Fault Inference of Electronic Equipment Based on Multi-State Fuzzy Bayesian Network
نویسندگان
چکیده
منابع مشابه
The Reliability Analysis of Horizontal Vibration of Elevator Based on Multi-State Fuzzy Bayesian Network
Reliability analysis is one of the important constituent parts of elevator safety evaluation. In order to obtain the exact value of fault probability of components in elevator system, by combining fuzzy theory with Bayesian network approach, we proposed a reliability analysis method of multi-state system based on fuzzy Bayesian networks. By expanding the traditional two-state Bayesian network t...
متن کاملFault Prediction of Electronic Equipment Based on Combination Prediction Model
Fault prediction is the precondition of Condition Based Maintenance (CBM), accurate prediction for equipment can not only make warning before failure occurs, but also reduce the cost of maintenance of complicated equipment and system. Therefore, it is of profound importance to make research on fault prediction of electronic equipment. This paper analyses some typical fault prediction method of ...
متن کاملVoting Algorithm Based on Adaptive Neuro Fuzzy Inference System for Fault Tolerant Systems
some applications are critical and must designed Fault Tolerant System. Usually Voting Algorithm is one of the principle elements of a Fault Tolerant System. Two kinds of voting algorithm are used in most applications, they are majority voting algorithm and weighted average algorithm these algorithms have some problems. Majority confronts with the problem of threshold limits and voter of weight...
متن کاملVoting Algorithm Based on Adaptive Neuro Fuzzy Inference System for Fault Tolerant Systems
some applications are critical and must designed Fault Tolerant System. Usually Voting Algorithm is one of the principle elements of a Fault Tolerant System. Two kinds of voting algorithm are used in most applications, they are majority voting algorithm and weighted average algorithm these algorithms have some problems. Majority confronts with the problem of threshold limits and voter of weight...
متن کاملA State Recognition Approach for Complex Equipment Based on a Fuzzy Probabilistic Neural Network
Jing Xu 1, Zhongbin Wang 1,*, Chao Tan 1,2 and Xinhua Liu 1 1 School of Mechatronic Engineering, China University of Mining and Technology, No. 1 Daxue Road, Xuzhou 221116, China; [email protected] (J.X.); [email protected] (C.T.); [email protected] (X.L.) 2 Xuyi Mine Equipment and Materials R&D Center, China University of Mining & Technology, No. 12-8 Jingui Road, Huai’an 211700, Chin...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Applied Sciences
سال: 2019
ISSN: 2076-3417
DOI: 10.3390/app9204248