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Failure identification and isolation of DC-DC boost converter using a sliding mode controller and adaptive threshold

Khater Fatma, Aibeche Abderrezak, Fellag Sid Ali, Doghmane Mohamed Zinelabidine, Akroum Hamza

Diagnostyka

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2024

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Vol. 25, No. 3

art. no. 2024303

EN

DC-DC converters have become essential components in various industrial applications, including aerospace, electric vehicles, and renewable energy systems. However, ensuring enhanced reliability remains a critical challenge for these converters. Fault diagnosis and reliability analysis are crucial for preventing damage and minimizing maintenance costs. This study focuses on investigating the operational behavior of DC-DC boost converters under normal and faulty conditions, precisely targeting open-circuit and short-circuit faults in converter switches. To achieve this, an adaptive threshold approach is introduced for effective fault detection. The adaptive threshold value is calculated based on measured voltage and current signals, along with their corresponding reference signals from the primary control system. The research is structured into two parts: the first part addresses sliding mode control aspects, ensuring regulated output voltages, output currents, and capacitor voltage for sustained converter operation. The second part investigates fault diagnosis, analyzing the impact of defective DC-DC converters on the overall electrical system functionality. The proposed algorithm's performance is evaluated and validated through simulations in MATLAB/Simulink environment. Furthermore, based on the results’ comparison, the proposed approach of the sliding mode controller and adaptive threshold contributes to enhancing the reliability of DC-DC converters and enables effective fault detection and isolation.

2

Stator current spectrum analysis applied on short-circuit fault diagnosis of SRM

Chehda Rabeh, Benouzza Noureddine, Kada-Belghitri Naouel

Przegląd Elektrotechniczny

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2019

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R. 95, nr 10

27--32

EN

Thanks to power electronics innovation, switched reluctance machine are taking place on industrial applications. In this paper we present the short-circuit fault diagnosis between stator turns of the switched reluctance machine by the use of stator current spectral analysis. To do this, we modeled our switched reluctance machine by permeance networks method to which we have associated the of the teeth contour permeance for the calculation of the airgap. The simulation results show the interest and efficiency of the proposed model as well as the stator current spectral analysis technique for the short circuit fault diagnosis of the switched reluctance machine.

PL

W artykule zaprezentowano metodę wykrywania zwarć w silniku reluktancyjnym. Metoda ta bazuje na analizie widmowej prądu stojana.

3

Overhead Line Fault Section Positioning System Based on Wireless Sensor Network

Dong A., Geng X., Yang Y., Su Y., Li M.

Przegląd Elektrotechniczny

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2013

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R. 89, nr 3b

60--61

EN

This paper introduces overhead line fault detection and location system as the core of industrial control computer. The combination of software and hardware, the methods of current rate of change and zero current detection are used, and so the accuracy of short circuit fault detection is improved. The features of ground phase voltage drop and the 5th harmonic current are integrated. Zigbee wireless chips are used to make into independent signal transmission system. The system has been put into operation, running in good condition.

PL

W artykule przedstawiono system detekcji i lokalizacji awarii w sieci napowietrznej do implementacji w komputerze przemysłowym. W metodzie brana jest pod uwagę m. in. wielkość zmian prądu oraz obecność prądu kolejności zerowej, co poprawiło dokładność wykrywania awarii. Zastosowano także bezprzewodowe łącze Zigbee w celu zwiększenia niezależności przesyłu sygnałów w systemie. Badania potwierdziły poprawność działania.