عنوان مقاله
کاربرد سیستم هوشمند مولتیBP در شناسایی عیوب سیستم قدرت
فهرست مطالب
مقدمه
سیستم هوشمند انتشار معکوس
سیستم خبره یا هوشمند مولتیBP (MBPES)
نتایج و بحث
نتیجه گیری
بخشی از مقاله
ساختار MBPES
درBPNN ، قاعده نظیر زیرساختار شبکه هایی با 3 لایه می باشد. از اینرو، 2 و 3 قاعده تودرتو نظیر زیرساختاری با به ترتیب 5 و 7 لایه می باشند. از آنجایی که آموزش شبکه هایBPNN با بیش از 5 لایه و حتی همگرایی آنها سخت و دشوار است، در نتیجه کل شبکه ها را به زیرشبکه هایی با 5 لایه یا کمتر تقسیم می کنیم. شکل 3 تقسیمBPNN در ساختار متوالی را نشان می دهد.
کلمات کلیدی:
Multi-BP expert system for fault diagnosis of power system Deyin Ma, Yanchun Liang, Xiaoshe Zhao, Renchu Guan, Xiaohu Shi n College of Computer Science and Technology, Key Laboratory of Symbol Computation and Knowledge Engineering of the Ministry of Education, Jilin University, Changchun, China article info Article history: Received 7 March 2012 Accepted 28 March 2012 Available online 18 April 2012 Keywords: Power system Expert system Multi-BP networks abstract Fault diagnosis and assessment is a crucial and difficult problem for power system. Back propagation neural network expert system (BPES) is an often used method in fault diagnosis. However, with the layer numbers increasing, BPES becomes time consuming and even hard to converge. To solve this problem, we divide the whole networks into many sub-BP groups within a short depth and then propose a novel Multi-BP expert system (MBPES) based method for power system fault diagnosis. We use two real power system data sets to test the effectiveness of MBPES. Experimental results show that MBPES obtains higher accuracy than two commonly used methods. & 2012 Elsevier Ltd. All rights reserved. 1. Introduction In modern times, power system becomes larger and more complex than before. With its fast development, higher demand for the sustainability and stability of power system is of great requirement. However, some common faults in power system have never been resolved very well and are still hindering the stability of power system, such as transmission fault, network distribution fault, power variable fault (Mizutani et al., 2007). Sometimes, even only one fault could destroy the equipments in power system, and might affect the whole power system. An even worse damage could cause conflagration and casualties, and leading to a huge pecuniary loss. Therefore, it is of great significance to do researches for preventing those faults from power system. And fault diagnosis is a powerful tool to guarantee the safety and reliability of power system.
