Multiple parametric fault diagnosis using computational intelligence techniques in linear filter circuit

2020 ◽  
Vol 11 (11) ◽  
pp. 5533-5545 ◽  
Author(s):  
Varatharaj Kalpana ◽  
R. Maheswar ◽  
E. Nandakumar
Author(s):  
Zhisong Wan ◽  
Qiongbin Lin ◽  
Feng Qiao ◽  
Zhe Zhang ◽  
Yi Zong ◽  
...  

2019 ◽  
Vol 17 (1) ◽  
pp. 69-84
Author(s):  
André Sekunda ◽  
Henrik Niemann ◽  
Niels Kjølstad Poulsen ◽  
Ilmar Santos

Electronics ◽  
2021 ◽  
Vol 10 (5) ◽  
pp. 550
Author(s):  
Michał Tadeusiewicz ◽  
Stanisław Hałgas

Parametric fault diagnosis of analog very high-frequency circuits consisting of a distributed parameter transmission line (DPTL) terminated at both ends by lumped one-ports is considered in this paper. The one-ports may include linear passive and active components. The DPTL is a uniform two-conductor line immersed in a homogenous medium, specified by the per-unit-length (p-u-l) parameters. The proposed method encompasses all aspects of parametric fault diagnosis: detection of the faulty area, location of the fault inside this area, and estimation of its value. It is assumed that only one fault can occur in the circuit. The diagnostic method is based on a measurement test arranged in the AC state. Different approaches are proposed depending on whether the faulty is DPTL or one of the one-ports. An iterative method is modified to solve various systems of nonlinear equations that arise in the course of the diagnostic process. The diagnostic method can be extended to a broader class of circuits containing several transmission lines. Three numerical examples reveal that the proposed diagnostic method is fast and gives quite accurate findings.


Sensors ◽  
2022 ◽  
Vol 22 (1) ◽  
pp. 332
Author(s):  
Emilio García ◽  
Neisser Ponluisa ◽  
Eduardo Quiles ◽  
Ranko Zotovic-Stanisic ◽  
Santiago C. Gutiérrez

This work proposes a method for real-time supervision and predictive fault diagnosis applicable to solar panel strings in real-world installations. It is focused on the detection and parametric isolation of fault symptoms through the analysis of the Voc-Isc curves. The method performs early, systematic, online, automatic, permanent predictive supervision, and diagnosis of a high sampling frequency. It is based on the supervision of predictive electrical parameters easily accessible by the design of its architecture, whose detection and isolation precedes with an adequate margin of maneuver, to be able to alert and stop by means of automatic disconnection the degradation phenomenon and its cumulative effect causing the development of a future irrecoverable failure. Its architecture design is scalable and integrable in conventional photovoltaic installations. It emphasizes the use of low-cost technology such as the ESP8266 module, ASC712-5A, and FZ0430 sensors and relay modules. The method is based on data acquisition with the ESP8266 module, which is sent over the internet to the computer where a SCADA system (iFIX V6.5) is installed, using the Modbus TCP/IP and OPC communication protocols. Detection thresholds are initially obtained experimentally by applying inductive shading methods on specific solar panels.


2013 ◽  
Vol 26 (5) ◽  
pp. 458-462 ◽  
Author(s):  
Yi Wu ◽  
Youren Wang ◽  
Yu Chen ◽  
Yuanyuan Jiang

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