The Comprehensive Diagnostic Method Combining Rough Sets and Evidence Theory

Yang, Guang; Yu, Shuofeng; Lu, Shan; Smith, G. D.

doi:10.2478/amns.2021.2.00006

Cited by 5 publications

(2 citation statements)

References 10 publications

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“…In addition to the above-mentioned analysis methods, fault diagnosis is accurately achieved when fault analysis is combined with artificial intelligence (AI) algorithms, such as Kalman filter [16], expert system reasoning [17], Bayes estimation [18], petri nets [19], cluster analysis [20], and classical reasoning, etc. AI algorithms: neural network [21] and support vector machine [22] etc., fuzzy set theory [23], and rough set theory [24] etc. are also widely applied to the area of fault diagnosis using multi-source information fusion, and they are researched in a good prospect.…”

Section: Introductionmentioning

confidence: 99%

Study on Algorithm of fault recording analysis combining its time-domain waveforms and phase-domain trajectories

Ge,

Ren,

2023

Preprint

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When the period of a sinusoidal waveform is taken as a baseline, after sampling time of fault recording are transformed into polar angles and its instantaneous values are transformed into polar diameters, the recording is transformed from its time-domain waveform in a rectangular coordinate system into the phase-domain trajectory in a polar coordinate system. In the paper the recording is analyzed base on the combination of the time-domain waveform and the phase-domain trajectory of the fault recording to mine fault feature parameters for reformulating the recording, and then the reformulated recording is used to substitute the original one to achieve various fault analysis functions in power systems. A short-circuit current containing a dc component being taken as an example, the algorithm consisting of separating, reformulating and adjusting various components from the current waveform are researched. By the algorithm the programs are created in Matlab, after their running the post-adjustment reformulated waveforms with high accuracy are obtained, and their curves of absolute errors pre- and post-adjustment are plotted. The relational problems, such as the calculation of the phase angles of samples and their errors, the accuracy of the reformulated waveforms, etc., are discussed. The research results show that there is a high correlation between the reformulated waveform using the algorithm proposed in the paper and the original one for the fault recording with only dc components, and it can be used to substitute the origin one within an error range.

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Section: Introductionmentioning

confidence: 99%

Study on Algorithm of fault recording analysis combining its time-domain waveforms and phase-domain trajectories

Ge,

Ren,

2023

Preprint

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“…Therefore, in order to shorten the calculation time in large-scale surge analysis, it is necessary to develop a multi-core and multi-thread parallel solution method for linear equations. The classical process of computer modeling is shown in Figure 1 [ 7]. In this study, a sparse linear equation solver implemented on a shared memory machine provided by Intel MKL is used to develop a high-performance finite element analysis program for surge, and some theoretical solutions and experimental results are used to verify the developed program.…”

Section: Introductionmentioning

confidence: 99%

Computer big data modeling system based on finite element mathematical equation simulation

Xiong

Nie

Bayatti

2022

Applied Mathematics and Nonlinear Sciences

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In the traditional computer analysis system, the equipment is cumbersome and takes up space, and is gradually being eliminated by the market. In view of the characteristics of small size, large throughput and high precision of computer systems in the era of big data, in order to solve the phenomenon of swell disasters induced by high-speed moving landslides, debris flows and glaciers impacting water bodies in enclosed waters, a mathematical equation based on finite element was developed. The sparse linear multi-thread parallel solving system of the group, using the sparse linear equation solver implemented on the shared memory machine provided by Intel MKL, completed the design of the high-performance finite element analysis program for surge. The theoretical solution and numerical calculation results of vertical dam failure and laboratory experimental results show that the normalized error between the theoretical value calculated by the calculation system designed in this paper and the actual value obtained from the experiment is only 5.2%~6.8% In between, it is verified that the system has rapid reliability and practical engineering significance.

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A Review on Fault Recording Analysis and Its Theories and Algorithms

Ge,

Ren,

2024

Lecture Notes in Electrical Engineering

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The Comprehensive Diagnostic Method Combining Rough Sets and Evidence Theory

Cited by 5 publications

References 10 publications

Study on Algorithm of fault recording analysis combining its time-domain waveforms and phase-domain trajectories

Study on Algorithm of fault recording analysis combining its time-domain waveforms and phase-domain trajectories

Computer big data modeling system based on finite element mathematical equation simulation

A Review on Fault Recording Analysis and Its Theories and Algorithms

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