Analog circuits fault diagnosis using multi‐valued Fisher's fuzzy decision tree (MFFDT)

Cui, Yiqian; Shi, Junyou; Wang, Zili

doi:10.1002/cta.2075

Cited by 35 publications

(6 citation statements)

References 47 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Wireless Communications and Mobile Computing types. Use these data files as training samples to create a vague decision tree for customer analysis and analyze the key factors of customer change[28].…”

mentioning

confidence: 99%

[Retracted] Application of Fuzzy Decision Tree Algorithm Based on Mobile Computing in Sports Fitness Member Management

2021

Wireless Communications and Mobile Computing

View full text Add to dashboard Cite

After the reform and the opening, the economy of our country has developed rapidly, and the living conditions of the people have become better and better. As a result, they have a lot of time to pay attention to their health, which has promoted the rapid development of the sports and fitness industry in my country. In response to the increasing development of the sports and fitness sector of my country, the current state of the administration of members of the sports fitness industry does not keep pace with the development of the sports and fitness industry of my country. Based on this, this article uses a fuzzy decision tree algorithm to establish a decision tree based on the characteristics of customer data and loses existing customers. Analyzing the situation is of strategic significance for improving the competitiveness of the club. This article selects the 7 most commonly used data sets from the UCI data set as the initial experimental data for model training in three different formats and then uses the data of a specific club member to conduct experiments, using these data files as training samples to construct a vague analysis of the decision tree to overturn the customer to analyze the main factors of customer change. Experiments show that the fuzzy decision tree ID3 algorithm based on mobile computing has the highest accuracy in the Iris data set, reaching 97.8%, and the accuracy rate in the Wine data set is the smallest, only 65.2%. The mobile computing-based fuzzy decision tree ID3 algorithm proposed in this paper obtained the highest correct rate (86.32%). This shows that, compared to traditional analysis methods, the blurred decision tree obtained for churn client analysis has the advantages of high classification accuracy and is understandable so that ideal classification accuracy can be achieved when the tree is small.

show abstract

mentioning

confidence: 99%

[Retracted] Application of Fuzzy Decision Tree Algorithm Based on Mobile Computing in Sports Fitness Member Management

2021

Wireless Communications and Mobile Computing

View full text Add to dashboard Cite

show abstract

“…Technically, a data-driven approach can be divided into two phases: feature extraction and classifier application [11][12][13]. Obviously, feature extraction is the vital steps.…”

Section: Related Workmentioning

confidence: 99%

Analog Circuit Fault Diagnosis via Joint Cross-Wavelet Singular Entropy and Parametric t-SNE

Wei

et al. 2018

Entropy

View full text Add to dashboard Cite

Abstract:In this paper, a novel method with cross-wavelet singular entropy (XWSE)-based feature extractor and support vector machine (SVM) is proposed for analog circuit fault diagnosis. Primarily, cross-wavelet transform (XWT), which possesses a good capability to restrain the environment noise, is applied to transform the fault signal into time-frequency spectra (TFS). Then, a simple segmentation method is utilized to decompose the TFS into several blocks. We employ the singular value decomposition (SVD) to analysis the blocks, then Tsallis entropy of each block is obtained to construct the original features. Subsequently, the features are imported into parametric t-distributed stochastic neighbor embedding (t-SNE) for dimension reduction to yield the discriminative and concise fault characteristics. Finally, the fault characteristics are entered into SVM classifier to locate circuits' defects that the free parameters of SVM are determined by quantum-behaved particle swarm optimization (QPSO). Simulation results show the proposed approach is with superior diagnostic performance than other existing methods.

show abstract

“…The performance of proposed protection scheme in CCFs and CT saturation during external faults have not been investigated. Other techniques used to correctly detect and differentiate various events in the transformers include intelligent methods; these methods include wavelet transform, 9,10 Clark transforms, 11 decision tree, [12][13][14][15] and support vector machine. [16][17][18] Some of these methods require large data sets for training and depend on transformer parameters or initial conditions.…”

Section: Introductionmentioning

confidence: 99%

Transformer differential protection scheme based on self‐adaptive biased characteristic curve and considering cross‐country faults

Shahbazi

Bagheri

Gharehpetian

2022

Circuit Theory & Apps

View full text Add to dashboard Cite

The differential protection of transformers sometimes does not have reliable performance facing some faults and events such as saturation of current transformers (CTs) during internal and external faults, inrush currents, and crosscountry faults (CCFs). In this paper, a new transformer differential protection scheme based on the self-adaptive biased characteristic curve and considering CCFs and various disturbances are used. First, the maximum overlap discrete wavelet transform (MODWT) was used to extract the superior characteristics of sampled differential current of the transformer at different levels. Then, by calculating the duty cycle (D) values of energy coefficients extracted in each periodicity by MATLAB software, a new self-adaptive biased characteristic curve will be obtained in different operating conditions. Finally, the percentage differential protection operation is adjusted based on the new adaptive characteristic curve zones. Differential current sampling under different operating conditions was performed on a real three-phase transformer in EMTP software. The simulation results show that the proposed adaptive differential protection scheme can accurately detect various faults and events occurring in the transformer and increase system reliability.

show abstract

Analog circuits fault diagnosis using multi‐valued Fisher's fuzzy decision tree (MFFDT)

Cited by 35 publications

References 47 publications

[Retracted] Application of Fuzzy Decision Tree Algorithm Based on Mobile Computing in Sports Fitness Member Management

[Retracted] Application of Fuzzy Decision Tree Algorithm Based on Mobile Computing in Sports Fitness Member Management

Analog Circuit Fault Diagnosis via Joint Cross-Wavelet Singular Entropy and Parametric t-SNE

Transformer differential protection scheme based on self‐adaptive biased characteristic curve and considering cross‐country faults

Contact Info

Product

Resources

About