Novel detection method for DC series arc faults by using morphological filtering

doi:10.1016/S1005-8885(15)60685-9

中国邮电高校学报(英文) ›› 2015, Vol. 22 ›› Issue (5): 84-91.doi: 10.1016/S1005-8885(15)60685-9

Novel detection method for DC series arc faults by using morphological filtering

陈陆平¹,王鹏,许良军¹

School of Automation, Beijing University of Posts and Telecommunications, Beijing 100876, China

收稿日期:2015-04-17 修回日期:2015-09-18 出版日期:2015-10-30 发布日期:2015-10-30
通讯作者: 陈陆平 E-mail:luping_chen@bupt.edu.cn

Novel detection method for DC series arc faults by using morphological filtering

School of Automation, Beijing University of Posts and Telecommunications, Beijing 100876, China

Received:2015-04-17 Revised:2015-09-18 Online:2015-10-30 Published:2015-10-30

摘要/Abstract

摘要： It has been known that DC arc faults pose a hazard in power electronics systems. Due to the fault current is lower than normal current load, series arc is more difficult to be discovered than parallel arc. The traditional methods of DC series arc faults detection have some disadvantages, such as large computation, long delay and easier influence by interferences. In this paper, a novel method with multi-scale morphological filtering was utilized for the fault detection of DC series arc. Compared to the tradition method, the proposed method is more simple and efficient. It was verified that it was convenient for field application of on-line monitoring and diagnosis with a good ability to prevent misjudgments from the environment interference.

关键词: arc fault, DC series arc, mathematical morphology, structural elements, fault detection

Abstract: It has been known that DC arc faults pose a hazard in power electronics systems. Due to the fault current is lower than normal current load, series arc is more difficult to be discovered than parallel arc. The traditional methods of DC series arc faults detection have some disadvantages, such as large computation, long delay and easier influence by interferences. In this paper, a novel method with multi-scale morphological filtering was utilized for the fault detection of DC series arc. Compared to the tradition method, the proposed method is more simple and efficient. It was verified that it was convenient for field application of on-line monitoring and diagnosis with a good ability to prevent misjudgments from the environment interference.

Key words: arc fault, DC series arc, mathematical morphology, structural elements, fault detection

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Novel detection method for DC series arc faults by using morphological filtering

Novel detection method for DC series arc faults by using morphological filtering

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