Detection of Insulator Faults in Catenary Systems with Deep Learning
نویسندگان
چکیده
?zolatörler elektrikli demiryolu hatlar?nda katener sistemlerin en önemli bile?enleridir. ?zolatörlerde meydana gelen k?r?klar veya yanmalar ula??mda kesintilere neden olmaktad?r. Bu kesintiler de özellikle yüksek h?zl? ray güvenli çal??may? engeller. ?zolatörlerdeki ar?zalar?n erken bir a?amada tespit edilmesi sistemlerine uygun zamanda müdahale etmeyi ve izolatör kaynakl? kazalar? engellemeyi sa?layacakt?r. makalede sistemlerindeki izolatörleri ar?zal? ya da sa?lam olarak s?n?fland?rmak için derin ö?renme tabanl? yöntem önerilmektedir. Çal??mada 1100 adet görüntüsü içeren veri seti kullan?lm??t?r. setindeki görüntüler ResNet34 mimarisi ile e?itilmi? test edilmi?tir. Önerilen mimari izolatörlerdeki ar?zalar %95,7 do?ruluk, %99 kesinlik %96,6 duyarl?l?k de?erleriyle s?n?fland?r?lm??t?r. de?erler gerçekle?tirilen çal??man?n ar?za tespiti güvenilir oldu?unu göstermektedir.
منابع مشابه
Melanoma detection with a deep learning model
Background: Skin cancer is one of the most common forms of cancer in the world and melanoma is the deadliest type of skin cancer. Both melanoma and melanocytic nevi begin in melanocytes (cells that produce melanin). However, melanocytic nevi are benign whereas melanoma is malignant. This work proposes a deep learning model for classification of these two lesions. Methods: In this analytic s...
متن کاملinvestigation of single-user and multi-user detection methods in mc-cdma systems and comparison of their performances
در این پایان نامه به بررسی روش های آشکارسازی در سیستم های mc-cdma می پردازیم. با توجه به ماهیت آشکارسازی در این سیستم ها، تکنیک های آشکارسازی را می توان به دو دسته ی اصلی تقسیم نمود: آشکارسازی سیگنال ارسالی یک کاربر مطلوب بدون در نظر گرفتن اطلاعاتی در مورد سایر کاربران تداخل کننده که از آن ها به عنوان آشکارساز های تک کاربره یاد می شود و همچنین آشکارسازی سیگنال ارسالی همه ی کاربران فعال موجود در...
Concept drift detection in business process logs using deep learning
Process mining provides a bridge between process modeling and analysis on the one hand and data mining on the other hand. Process mining aims at discovering, monitoring, and improving real processes by extracting knowledge from event logs. However, as most business processes change over time (e.g. the effects of new legislation, seasonal effects and etc.), traditional process mining techniques ...
متن کاملDeep learning-based CAD systems for mammography: A review article
Breast cancer is one of the most common types of cancer in women. Screening mammography is a low‑dose X‑ray examination of breasts, which is conducted to detect breast cancer at early stages when the cancerous tumor is too small to be felt as a lump. Screening mammography is conducted for women with no symptoms of breast cancer, for early detection of cancer when the cancer is most treatable an...
متن کاملEarly detection of MS in fMRI images using deep learning techniques
Introduction & Objective:MS is a disease of the central nervous system in which the body makes a defensive attack on its tissues. The disease can affect the brain and spinal cord, causing a wide range of potential symptoms, including balance, movement and vision problems. MRI and fMRI images are a very important tool in the diagnosis and treatment of MS. The aim of this study was to provide...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Demiryolu mühendisli?i
سال: 2022
ISSN: ['2149-1607']
DOI: https://doi.org/10.47072/demiryolu.1114665