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Book Chapter
Centrifugal Pump Fault Diagnosis Using MLP and GA
Available to PurchaseSeries: AIPP Books, Methods
Published: July 2022
10.1063/9780735423596_007
EISBN: 978-0-7354-2359-6
ISBN: 978-0-7354-2356-5
...Introduction In this chapter, the classification performance of Multilayer Perceptron Neural Network (MLP) using two training methods is presented: MLP with its traditional training algorithm “Back-Propagation” (BP) based on the Levenberg–Marquardt function, and denoted MLP-BP, and then combining...
Book Chapter
Fault Diagnosis Using MLP and SVM with DWT Based Feature Extraction
Available to PurchaseSeries: AIPP Books, Methods
Published: July 2022
10.1063/9780735423596_009
EISBN: 978-0-7354-2359-6
ISBN: 978-0-7354-2356-5
... ; and Mahmoudabadi et al. 2009 ). MLP has three layers; input layer, hidden layer, and output layer ( Akilandeswari and Nasira, 2015 ). There are 6 neurons in the input layer representing the features that were extracted and normalized for each parameter that are pre-processed with DWT. GA was used...
Book Chapter
MLP-GABP and SVM with WPT Based Feature Extraction
Available to PurchaseSeries: AIPP Books, Methods
Published: July 2022
10.1063/9780735423596_010
EISBN: 978-0-7354-2359-6
ISBN: 978-0-7354-2356-5
... of the experimental setup are already given in Sec. 5.3 and Fig. 5.1 of Chap. 5; however, in Fig. 10.1 , additional features of the experimental model system are shown. FIG. 10.1 Experimental model of the study. FIG. 10.2 Validation of the MLP-BP scheme. (a) The overall confusion matrices for classification...
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Classification performance of MLP-BP, MLP-GABP, and SVM based on the three ...
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in Comparative Analysis of the Artificial Intelligence Schemes
> Artificial Intelligence Methods for Fault Diagnosis in Centrifugal Pumps
Published: July 2022
FIG. 11.1 Classification performance of MLP-BP, MLP-GABP, and SVM based on the three WT methods. More about this image found in Classification performance of MLP-BP, MLP-GABP, and SVM based on the three ...
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in Technical Background on Centrifugal Pumps
> Artificial Intelligence Methods for Fault Diagnosis in Centrifugal Pumps
Published: July 2022
FIG. 1.2 The proposed methodology of MLP-ANN with learning algorithms of GA and BP using three layers, viz., input layer, which represents the six different parameters contain the extracted features, hidden layer, which contains the activation function with weights, and output layer, which More about this image found in The proposed methodology of MLP-ANN with learning algorithms of GA and BP u...
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The basic structure of the MLP network with three main layers (input, hidde...
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in Artificial Intelligence Systems
> Artificial Intelligence Methods for Fault Diagnosis in Centrifugal Pumps
Published: July 2022
FIG. 3.8 The basic structure of the MLP network with three main layers (input, hidden, and output). More about this image found in The basic structure of the MLP network with three main layers (input, hidde...
Images
Overall classification accuracy rate using 10 hidden neurons with MLP-BP (C...
Available to Purchase
in Centrifugal Pump Fault Diagnosis Using MLP and GA
> Artificial Intelligence Methods for Fault Diagnosis in Centrifugal Pumps
Published: July 2022
FIG. 7.2 Overall classification accuracy rate using 10 hidden neurons with MLP-BP (CWT). More about this image found in Overall classification accuracy rate using 10 hidden neurons with MLP-BP (C...
Images
The mean square error chart for MLP-BP (CWT) using 60 non-normalized featur...
Available to Purchase
in Centrifugal Pump Fault Diagnosis Using MLP and GA
> Artificial Intelligence Methods for Fault Diagnosis in Centrifugal Pumps
Published: July 2022
FIG. 7.7 The mean square error chart for MLP-BP (CWT) using 60 non-normalized features. More about this image found in The mean square error chart for MLP-BP (CWT) using 60 non-normalized featur...
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The mean square error chart for MLP-BP (CWT) of 30 non-normalized features....
Available to Purchase
in Centrifugal Pump Fault Diagnosis Using MLP and GA
> Artificial Intelligence Methods for Fault Diagnosis in Centrifugal Pumps
Published: July 2022
FIG. 7.9 The mean square error chart for MLP-BP (CWT) of 30 non-normalized features. More about this image found in The mean square error chart for MLP-BP (CWT) of 30 non-normalized features....
Images
Overall confusion matrix with classification accuracy rate using MLP-GABP (...
Available to Purchase
in Centrifugal Pump Fault Diagnosis Using MLP and GA
> Artificial Intelligence Methods for Fault Diagnosis in Centrifugal Pumps
Published: July 2022
FIG. 7.10 Overall confusion matrix with classification accuracy rate using MLP-GABP (CWT) with 240 non-normalized features. More about this image found in Overall confusion matrix with classification accuracy rate using MLP-GABP (...
Images
The mean square error chart for MLP-GABP (CWT) of 240 non-normalized featur...
Available to Purchase
in Centrifugal Pump Fault Diagnosis Using MLP and GA
> Artificial Intelligence Methods for Fault Diagnosis in Centrifugal Pumps
Published: July 2022
FIG. 7.11 The mean square error chart for MLP-GABP (CWT) of 240 non-normalized features. More about this image found in The mean square error chart for MLP-GABP (CWT) of 240 non-normalized featur...
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Best score value and mean score vs generation based MLP-GABP with CWT.
Available to Purchase
in Centrifugal Pump Fault Diagnosis Using MLP and GA
> Artificial Intelligence Methods for Fault Diagnosis in Centrifugal Pumps
Published: July 2022
FIG. 7.12 Best score value and mean score vs generation based MLP-GABP with CWT. More about this image found in Best score value and mean score vs generation based MLP-GABP with CWT.
Images
The mean square error chart for MLP-BP of 60 normalized approximation featu...
Available to Purchase
in Centrifugal Pump Fault Diagnosis Using MLP and GA
> Artificial Intelligence Methods for Fault Diagnosis in Centrifugal Pumps
Published: July 2022
FIG. 7.16 The mean square error chart for MLP-BP of 60 normalized approximation features using DWT (db4). More about this image found in The mean square error chart for MLP-BP of 60 normalized approximation featu...
Images
The mean square error chart for MLP-BP of 60 non-normalized approximation f...
Available to Purchase
in Centrifugal Pump Fault Diagnosis Using MLP and GA
> Artificial Intelligence Methods for Fault Diagnosis in Centrifugal Pumps
Published: July 2022
FIG. 7.17 The mean square error chart for MLP-BP of 60 non-normalized approximation features using DWT (db4). More about this image found in The mean square error chart for MLP-BP of 60 non-normalized approximation f...
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The mean square error chart for MLP-BP of 60 normalized detail features usi...
Available to Purchase
in Centrifugal Pump Fault Diagnosis Using MLP and GA
> Artificial Intelligence Methods for Fault Diagnosis in Centrifugal Pumps
Published: July 2022
FIG. 7.18 The mean square error chart for MLP-BP of 60 normalized detail features using DWT (db4). More about this image found in The mean square error chart for MLP-BP of 60 normalized detail features usi...
Images
The mean square error chart for MLP-BP of 60 non-normalized detail features...
Available to Purchase
in Centrifugal Pump Fault Diagnosis Using MLP and GA
> Artificial Intelligence Methods for Fault Diagnosis in Centrifugal Pumps
Published: July 2022
FIG. 7.19 The mean square error chart for MLP-BP of 60 non-normalized detail features using DWT (db4). More about this image found in The mean square error chart for MLP-BP of 60 non-normalized detail features...
Images
The mean square error chart for MLP-BP of 60 normalized approximate feature...
Available to Purchase
in Centrifugal Pump Fault Diagnosis Using MLP and GA
> Artificial Intelligence Methods for Fault Diagnosis in Centrifugal Pumps
Published: July 2022
FIG. 7.20 The mean square error chart for MLP-BP of 60 normalized approximate features using DWT (rbio1.5). More about this image found in The mean square error chart for MLP-BP of 60 normalized approximate feature...
Images
The mean square error chart for MLP-BP of 60 non-normalized approximate fea...
Available to Purchase
in Centrifugal Pump Fault Diagnosis Using MLP and GA
> Artificial Intelligence Methods for Fault Diagnosis in Centrifugal Pumps
Published: July 2022
FIG. 7.21 The mean square error chart for MLP-BP of 60 non-normalized approximate features using DWT (rbio1.5). More about this image found in The mean square error chart for MLP-BP of 60 non-normalized approximate fea...
Images
The mean square error chart for MLP-BP of 30 normalized approximate feature...
Available to Purchase
in Centrifugal Pump Fault Diagnosis Using MLP and GA
> Artificial Intelligence Methods for Fault Diagnosis in Centrifugal Pumps
Published: July 2022
FIG. 7.22 The mean square error chart for MLP-BP of 30 normalized approximate features using DWT (db4). More about this image found in The mean square error chart for MLP-BP of 30 normalized approximate feature...
Images
The mean square error chart for MLP-BP of 30 normalized approximate feature...
Available to Purchase
in Centrifugal Pump Fault Diagnosis Using MLP and GA
> Artificial Intelligence Methods for Fault Diagnosis in Centrifugal Pumps
Published: July 2022
FIG. 7.23 The mean square error chart for MLP-BP of 30 normalized approximate features using DWT (rbio1.5). More about this image found in The mean square error chart for MLP-BP of 30 normalized approximate feature...
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