A fault identification device for the electronic board card based on binocular imaging

2021 ◽  
Author(s):  
Wenhui Lin ◽  
Shanxin Peng ◽  
Zhiwei You ◽  
Gangwen Wang ◽  
Mingxin Yang ◽  
...  
Keyword(s):  
Fault Identification ◽  
Electronic Board

Digital Electronic Board Using GSM Module and Database

2020 ◽  
Author(s):  
Sumit Kumar Upadhyay ◽  
Indu Bhardwaj
Keyword(s):  
Electronic Board

scholarly journals Fast fault identification in bipolar HVDC grids: a fault parameter estimation approach

2021 ◽  
pp. 1-1
Author(s):  
Paul Verrax ◽  
Alberto Bertinato ◽  
Michel Kieffer ◽  
Bertrand Raison
Keyword(s):  
Parameter Estimation ◽  
Fault Identification ◽  
Fault Parameter

scholarly journals An unknown fault identification method based on PSO-SVDD in the IoT environment

2021 ◽  
Vol 60 (4) ◽  
pp. 4047-4056
Author(s):  
Erbao Xu ◽  
Yan Li ◽  
Lining Peng ◽  
Mingshun Yang ◽  
Yong Liu
Keyword(s):  
Fault Identification ◽  
Identification Method

scholarly journals Wavelet Transform Based Fault Identification and Reconfiguration for a Reduced Switch Multilevel Inverter Fed Induction Motor Drive

Electronics ◽  
2021 ◽  
Vol 10 (9) ◽  
pp. 1023
Author(s):  
Arigela Satya Veerendra ◽  
Akeel A. Shah ◽  
Mohd Rusllim Mohamed ◽  
Chavali Punya Sekhar ◽  
Puiki Leung
Keyword(s):  
Wavelet Transform ◽  
Discrete Wavelet Transform ◽  
Multiresolution Analysis ◽  
Short Circuit ◽  
Open Circuit ◽  
Multilevel Inverter ◽  
Fault Identification ◽  
Discrete Wavelet ◽  
The Novel ◽  
Inverter Topology

The multilevel inverter-based drive system is greatly affected by several faults occurring on switching elements. A faulty switch in the inverter can potentially lead to more losses, extensive downtime and reduced reliability. In this paper, a novel fault identification and reconfiguration process is proposed by using discrete wavelet transform and auxiliary switching cells. Here, the discrete wavelet transform exploits a multiresolution analysis with a feature extraction methodology for fault identification and subsequently for reconfiguration. For increasing the reliability, auxiliary switching cells are integrated to replace faulty cells in a proposed reduced-switch 5-level multilevel inverter topology. The novel reconfiguration scheme compensates open circuit and short circuit faults. The complexity of the proposed system is lower relative to existing methods. This proposed technique effectively identifies and classifies faults using the multiresolution analysis. Furthermore, the measured current and voltage values during fault reconfiguration are close to those under healthy conditions. The performance is verified using the MATLAB/Simulink platform and a hardware model.

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