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 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.

The Evaluation of Drought Degree in Irrigation District Based on Variable Fuzzy Evaluation Method

2012 ◽  
Vol 212-213 ◽  
pp. 731-738
Author(s):  
Dan Liu ◽  
Ben De Wang
Keyword(s):  
Fuzzy Sets ◽  
Evaluation Method ◽  
Entropy Method ◽  
Irrigation District ◽  
Fuzzy Evaluation ◽  
Discrimination Information ◽  
The One ◽  
Sets Theory ◽  
Minimum Discrimination Information ◽  
Variable Fuzzy Sets

In view of the disadvantages of drought evaluation methods in irrigation district, the variable fuzzy sets theory has been adopted in this paper to establish the variable fuzzy sets drought evaluation method in irrigation district. At the same time, the improved entropy method has been employed to determine the objective weights and the minimum discrimination information principle has been used to combine the subjective weights with the objective weights, which have eliminated the one-sidedness of the application of a single weighting preferred program.

Experiment Research on the Temperature Field and Thermal Error Distribution of NC Grinding Machine

2009 ◽  
Vol 76-78 ◽  
pp. 61-66
Author(s):  
Ya Dong Gong ◽  
Yan Guang Bai ◽  
Yue Ming Liu ◽  
Jian Qiu
Keyword(s):  
Mathematical Model ◽  
Temperature Field ◽  
Infrared Camera ◽  
Thermal Error ◽  
Error Distribution ◽  
Measurement Technology ◽  
Actual Error ◽  
Grinding Machine ◽  
The Mathematical Model ◽  
Nc Grinding

With the help of the infrared camera temperature measurement technology, the systemic theoretical analysis and experimental research for temperature field and thermal error distribution in NC grinding machine is provided. Two different situations for temperature field and thermal error distribution are respectively measured while the free and loaded grinding by the new measurement method. The mathematical model of thermal error is built, and it shows that the actual error and the forecasted error from thermal error mathematical model have good comparability.

scholarly journals ASSESSMENT OF URBAN SPRAWL USING SHANNON’S ENTROPY AND FRACTAL ANALYSIS: A CASE STUDY OF ATAKUM, ILKADIM AND CANIK (SAMSUN, TURKEY)

2017 ◽  
Vol 25 (3) ◽  
pp. 264-276 ◽  
Author(s):  
Derya OZTURK
Keyword(s):  
Urban Sprawl ◽  
Fractal Analysis ◽  
Urban Form ◽  
Entropy Method ◽  
Shannon’S Entropy ◽  
Analysis Method ◽  
Maximum Likelihood Classification ◽  
Shannon's Entropy ◽  
Box Counting

Urban sprawl is one of the most important problems in urban development due to its negative environmental and societal impacts. Therefore, the spatial pattern of urban growth should be accurately analyzed and well understood for effective urban planning. This paper focuses on urban sprawl analysis in the Atakum, Ilkadim and Canik districts of Samsun, Turkey. In this study, urban sprawl was examined over a period of 24 years using Shannon's entropy and fractal analysis based on remote sensing and Geographic Information System (GIS). The built-up areas in 1989, 2000 and 2013 were extracted from Landsat TM/ETM+/OLI images using the maximum likelihood classification method, and urban form changes in the 1989–2013 period were investigated. The Shannon's entropy method was used to determine the degree of urban sprawl, and a fractal analysis method based on box counting was used to characterize the urban sprawl. The results show that Atakum, Ilkadim and Canik experienced important changes and have considerable sprawl and complex characteristics now. The study also revealed that there is no monotonic relationship between Shannon's entropy and fractal dimension.

Constrained Minimum Discrimination Information: A Unifying Tool for Modeling Spatial and Individual Choice Behavior

1982 ◽  
Vol 14 (10) ◽  
pp. 1341-1354 ◽  
Author(s):  
K E Haynes ◽  
F Y Phillips
Keyword(s):  
Choice Behavior ◽  
Applied Research ◽  
Probabilistic Models ◽  
Estimation Methods ◽  
Regression Estimation ◽  
Individual Choice ◽  
Wide Range ◽  
Alternative Hypotheses ◽  
Discrimination Information ◽  
Minimum Discrimination Information

Mathematical programming and statistical inference are combined in a constrained minimum discrimination information (MDI) method to provide a basis for a wide range of spatial and individual choice behavior problems. This approach offers an alternative to linear and loglinear regression estimation methods as well as probabilistic models of the logit and probit variety. Some logical and computational difficulties inherent in these approaches are resolved. Further, the approach leads endogenously to alternative hypotheses if the null hypothesis is rejected, and hence has implications for the interaction between research that is oriented toward theory construction and applied research that is empirically oriented.

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