Transformer fault
Transformer Fault Diagnosis Based on Support Vector Machine and Cat Swarm Optimization
... a transformer using Dissolved Gas Analysis (DGA) method is very ...Power transformer fault diagnosis based on Dissolved Gas Analysis ...to transformer fault identification can give ...
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Power Transformer Fault Diagnosis Using Fuzzy Reasoning Spiking Neural P Systems
... with fault transformers based on (IEC 60599) DGA as ...fault transformer. Moreover, the practical test cases of transformer fault diagnosis are used to evaluate the proposed ...
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Modeling Analysis of Power Transformer Fault Diagnosis Based on Improved Relevance Vector Machine
... of transformer fault diagnosis based on relevance vector machine (RVM) is ...made fault diagnosis system work more ...of transformer fault diagnosis for four working statuses is given ...
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Power Transformer Fault Diagnosis based on Deep Learning
... l fault diagnosis in different layers of AE The average correct rate of power transformer fault diagnosis based on CDLNN l is tested when the number of AE layers is from 0 to 10, as shown in Figure ...
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A New Transformer Fault Diagnosis Method Based on Classified Deep Auto encoder Network
... the fault diagnosis results in Table 2 and Table 3, the fault diagnosis method based on CDAEN proposed in this paper is more precise than the fault diagnosis method based on BPNN and ...the ...
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Power transformer fault diagnosis based on noise detection using clustering and classifier ensemble
... in transformer oil and according to IEEE and IEC60599 standards, transformers defects can be ...each transformer fault can be predicted and diagnosed according to the proportion of each of these ...
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Artificial Intelligence Tools Aided decision for Power Transformer Fault Diagnosis
... intelligent fault classification approach for power transformer dissolved gas analysis ...(DGA). Fault diagnosis methods by the DGA and artificial intelligence (AI) techniques are implemented to ...
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Multi-agent and knowledge-based system for power transformer fault diagnosis
... imperfect procedures of manual data entry, which is common in data collections. Missing data may be reflected as a noise in classification stage [68]. This issue should be solved before any action is performed on ...
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Modification of Duval Triangle for Diagnostic Transformer Fault through a Procedure of Dissolved Gases Analysis
... III. CASE STUDY DISSOLVED GAS ANALYSIS The case study carried out from three different groups of transformers each group are identical in Abu-Sultan steam power plant. Fig. (2) Shows the schematic diagram configuration ...
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Transformer Fault Detection Using Frequency Response Analysis
... MVA transformer was developed to generate frequency response signature and then its sensitivity towards axial displacement, axial bending and forced buckling was analyzed ...in transformer windings were ...
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Electrical Power Robbery Detection and Transformer Fault Detection
... The System equipment consists of four equipment modules: Transducer box, GSM modem, GSM systems and PC-based server. The general structure of this System is delineated in Fig.2. The Transducer box is situated at the ...
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TRANSFORMER FAULT DETECTION USING DWT-DCT
... Inrush current in transformer is checked by Fourier Transform. The second order harmonics of the Fourier transform always represents Inrush current. The peak of second harmonics will be always highest in case of ...
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Application of Extreme Learning Machine in Fault Classification of Power Transformer
... Artificial neural network (ANN) can be trained to acquire knowledge. However, lots of training data are re- quired for proper training. ANN also has universal approximation property and it enables to approximate any ...
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Transformer incipient fault prediction using combined artificial neural network and various particle swarm optimisation techniques
... for transformer fault diagnosis from DGA analysis ...different fault diagnosis. The usage of fuzzy logic has shown that the fault type of transformer can be obtained efficiently ...and ...
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Transformer Characteristics of Linear Motor Transformer Apparatus
... linear transformer [2,3]. The transformer and linear motor mode respectively can be switched by only the signal of onboard converter, as shown in Figure ...The transformer mode without thrust is used ...
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Support Vector Machine Based Fault Diagnosis of Power Transformer Using k Nearest Neighbor Imputed DGA Dataset
... Figure 3 and 4 shows the comparative performances of SVM_RBF, SVM_POLY, and SVM_SIG that predict fault using imputed IEC10DB dataset that was imputed using different values of k for two distance metrics. Us- ing ...
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Star Transformer
... standard Transformer consistently and has less computation ...Star- Transformer preserve the ability to handle with long-range dependencies which is a crucial feature of the standard ...
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Fpga realization of rbf neural network based transformer impulse fault classification scheme
... currents thus computed are analyzed using db5 wavelet and the statistical features namely mean and Variance are extracted from the third level approximation. The RBF network has a number of advantages compared with other ...
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Analysis Of Line To Ground Fault In Transformer By Elman’S Network Using Gradient Descent Back Propagation Algorithm
... the transformer during part of the power cycle,therefore its waveform has distinct gap ...a transformer internal fault occurs, the fault current is closed to ...
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Automatic Fault Detection and Wireless Remote Monitoring for EB Transformer using Embedded System
... expensive transformer by identifying the fault and monitor the parameters of the transformer with the wireless ...a Transformer (Step-Down) for the end user ...the transformer routinely ...
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