An Improved Grey Relation Analysis Method and Its Application in Dynamic Description for a Polymer Flooding Pilot of Xingshugang Field, Daqing

As product structure becomes more and more complex, the fault mode presents a diversified trend, and it is more difficult to determine the causes of system failure for a complex product. The main objective of this study is to provide an effective failure analysis method based on the combination of fault trees analysis (FTA) and generalized grey relation analysis (GGRA) for complex product. In this method, the product system failure is defined and the fault tree is constructed by FTA methodology firstly; and then GGRA is employed to identify the correlations between each fault mode and the system failure; finally, the main causes of system failure are identified and the corresponding measures can be made. A case study of a WD615 Steyr engine is conducted throughout the text to verify the validity of this method. The present study would help facilitate the failure and reliability analysis for complex product and benefit designers for the product improvement.

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A Grey Relation Analysis Method to Vibration Fault Diagnosis of Hydroelectric Generating Set

TELKOMNIKA Indonesian Journal of Electrical Engineering ◽

10.11591/telkomnika.v12i8.5159 ◽

2014 ◽

Vol 12 (8) ◽

Author(s):

Wang Ruilian ◽

Gao Shengjian

Keyword(s):

Fault Diagnosis ◽

Analysis Method ◽

Grey Relation Analysis ◽

Generating Set ◽

Relation Analysis ◽

Grey Relation

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Grinding Wheel Abrasive in Material Selection Using Fuzzy Grey Relation Analysis Method

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.1022.18 ◽

2014 ◽

Vol 1022 ◽

pp. 18-21 ◽

Cited By ~ 1

Author(s):

Jian Hua Leng

Keyword(s):

Material Selection ◽

Influence Factors ◽

Selection Problem ◽

Variation Method ◽

Grinding Wheel ◽

Analysis Method ◽

Grey Relation Analysis ◽

Abrasive Material ◽

Relation Analysis ◽

Grey Relation

Material selection is an important step of product design process. There are often several influence factors in the grinding wheel abrasive material selection problem. This article will put forward a fuzzy grey relation analysis method to the grinding wheel abrasive material selection problem which influences factor (evaluation attribute) values expressed with triangular fuzzy numbers. The Coefficient of variation method will be adopted to determine the evaluation attributes’ weight. Finally, an example is used to analysis the effectiveness and feasibility of the proposed method.

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The Fault Tree Analysis of Striking Cylinder of Air Compressor Based on Grey Relation Theory

Key Engineering Materials ◽

10.4028/www.scientific.net/kem.392-394.672 ◽

2008 ◽

Vol 392-394 ◽

pp. 672-676

Author(s):

Guang Lin Zhou

Keyword(s):

Fault Tree ◽

Fault Tree Analysis ◽

Reliability Theory ◽

Analysis Method ◽

Grey Relation Analysis ◽

Tree Analysis ◽

Air Compressor ◽

Grey Systems Theory ◽

Relation Analysis ◽

Grey Relation

The grey relation analysis method of the grey systems theory is combined with the fault tree analysis method of reliability theory, and introduced to the analysis and diagnosis of striking cylinder of piston air-compressor. The various fault pattern occurrence possibilities in fault tree analysis of the striking cylinder of the piston air-compressor are analyzed and judged by calculating importance of the bottom event structure of the fault tree as well as the calculating and sorting of the grey relation degree, which provides theoretical basis for accurately preventing the fault occurrence. Calculation example showed the effectiveness and reliability of this method.

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Grey Relation Analysis Method for Material Selection Problem with Interval Numbers

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.1014.492 ◽

2014 ◽

Vol 1014 ◽

pp. 492-496 ◽

Cited By ~ 2

Author(s):

Lian Wu Yang

Keyword(s):

Decision Making ◽

Material Selection ◽

Selection Problem ◽

Variation Method ◽

Analysis Method ◽

Grey Relation Analysis ◽

Interval Numbers ◽

Attribute Weights ◽

Relation Analysis ◽

Grey Relation

Material selection is an important step in the product design process. Material selection problem contains many influence factors, and thus it is actually a multi-attribute decision making problem. In some situations, measure values cannot or unsuitable to be depicted by crisp numbers. Interval number is a suitable selection in these situations, and for the material selection problem with interval numbers, a new decision making method is developed based on grey relation analysis method. The attribute weights will be determined by the coefficient of variation method. Finally, a practical example is used to illustrate the effectiveness and feasibility of the proposed method.

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