenced the reliability allocation and their weights have the characteristics of uncertainty, which always be ignored .Therefore a subjective and objective combined weights method that combined the entropy method and Interval analysis method was proposed. Taking NC grinding machine as an example, firstly, establish the reliability objective function based on the minimum discrimination information principle, and employ the Lagrange multiplier to get the combined weights of the 6 factors. Then use the fuzzy comprehensive allocation method to obtain the reliability allocation results, which was compared with the actual accumulated data, so that the feasibility and effectiveness of this method was verified.

A Comprehensive Reliability Allocation Method of Feed Mixers Based on Fuzzy Synthetic Assessment

2015 ◽  
Author(s):  
Dong Yang ◽  
Yu Sun ◽  
Kai Wu
Keyword(s):  
Fuzzy Number ◽  
Influence Factors ◽  
Triangular Fuzzy Number ◽  
Uncertain Information ◽  
Allocation Model ◽  
Reliability Allocation ◽  
Allocation Method ◽  
Fuzzy Synthetic Assessment ◽  
Comprehensive Reliability ◽  
Synthetic Assessment

To solve the problem that there are many factors influencing the reliability allocation of feed mixers, and some of which are difficult to analyze quantitatively, a comprehensive reliability allocation method is researched using triangular fuzzy number, fuzzy synthetic assessment and analytic hierarchy process. In this paper, a reliability allocation model is proposed for feed mixers, which considered several influence factors, and used triangular fuzzy number instead of real number to express uncertain information. It could make use of the reliability test information and experts’ experience comprehensively. Finally, the application of this method is illustrated with an example, and the result showed that the allocation method is feasible and effective for the reliability allocation of feed mixers.

Study on Energy Consumption Analysis Method of Distributed Cryogenic Separation System

2013 ◽  
Vol 732-733 ◽  
pp. 52-56
Author(s):  
Zhi Guo Wang ◽  
Lei Zhang ◽  
Chai Ling Yin
Keyword(s):  
Energy Use ◽  
Exergy Analysis ◽  
Waste Heat ◽  
Engineering Practice ◽  
Analysis Method ◽  
Analysis Model ◽  
Two Stage ◽  
Separation Plant ◽  
Flow Energy ◽  
Saving Effect

Cryogenic separation method is the main method to recycle NGL (Natural Gas Liquid). Oilfield two-stage expansion NGL cryogenic separation plant is a complex system composed of varieties of material flow, energy flow and equipments, is a typical distributed energy use system composed of three parts, energy supply, energy use and waste heat recovery. In this paper, according to the process characteristics of two-stage expansion cryogenic separation plant, three-box analysis method was used, the system was compartmentalized into six subsystems, represented the exergy analysis model of system—unit—equipment, given the specific analysis process and the assessment rules for the NGL system. Using the practical operational data, the writers conduct the exergy analysis on the operational working condition of Daqing oilfield NGL system. Based on the calculation results, this paper raises some proposals to improve the operational efficiency, and achieved a good energy saving effect in engineering practice.

Surface Analysis by Laser Ionization

MRS Bulletin ◽  
1987 ◽  
Vol 12 (6) ◽  
pp. 52-59 ◽  
Author(s):  
J.B. Pallix ◽  
C.H. Becker ◽  
N. Newman
Keyword(s):  
Mass Spectrometry ◽  
Surface Analysis ◽  
Depth Resolution ◽  
Laser Ionization ◽  
Analysis Method ◽  
Flight Mass Spectrometry ◽  
System A ◽  
Developed Surface ◽  
Surface Analysis Method ◽  
High Depth

AbstractAn overview is presented of a recently developed surface analysis method that combines (1) desorption of neutral atoms and molecules from a sample, typically by sputtering, (2) efficient uniform ionization close to but above the surface by an intense ultraviolet laser beam, and (3) time-of-flight mass spectrometry. This technique, surface analysis by laser ionization, or SALI, provides extremely efficient and sensitive quantitative analysis of surfaces and materials with high depth resolution. Essentially any type of material can be analyzed as evidenced by the examples presented here: the Au-GaAs system, a phosphor-silicate glass, and a bulk polymer.

Sign in / Sign up

Export Citation Format

Share Document