Application of neural network observer for on-line estimation of salient-pole synchronous generators' dynamic parameters using the operating data

Shariati, Omid; Zin, Abdullah Asuhaimi Mohd; Aghamohammadi, Mohammad Reza

doi:10.1109/icmsao.2011.5775505

Cited by 8 publications

(6 citation statements)

References 23 publications

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“…connection weights) are provided (e.g. [14]. The number of model inputs equals the number of nodes in the input layer, whereas the number of nodes in the output layer is fixed by the number of model outputs.…”

Section: Modelling Neural Networkmentioning

confidence: 99%

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Management Information Systems, Conceptual Dimensions of Information Quality and Quality of Managerial Decisions: Modelling Artificial Neural Networks

Hakimpoor¹,

Khairabadi²

2018

ujm

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The effect of information system on decision making is a central concern in the field of information system (IS). Information systems form the backbone of any business process integration and the main objective of information systems is helping decision makers by providing accurate and time based information helping them in making the right decisions in turbulent environment. The present study has been performed to examine the impact of using management information systems (MIS) and conceptual dimensions of information quality on the quality of managerial decisions in public organizations in Iran. Sample of the study was 250 of the managers from 17 public organizations that were chosen randomly and data was collected on 2015. Using artificial neural networks (ANN) analysis results show that MIS and conceptual dimensions of information quality have a positive effect on quality of managerial decisions and this effect is stronger when MIS and conceptual dimensions of information quality are merged.

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Section: Modelling Neural Networkmentioning

confidence: 99%

“…Three heuristic rules that are mentioned in recent references e.g. [14] were tried by this research and it was found that the optimal fit between inputs and outputs was achieved with a network with a single hidden layer of 4 nodes. The structure of ANN model that has been used in this research is visualized in Figure 2.…”

Section: Modelling Neural Networkmentioning

confidence: 99%

Management Information Systems, Conceptual Dimensions of Information Quality and Quality of Managerial Decisions: Modelling Artificial Neural Networks

Hakimpoor¹,

Khairabadi²

2018

ujm

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“…Although the selection of architecture for a neural network comes down to trial and error (Kim and Kim, 2002),but the best number of neurons for the hidden layers depends on the number of input and output neurons, number of training cases, the complexity of learning function and training algorithm (Panchal et al, 2011;Shariati et al, 2011). As a rule of thumb, few heuristic rules are given as follow:…”

Section: Development Of Ann Modelmentioning

confidence: 99%

Automated tool for predicting duration of construction activities in tropical countries

et al. 2015

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Proper and accurate estimating of construction activities' duration is a key factor, as it can cause the success or failure of a project. The common methods of duration estimating have shown some inaccuracies according to previous studies. This study aims to develop a tool for estimating the duration of construction's major activities regarding to the structural elements of concrete frame buildings. This tool is appropriate for tropical regions. In order to reach this purpose, Artificial Neural Network (ANN) is employed as the core calculating engine of the tool. Through literature survey and experts interviewing, the factors which can critically influence the activity duration have been identified. By means of the collected data from actual cases, four ANN models have been trained and tested for estimating the duration of installing column reinforcements, installing beam reinforcements, column concreting and beam concreting activities. Finally, a web-based program was designed and tested as an automated tool for suiting engineers to estimate the duration of scoped activities based on ANN method. Engineers and decision makers in the tropical regions can utilize the developed tool in the planning phase of their projects to produce more accurate estimations of activity durations.

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“…The second uses a "black box" modeling in which no model structure is assumed to be known a priori. In this case, the only objective of the identification is to establish the correspondence of the inputs to the outputs of the system using the method of neural networks [14,15] or Volterra series [16].…”

Section: Introductionmentioning

confidence: 99%

An Optimization Analytical Method for Synchronous Machine Model Design From Operational Inductance Ld(s)

Leguebedj¹,

Boukhetala²,

Tadjine³

2022

PIER B

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This paper presents an analytical method for the optimal estimation of time constants of synchronous machine from Stand Still Frequency Response Testing (SSFR). We show that the analytical method is advantageous over the conventional one since the latter is based on curve fitting representing the variation of the operational inductance as a function of the frequency and provides inaccurate and non-unique solutions. In fact, the analytical method applies the standard theory of linear systems to locate the values of poles and zeros in the frequency response and determines the optimal order of the equivalent circuit that can model the machine accurately. The proposed method is simple, practicable, and effective. However, it needs an optimisation process based on parameter differentiation to improve the values of time constants. Based on the measured data, realistic tests are given to show the advantages of the method.

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Application of neural network observer for on-line estimation of salient-pole synchronous generators' dynamic parameters using the operating data

Cited by 8 publications

References 23 publications

Management Information Systems, Conceptual Dimensions of Information Quality and Quality of Managerial Decisions: Modelling Artificial Neural Networks

Management Information Systems, Conceptual Dimensions of Information Quality and Quality of Managerial Decisions: Modelling Artificial Neural Networks

Automated tool for predicting duration of construction activities in tropical countries

An Optimization Analytical Method for Synchronous Machine Model Design From Operational Inductance Ld(s)

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