Power Grid Fault Diagnosis based on Support Vector Machine

Huang, He; Lv, Yaming; Xue, Lei; Zhang, Xiangyu; Shen, Zeyuan; Jin, Bingchu

doi:10.1109/ei252483.2021.9713586

Cited by 1 publication

(2 citation statements)

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“…Time series analysis is a statistical method of statistical processing and analysis of ordered random data [13] . Assuming that observation data x ii, 1,2, ,n is a stationary, zero-mean time series, it can be fitted to a stochastic difference equation [14] of the following form: based on the AR model, the AR spectrum of the vibration signal is calculated and calculated. In the general AR spectrum, the fault information is abundant.…”

Section: Figure 8 Wavelet Denoising Results 33 Signal Ar Spectrum Ana...mentioning

confidence: 99%

“…And the structural risk minimization, there is no over-learning problem of the neural network; the algorithm finally transforms into a convex optimization problem, which guarantees the global optimality of the algorithm and avoids the local minimum. Using the nuclear technology, the nonlinear problem in the input space, dimensional function space to construct a linear discriminant function to overcome the dimensionality disaster and other advantages [14] . The support vector machine is integrated into the expert system as shown in figure 11.…”

Section: Support Vector Machine and Expert Systemmentioning

confidence: 99%

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Research on Ship Engine Room Monitoring and Fault Diagnosis System Based on Labview

Wang

2021

EPHIJSE

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The structure of marine engine room system is complex, with many fault sources and abundant symptom parameters. There is no simple correspondence between faults and symptoms, but they are interrelated and intricate. The existing fault diagnosis of ship engine room is mostly based on expert system, but the bottleneck of knowledge acquisition, lack of learning ability and the complexity and efficiency of the expert system are restricting its further development. In order to overcome the above shortcomings of expert system, the support vector machine (SVM) is introduced into the expert system, and the support vector machine (SVM) is used to solve the problem of small sample self-learning ability and high-dimensional space self-adaptation ability. The expert system is used to achieve the automatic knowledge acquisition and rapid logical reasoning. Knowledge base management and maintenance, symbolic reasoning and related explanations, and give full play to the advantages of both SVM and expert system. Finally, the fault diagnosis of marine diesel engine booster system is introduced as an example. The MATLAB Script is used to call the MATLAB SVM analysis toolkit, and the combination of SVM and expert system is used to diagnose the fault.

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Section: Figure 8 Wavelet Denoising Results 33 Signal Ar Spectrum Ana...mentioning

confidence: 99%

Section: Support Vector Machine and Expert Systemmentioning

confidence: 99%