scholarly journals Fault Diagnosis Based on Fuzzy Relation Matrix and Recognition

1999 ◽  
Vol 32 (2) ◽  
pp. 7844-7848
Author(s):  
Ying Huo ◽  
Chaozhen Hou ◽  
Shuangxi Liu
Keyword(s):  
Fault Diagnosis ◽  
Fuzzy Relation ◽  
Fuzzy Relation Matrix ◽  
Relation Matrix

Fault Diagnosis of Shearer Based on Fuzzy Inference

2011 ◽  
Vol 52-54 ◽  
pp. 1577-1580 ◽  
Author(s):  
Feng Gao ◽  
Lin Jing Xiao ◽  
Wei Yan Zhong ◽  
Wei Liu
Keyword(s):  
Fault Diagnosis ◽  
Fuzzy Inference ◽  
Characteristic Parameter ◽  
Fuzzy Relation ◽  
Inference System ◽  
Knowledge Expression ◽  
Human Thinking ◽  
Fuzzy Relation Matrix ◽  
Fuzzy Vector ◽  
Relation Matrix

The purpose of this study is to provide a correct and timely diagnosis mechanism of shearer failures by knowledge acquisition through a fuzzy inference system which could approximate expert experience. Concerning a question of uncertain knowledge expression and reasoning in shearer malfunction, the fuzzy inference theory is used in shearer malfunction fault diagnosis. The fuzzy relation matrix of faults and signs is deduced based on deep research of failure mechanism and expert experience, which agrees with fault and fault symptoms non one-to-one relationship and human thinking. Fault characteristic parameter is calculated to corresponding subordinate degree, then is operated with fuzzy relation matrix and get fault fuzzy vector. Finally, the shearer malfunction fault is diagnosed according to certain diagnosis principle. The example proves that the method has less calculation, explicit conclusion and other merits.

Fault Diagnosis of Construction Elevator Based on Fuzzy Recognition

2012 ◽  
Vol 529 ◽  
pp. 459-462
Author(s):  
Li Mei Liu ◽  
Jian Bin Li
Keyword(s):  
Fault Diagnosis ◽  
Fuzzy Relation ◽  
Recognition Method ◽  
Diagnosis System ◽  
Fault Diagnosis System ◽  
Fuzzy Relation Matrix ◽  
Fuzzy Recognition ◽  
Fuzzy Vector ◽  
Relation Matrix

Fault eigenvector, fault fuzzy vector and fuzzy relation matrix of the construction elevator is built on using the fuzzy recognition method in the fault diagnosis system of the elevator. On the basis of every fault membership obtained through fuzzy recognition, the equipment fault is confirmed according to max membership principle. The test shows it can effectively help to estimate cause of fault and to avoid the accidents when the fuzzy recognition method is used.

Measures of uncertainty for a fuzzy probabilistic approximation space

2021 ◽  
pp. 1-24
Author(s):  
Lijun Chen ◽  
Damei Luo ◽  
Pei Wang ◽  
Zhaowen Li ◽  
Ningxin Xie
Keyword(s):  
Set Theory ◽  
Rough Set ◽  
Rough Set Theory ◽  
Fuzzy Relation ◽  
Point Of View ◽  
Approximation Space ◽  
Fuzzy Approximation ◽  
Entropy Measurement ◽  
Fuzzy Relation Matrix ◽  
Relation Matrix

 An approximation space (A-space) is the base of rough set theory and a fuzzy approximation space (FA-space) can be seen as an A-space under the fuzzy environment. A fuzzy probability approximation space (FPA-space) is obtained by putting probability distribution into an FA-space. In this way, it combines three types of uncertainty (i.e., fuzziness, probability and roughness). This article is devoted to measuring the uncertainty for an FPA-space. A fuzzy relation matrix is first proposed by introducing the probability into a given fuzzy relation matrix, and on this basis, it is expanded to an FA-space. Then, granularity measurement for an FPA-space is investigated. Next, information entropy measurement and rough entropy measurement for an FPA-space are proposed. Moreover, information amount in an FPA-space is considered. Finally, a numerical example is given to verify the feasibility of the proposed measures, and the effectiveness analysis is carried out from the point of view of statistics. Since three types of important theories (i.e., fuzzy set theory, probability theory and rough set theory) are clustered in an FPA-space, the obtained results may be useful for dealing with practice problems with a sort of uncertainty.

scholarly journals Research on Fault Diagnosis of Hydraulic System of Fast Erecting Device Based on Fuzzy Neural Network

2022 ◽  
Author(s):  
Yangbing Zheng ◽  
Xiao Xue ◽  
Jisong Zhang
Keyword(s):  
Neural Network ◽  
Fault Diagnosis ◽  
Bp Neural Network ◽  
Hydraulic System ◽  
Fuzzy Neural Network ◽  
Simulation Analysis ◽  
Fuzzy Relation ◽  
Analysis Procedure ◽  
Fuzzy Neural ◽  
Simulation Results

In order to improve the fault diagnosis effectiveness of hydraulic system in erecting devices, the fuzzy neural neural network is applied to carry out fault diagnosis of hydraulic system. Firstly, the main faults of hydraulic system of erecting mechanism are summarized. The main faults of hydraulic system of erecting devices concludes abnormal noise, high temperature of hydraulic oil of hydraulic system, leakage of hydraulic system, low operating speed of hydraulic system, and the characteristics of different faults are analyzed. Secondly, basic theory of fuzzy neural network is studied, and the framework of fuzzy neural network is designed. The inputting layer, fuzzy layer, fuzzy relation layer, relationship layer after fuzzy operation and outputting layer of fuzzy neural network are designed, and the corresponding mathematical models are confirmed. The analysis procedure of fuzzy neural network is established. Thirdly, simulation analysis is carried out for a hydraulic system in erecting device, the BP neural network reaches convergence after 600 times iterations, and the fuzzy neural network reaches convergence after 400 times iterations, fuzzy neural network can obtain higher accuracy than BP neural network, and running time of fuzzy neural network is less than that of BP neural network, therefore, simulation results show that the fuzzy neural network can effectively improve the fault diagnosis efficiency and precision. Therefore, the fuzzy neural network is reliable for fault diagnosis of hydraulic system in erecting devices, which has higher fault diagnosis effect, which can provide the theory basis for healthy detection of hydraulic system in erecting devices.

Using a Fuzzy Quality Function Deployment Model to Identify Improvement Points in Airport Cargo Terminals

2005 ◽  
Vol 1935 (1) ◽  
pp. 130-140
Author(s):  
Gin-Shuh Liang ◽  
Tzeu-Chen Han ◽  
Tsung-Yu Chou
Keyword(s):  
Quality Assurance ◽  
Service Quality ◽  
Quality Function Deployment ◽  
Service Management ◽  
Practical Investigations ◽  
Fuzzy Relation ◽  
Quality Function ◽  
Customer Needs ◽  
Fuzzy Relation Matrix ◽  
Fuzzy Quality Function Deployment

The main purpose of this paper is to present a fuzzy quality function deployment model to achieve service quality assurance before implementing service action. First, customer needs with their importance and satisfaction levels acquired from practical investigations are constructed. Then, by combining the experts’ opinions, service management requirements are developed for satisfying the observed customer needs. In addition, a fuzzy relation matrix for linking service management requirements to customer needs is constructed on the basis of cross-functional expertise. The aggregated fuzzy assessments of different service management requirements are also ranked to prioritize and determine their importance. Finally, the Chiang Kai-shek International Airport cargo terminal in Taiwan is used to demonstrate the proposed approach.

A Study on Integrated Condition Assessment System for Bridge

2013 ◽  
Vol 361-363 ◽  
pp. 1144-1149
Author(s):  
Ming Li ◽  
Zi Lin Yi ◽  
Yang Wang
Keyword(s):  
Analytic Hierarchy Process ◽  
Condition Assessment ◽  
Fuzzy Relation ◽  
Assessment System ◽  
Service Performance ◽  
Fuzzy Mathematics ◽  
Analytic Hierarchy ◽  
Great Loss ◽  
Fuzzy Relation Matrix ◽  
Hierarchy Process

This paper mechanically applies the thought of recursive hierarchical structure in analytic hierarchy process, by means of fuzzy mathematics, with the investigation, analysis, induction, the fuzzy relation matrix has been found, at the same time, the assignment weight of index is merged into that. Then the integrated condition assessment results of bridge are gained finally. This method greatly reduces the happening of ill-considering the influencing factors, make the results more real, specific and comprehensive, avoid effectively great loss which is caused by the defects of safety and service performance.

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