[PDF] Top 20 A Power Grid Fault Diagnosis Method based on Ensemble Decision Tree
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A Power Grid Fault Diagnosis Method based on Ensemble Decision Tree
... For Dataset, it needs to be divided into multiple sets of data subsets according to attributes, and each attribute subset has the greatest heterogeneity between them to ensure the integrity of the data subset ... See full document
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Power Transformer Fault Diagnosis based on Deep Learning
... new method in machine learning, deep learning has achieved brilliant results in every field with its powerful self-feature extraction capacity in the last few ...years. Power transformer is the core of ... See full document
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Power transformer fault diagnosis based on noise detection using clustering and classifier ensemble
... in power transformers will produce a lot of alarms, some of which are uncertain, incomplete and misinformed, thus, it is necessary to develop a good method to help dispatchers evaluate where the faults are ... See full document
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A Fault Diagnosis Method for Automaton Based on Morphological Component Analysis and Ensemble Empirical Mode Decomposition
... automaton fault diagnosis is to separate the impact component from original ...(ICA) method to remove the interference signal and noise from automaton signals, but statistically independent ... See full document
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A Fault Diagnosis Method for Automaton based on Morphological Component Analysis and Ensemble Empirical Mode Decomposition
... processing method based on sparse ...MCA method has been applied in the field of mechanical signal ...MCA method to realize the effective separation of the gearbox vibration signal and ... See full document
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“Interval Type-2 Fuzzy Logic Rule based Data mining for Steam Turbine Fault Analysis of a Power System Rotatory Machine Component”
... turbine) fault diagnostics was primarily to store the vibration spectra and to provide graphical tools so that the analyst could quickly access the data and determine what might be wrong with the ...analysis ... See full document
13
Fault Detection and Classification in Transmission Line by using Support Vector Machine Technique
... techniques. Fault on HVDC system by using Support Vector Machine (SVM) in [1], faults on double circuit transmission line by using decision tree based method as in [3], on medium ... See full document
9
Fault diagnosis of induction motor based on decision trees and adaptive neuro fuzzy inference
... study, decision tree is utilized as feature selection procedure to remove irrelevant features for the purpose of reducing the amount of data needed to achieve good learning, classification accuracy, compact ... See full document
21
An Ensemble Approach Based on Decision Tree and Bayesian Network for Intrusion Detection
... of ensemble methodology is to combine a set of models, each of which solves the same original task, in order to obtain a better composite global model, with more accurate and reliable estimates or decisions than ... See full document
10
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 ... See full document
8
Research Review and Prospect of Fault Diagnosis Method of Satellite Power System Based on Machine Learning
... system fault diagnosis method. This method makes use of the rich practical experience, analysis and thinking modes of experts to determine corresponding knowledge bases of fault ...out ... See full document
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A decision support system to follow up and diagnose primary headache patients using semantically enriched data
... The power of ensembles for headache classification has also been confirmed by Jackowski et ...corresponding diagnosis criteria from the ICHD docu- ...a decision tree induction algorithm, ... See full document
15
An application of decision trees method for fault diagnosis of induction motors
... Abstract. Decision tree is one of the most effective and widely used methods for building classification ...the decision tree method as an effective solution to their field ...of ... See full document
7
Fuzzy Fault Tree Analysis for Fault Diagnosis of Cannula Fault in Power Transformer
... another method to evaluate an importance measure called fuzzy impor- tance measure ...easier method to calculate fuzzy impor- tance index (FII), based Euclidean distance between two fuzzy ...Cannula ... See full document
10
Prediction of Heart Disease using RNN Algorithm
... network ensemble that can incorporate different base classifiers into classifier ensembles models for classification ...of decision tree algorithms for base ... See full document
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paraFaceTest: an ensemble of regression tree-based facial features extraction for efficient facial paralysis classification
... that ensemble of regres- sion trees (ERT) model does have an appealing quality that it performs shape invariant feature selection while minimizing the same loss function during training and test time, which ... See full document
14
A Novel Ensemble Based Decision Tree Model For High Dimensional Biomedicine Data
... relevant decision rules from the high dimensional ...traditional decision tree models on medical datasets. A novel decision trees allows estimating on topmost features to assess the class ... See full document
5
Performance Analysis on Uncertain Data using Decision Tree
... unpruned tree and a tree after pruning are shown in Figure 2 and Figure 5 ...to tree pruning: pre-pruning and ...a tree is “pruned” by stopping its construction ...Distribution Based ... See full document
5
Application of Modularization Idea of Fault Tree in Ship Pilotage Risk Decision Making
... the fault tree contain only simple typical logic gates for subsequent fault tree ...simplified fault tree can be seen from Appendix figure 8. The Fault tree of Ship ... See full document
6
Bagging Based Ensemble Classification Method on Imbalance Datasets
... classification tree and the aggregate process or the majority vote for the classification case and the average for regression ...an ensemble method commonly applied to classification cases, with the ... See full document
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