Distributed Validation of Option Price Forecasting Tools Using a Statistical Fault Diagnosis Approach

2017 ◽  
pp. 211-233
Author(s):  
Gerasimos G. Rigatos
Keyword(s):  
Fault Diagnosis ◽  
Option Price ◽  
Price Forecasting ◽  
Diagnosis Approach

An Analog Circuit Fault Diagnosis Approach Based on Wavelet-based fractal analysis and Multiple Kernel SVM

2020 ◽  
Vol 13 ◽  
Author(s):  
Jianfeng Jiang
Keyword(s):  
Fault Diagnosis ◽  
Fractal Analysis ◽  
Analog Circuit ◽  
Training Data ◽  
Support Vector ◽  
Pass Filter ◽  
Multiple Kernel ◽  
Testing Data ◽  
Circuit Fault Diagnosis ◽  
Diagnosis Approach

Objective: In order to diagnose the analog circuit fault correctly, an analog circuit fault diagnosis approach on basis of wavelet-based fractal analysis and multiple kernel support vector machine (MKSVM) is presented in the paper. Methods: Time responses of the circuit under different faults are measured, and then wavelet-based fractal analysis is used to process the collected time responses for the purpose of generating features for the signals. Kernel principal component analysis (KPCA) is applied to reduce the features’ dimensionality. Afterwards, features are divided into training data and testing data. MKSVM with its multiple parameters optimized by chaos particle swarm optimization (CPSO) algorithm is utilized to construct an analog circuit fault diagnosis model based on the testing data. Results: The proposed analog diagnosis approach is revealed by a four opamp biquad high-pass filter fault diagnosis simulation. Conclusion: The approach outperforms other commonly used methods in the comparisons.

Fault diagnosis approach for photovoltaic array based on the stacked auto-encoder and clustering with I-V curves

2021 ◽  
Vol 245 ◽  
pp. 114603
Author(s):  
Yongjie Liu ◽  
Kun Ding ◽  
Jingwei Zhang ◽  
Yuanliang Li ◽  
Zenan Yang ◽  
...  
Keyword(s):  
Fault Diagnosis ◽  
Photovoltaic Array ◽  
Diagnosis Approach
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