دسته‌بندی شدت عیب اتصال کوتاه بین دور موتورهای سنکرون مغناطیس دائم با استفاده از درخت تصمیم‌گیری و شبکه عصبی بیزین
الموضوعات :عباس درویشی 1 , سید محسن سید موسوی 2 , بهزاد مشیری 3
1 - دانشکده مهندسی برق دانشگاه آزاد اسلامی واحد اهواز
2 - دانشکده مهندسی برق، واحد اهواز، دانشگاه آزاد اسلامی، اهواز، ایران،
3 - دانشکده مهندسی برق و کامپیوتر، دانشگاه تهران، تهران، ایران
الکلمات المفتاحية: اتصال کوتاه بین دور, موتور سنکرون مغناطیس دائم, استخراج ویژگی, انتخاب ویژگی, درخت تصمیم¬گیری, شبکه عصبی بیزین.,
ملخص المقالة :
این مقاله به بررسی شناسایی شدت عیب اتصال کوتاه بین دور در یک موتور سنکرون مغناطیس دائم با توان ۳ کیلووات با استفاده از درخت تصمیم‌گیری و شبکه عصبی عمیق بیزین می‌پردازد. مجموعه داده اصلی شامل سیگنال‌های جریان سه‌فاز در شرایط سالم و دارای عیب بوده که شش سطح از شدت عیب را شامل می‌شود. یک مرحله پیش‌پردازش برای تحلیل داده‌ها در حوزه‌های زمان و فرکانس انجام می‌شود. در این فرآیند از تبدیل موجک گسسته و تحلیل چگالی طیفی توان استفاده شده است. برای کاهش ابعاد فضای آموزشی، ابتدا معیارهای آماری مانند میانگین، انحراف معیار، کشیدگی و چولگی به دست می‌آیند. سپس از تحلیل مولفه‌های اصلی کرنل برای تعیین برجسته‌ترین ویژگی‌ها استفاده می‌شود. الگوریتم درخت تصمیم‌گیری برای شناسایی وضعیت عیب موتور آموزش داده می‌شود. در نهایت،یک شبکه عصبی عمیق مبتنی بر تئوری بیزین برای تشخیص شدت عیب اتصال کوتاه بین دور به کار گرفته می‌شود. عملکرد الگوریتم پیشنهادی از نظر دقت، صحت، بازخوانی و امتیاز 1F با در نظر گرفتن تعداد متفاوتی از ویژگی‌های غالب منتخب ارزیابی می‌شود.
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