[PDF] Top 20 Machine learning based impedance estimation in power system
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Machine learning based impedance estimation in power system
... of power electronic converter interfaced distributed energy sources into the power grid, introduced new challenges to the monitoring, protection and control of the ...the system, especially in a weak ... See full document
6
Phonocardiogram-based diagnosis using machine learning : parametric estimation with multivariant classification
... cardiovascular system is modelled in a transfer function to provide PCG signal recording as it would be recorded at the ...processing power (the use of mobile ... See full document
7
Stability assessment of power converter based AC systems by LTP theory: eigenvalue analysis and Harmonic Impedance estimation
... of power-converter-based AC sys- tems poses serious challenges not only because of the non-linear nature of power converters, but also because linearisation is not generally applied around a ... See full document
13
Software Quality Estimation using Machine Learning: Case based Reasoning Technique
... quality estimation. Zhong et. al in[22]have used unsupervised Learning techniques to build a software quality estimation ...logic based analogy estimation approach in ...quality ... See full document
6
Estimation of the applicability domain of kernel-based machine learning models for virtual screening
... descriptive power of the model for the training set, and the main results of this work on the screening data sets are obtained independently of this training set performance ... See full document
20
Voltage sag estimation in sparsely monitored power systems based on deep learning and system area mapping
... CNN based VSE approach to estimate voltage sag magnitudes with a high accuracy regardless of the uncertainties associated with load demand, DG outputs, fault types, fault area and fault ...VSE estimation ... See full document
11
Estimation of the variations in mechanical impedance between the actuator and the chest, and the power delivered to the chest during cardiopulmonary resuscitation using machine-embedded sensors
... and power estimation algorithm is applied to the control of the CPR machine and more dedicated safety func- tions, as described above, are realized later, complications related to the CPR ... See full document
14
Estimation of Road Accident Risk with Machine Learning
... The performance of different methods highly depends on the type of time series and problems. The distance-based approach and the use of elastic distance measures were his- torically the most popular approach [4]. ... See full document
77
WML: Wireless Sensor Network based Machine Learning for Leakage Detection and Size Estimation
... Wireless Sensor Network (WSN) refers to a network of small, low-power devices that can sense and communicate information about their environment. WSNs are conceivable for various applications with different ... See full document
6
Studies with a Generalized Neuron Based PSS on a Multi-Machine Power System
... A generalized neuron, that can incorporate the non- linearities involved in the system, is described in this paper. It uses only one neuron and is trained using back-propagation learning algorithm. Because ... See full document
10
NETWORK INTRUSION DETECTION SYSTEM BASED ON MACHINE LEARNING ALGORITHMS
... information system may be redundant and can be eliminated without losing essential classificatory ...classificatory power as the original ...information system the most important attributes from a ... See full document
14
Power system stability scanning and security assessment using machine learning
... online power system security analysis, with the intent of identifying areas needing additional re- search and ...state estimation), online load flow study, contingency selection and secu- rity ... See full document
146
Intelligent Traffic Control& Surveillance System Based on Machine Learning
... Peripheral Interface Control (PIC) 16F series has a lot of advantages when compared with the other series. It makes execution each instruction in time which is less than 200 nanoseconds. It has 40 pins and 8K program ... See full document
7
Power system parameters forecasting using Hilbert-Huang transform and machine learning
... forecasting power system para- meters with the goal of increasing the efficiency of short-term forecasting studies for non-stationary ...is based on mode decomposition and a feature analysis of initial ... See full document
16
Machine Learning Framework For Power System Fault Detection And Classification
... rules based on certain thresholds to artificial intelligence-based techniques such as ANNs, vector supporting machines, and blurred decision ...rules based on certain thresholds to artificial ... See full document
7
Research Review and Prospect of Fault Diagnosis Method of Satellite Power System Based on Machine Learning
... of system structure and ...circumstances, system faults will be ...satellite power system and each component, established the Bayesian network satellite power model, which realized the ... See full document
7
APRIORI BASED MACHINE LEARNING IN POWER DISTRIBUTION NETWORK
... In the proposed algorithm we start with first initializing the data center requirement. In this stage the servers are assigned the requirements using normal distribution. Apriori algorithm is then applied to the given ... See full document
6
Intelligent System for Analysis and Monitoring of Flood Embankments Based on Electrical Impedance Tomography, Machine Learning and Internet of Things
... Real reconstruction based on measurement data - model II flood embankment with 32 electrodes. 728[r] ... See full document
33
Feature selection for machine learning based step length estimation algorithms
... length estimation can provide valuable information to different applications such as indoor positioning systems or it can be helpful when analyzing the gait of a user, which can then be used to detect various gait ... See full document
17
Application of Machine Learning with Impedance Based Techniques for Structural Health Monitoring of Civil Infrastructure
... known impedance based health monitoring EMI ...visual based, embedded IOT) are employed as a global method in prediction, to identify, locate, optimize, the damage area and ... See full document
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