Evaluation of Real Time Fault Detection Mechanism in Medium Voltage Distribution Substation Equipments Using of Image Processing Techniques
Publish Year: 1394
نوع سند: مقاله کنفرانسی
زبان: English
View: 916
This Paper With 8 Page And PDF Format Ready To Download
- Certificate
- من نویسنده این مقاله هستم
این Paper در بخشهای موضوعی زیر دسته بندی شده است:
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
RSTCONF01_632
تاریخ نمایه سازی: 30 آبان 1394
Abstract:
Since a significant portion of outages caused by the defects in medium voltage equipments of distribution substations. Fast detection of such defects is very important for timely maintenance. Therefore Image processing techniques can be used to pay for fast detection of defects. image segmentation is the process of partitioning a digital image into multiple segments. The goal of segmentation is to simplify and/or change the representation of an image into something that is more meaningful and easier to analyze. In this paper we have been discussed three segmentation algorithm namely: watershed, Dual-Tree Complex Wavelet Transform, clustering, with indoor medium voltage cable termination Image. The experimental results are obtained using metrics such as PSNR and MSE, that watershed algorithm with values respectively 58.6 and 18366 are better results as compared to other algorithms
Keywords:
Authors
Tahereh Moharrami kalfati
Master Degree Department of Mechatronic Engineering Islamic azad university, science and research branch kerman, Expert of Management of Generation , Transmission and Distribution of Electric Power company(tavanir)Tehran, Iran,
Mohammad Dehghan
Master Degree Department of Electrical and Computer Engineering Islamic azad university, science and research branch kerman, Expert of Electricity Distribution Companies at Tehran, Tehran, Iran,
Arash Tarkhan
Graduate (PhD) student at University of Washington
مراجع و منابع این Paper:
لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :