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A New PV Array Fault Diagnosis Method Using Fuzzy C-Mean Clustering and Fuzzy Membership Algorithm
2018
Energies
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The PV array's electrical behavior characteristics under fault conditions is analyzed in this paper, and a novel PV array fault diagnosis method is proposed based on fuzzy C-mean (FCM) and fuzzy membership ...
Zhao et al. [13] used a decision tree algorithm for PV array fault diagnosis, but this method is too dependent on the measured fault sample data to be fully practical. ...
To verify the adaptability of the proposed method when a new fault was coming, a new fault named F7 which six PV modules are shaded in one string is addressed. ...
doi:10.3390/en11010238
fatcat:j5crnv4g3bdvtnyrvbk4nqzh6e
A New Method of Wind Turbine Bearing Fault Diagnosis Based on Multi-Masking Empirical Mode Decomposition and Fuzzy C-Means Clustering
2019
Chinese Journal of Mechanical Engineering
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Based on Multi-Masking Empirical Mode Decomposition (MMEMD) and fuzzy c-means (FCM) clustering, a new method of wind turbine bearing fault diagnosis FCM-MMEMD is proposed, which can determine the fault ...
Experiments of bearing fault diagnosis in wind turbine bearing fault diagnosis proved the validity and high accuracy of the new method. which permits unrestricted use, distribution, and reproduction in ...
Conclusions (1) A new bearing fault diagnosis method FCM-MMEMD is presented. ...
doi:10.1186/s10033-019-0356-4
fatcat:ocachu3fvbdzzb62duti2dkr5m
A New Similarity Measure of Generalized Trapezoidal Fuzzy Numbers and Its Application on Rotor Fault Diagnosis
2013
Mathematical Problems in Engineering
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This paper proposed a new similarity measure of generalized trapezoidal fuzzy numbers used for fault diagnosis. ...
Fault diagnosis technology plays a vital role in the variety of critical engineering applications. ...
Based on the proposed similarity measure, we present a new fuzzy fault diagnosis algorithm for dealing with rotor fault diagnosis problem, where the values of the evaluating items are represented by generalized ...
doi:10.1155/2013/824706
fatcat:lmdclzhilzghhffzvwd5gb5tx4
Fuzzy Concurrent Object Oriented Expert System for Fault Diagnosis in 8085 Microprocessor Based System Board
2014
International Journal of Advanced Research in Artificial Intelligence (IJARAI)
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Research on fault diagnosis in microprocessor based system boards using new fuzzy-object oriented approach is presented in this paper. ...
Fault diagnosis in microprocessor based boards needs lot of empirical knowledge and expertise and is a true artificial intelligence problem. ...
[16] built a fuzzy expert system for fault diagnosis in electric distribution system. ...
doi:10.14569/ijarai.2014.030902
fatcat:mtyyy4oemfg2tk44dmcmfhlw2i
Research on Intelligent Fault Diagnosis Methods for Electronic Equipment
2017
DEStech Transactions on Engineering and Technology Research
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and points out the drawbacks of these methods, at last making a summary. ...
, further introduces the fault diagnosis methods commonly used at home and abroad, the paper mainly analyzes and compares five different intelligent fault diagnosis methods based on knowledge at home, ...
Therefore, it is a difficult and meaningful work to explore the intelligent fault diagnosis method for electronic equipment and to apply it in practice. ...
doi:10.12783/dtetr/eeta2017/7707
fatcat:6jbwae2xcrb2lmvxeyz4332jqu
Research of Fault Diagnosis in Flight Control System Based on Fuzzy Neural Network
2011
Procedia Engineering
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Based on fuzzy mathematics and the neural network method, with the combination of fault datas of B737NG aircraft flight control system and experts experiences, this paper built a fuzzy neural network ( ...
, as well as ensures flight safety and provides a new point of view for establishing the aviation maintenance auxiliary decision system. ...
fuzzy neural network fault diagnosis model method is more superior than neural network fault diagnosis model both in precision and speed. ...
doi:10.1016/j.proeng.2011.08.015
fatcat:pa7ihmjgavbfrpyioliyvstxfm
A Fault Diagnosis Method of Industrial Robot Rolling Bearing Based on Data Driven and Random Intuitive Fuzzy Decision
2019
IEEE Access
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The experimental results show that the method proposed in this paper can overcome the fuzziness of the traditional method, and provides a new theoretical method for the fault diagnosis of rolling bearing ...
This paper introduces a new method based on experimental data-driven random fuzzy evidence acquisition and intuitionistic fuzzy sets fusion (IFSF). ...
IFSF to obtain a new fault diagnosis method. ...
doi:10.1109/access.2019.2944974
fatcat:s45shnj25vb6fiednrz6znxtb4
Study on a novel fault diagnosis method based on integrating EMD, fuzzy entropy, improved PSO and SVM
2017
Journal of Vibroengineering
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In order to effectively improve the fault diagnosis accuracy of motor bearing, a new fault diagnosis method based on integrating empirical mode decomposition(EMD), fuzzy entropy, improved particle swarm ...
And then a new fault diagnosis method is obtained. Finally, the actual vibration signals of motor bearing are selected to verify the effectiveness of the proposed fault diagnosis method. ...
A new fault diagnosis method
The idea of new fault diagnosis method The effective diagnosis method can ensure the safety and reliable operation of motor. ...
doi:10.21595/jve.2017.18052
fatcat:o77f2ylddzgenegl7wkjrykie4
Dissolved Gas Analysis Principle-Based Intelligent Approaches to Fault Diagnosis and Decision Making for Large Oil-Immersed Power Transformers: A Survey
2018
Energies
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Compared with conventional methods of fault diagnosis for power transformers, which have defects such as imperfect encoding and too absolute encoding boundaries, this paper systematically discusses various ...
Moreover, this paper concludes that a variety of intelligent algorithms should be combined for mutual complementation to form a hybrid fault diagnosis network, such that avoiding these algorithms falling ...
[217] put forward a new diagnosis method based on fuzzy normal partition and logic reasoning for insulation fault of power transformer. ...
doi:10.3390/en11040913
fatcat:5abufqmt7rcrlkquxncgxame2m
A Fault Diagnosis Method Based on Semi - Supervised Fuzzy C - Means Cluster Analysis
2015
International Journal on Cybernetics & Informatics
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According to this, a novel fault diagnosis method based on semi-supervised fuzzy C-means(SFCM) cluster analysis is proposed. ...
As a classic unsupervised learning technology, fuzzy C-means cluster analysis plays a vital role in machine learning based intelligent fault diagnosis. ...
[11] proposed a new method of bearing fault diagnosis based on feature weighted FCM. G.Yu et al. ...
doi:10.5121/ijci.2015.4227
fatcat:yt7cv4turrcnhi5xvh37khx26a
Review of Artificial Intelligence Techniques Application to Dissolved Gas Analysis on Power Transformer
2011
International Journal of Computer and Electrical Engineering
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Transformers are a critical part of an electrical utility's asset base. ...
On-line monitoring and diagnostics is a useful tool to help operators to manage their assets and make decisions on continuing operation, maintenance or replacement. ...
FUZZY LOGIC APPLICATION TO DGA A Periodic maintenance of large power transformers fault diagnosis system has been proposed and implemented of fuzzy diagnosis to improve the conventional DGA methods. ...
doi:10.7763/ijcee.2011.v3.383
fatcat:lfdbx6ijkngbjmxolw6iou4yqm
MECHANICAL FAULT DIAGNOSIS BASED ON FUZZY CLUSTERING ALGORITHM
2018
International Journal of Mechatronics and Applied Mechanics
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(fuzzy kernel clustering based on density function) and vector -UGAFCM (uniform genetic fuzzy clustering) intelligent fault diagnosis method. ...
The experimental method was and the results showed that three fuzzy clustering validity indexes VXB, VKwon and VCWB applicable to the field of rotating machinery fault diagnosis were obtained. ...
Fuzzy classifier is built based on kernel function to form fault classifier, and a new fault diagnosis method based on full vector -fuzzy kernel clustering is formed. ...
doi:10.17683/ijomam/issue3.10
fatcat:butxlwrrtbf4zki7rlhs5lenca
The Application of Fuzzy Mathematics in the Diagnosis of Oil System Malfunction of Jet Engine
2019
DEStech Transactions on Computer Science and Engineering
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new method to the airplane malfuntion diagnosis service. ...
In this thesis we draw fuzzy mathematic method into the diagnosis of oil system malfunction of jet engine, bring forward setting up the fuzzy membership grade method which is based on the history data ...
Therefore, it is necessary for us to use the theory and method of fuzzy mathematics to provide a scientific and feasible new method for airplane fault diagnosis and maintenance. ...
doi:10.12783/dtcse/ica2019/30741
fatcat:gvyq7cgljnf6rgos3d273bgh5m
Fault Diagnosis of Gear Based on the Variable Fuzzy Similarity Nearness
2015
The Open Mechanical Engineering Journal
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A fuzzy nearness functionbased model is constructed to execute the fault diagnosis with the assistance of fuzzy nearness principles and fuzzy mathematical membership degree. ...
In order to improve the validity and accuracy of fault diagnosis on mechanical equipment, this study applies fuzzy nearness approach by adjusting the traditional formulations. ...
CONCLUSION This study proposed a new fuzzy nearness-based approach, which is an improvement of the traditional fuzzy nearness method and applied it into a fault diagnosis on gear system. ...
doi:10.2174/1874155x01509010846
fatcat:o5ftoq35vnavhkx7pmehv6qfhm
A Comprehensive Method Of Fault Detection And Isolation Based On Testability Modeling Data
2015
Zenodo
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The method above cannot give a more efficient diagnosis and use the advantages of the BIT. A Comprehensive method of fault detection and isolation is proposed. ...
Based on the dependency matrix, we can obtain the diagnosis tree. The tree provides the procedures of the fault detection and isolation. ...
The new method contains a series of steps, and every step contains very clear operations. A case study shows that this method can give a more effective and reasonable diagnosis result.
II. ...
doi:10.5281/zenodo.1100735
fatcat:oe74o2rpszbmlg3sklv4txech4
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