مروری برکاربرد الگوریتم‌های بهینه‌سازی در پایش وضعیت ماشین‌آلات دوار
الموضوعات : Journal of New Applied and Computational Findings in Mechanical Systems
مهدی شکارزاده
1
,
بهنام گازرزاده
2
1 - گروه مهندسی مکانیک، دانشگاه آزاد اسلامی، واحد اهواز، اهواز، ایران.
2 - گروه مهندسی مکانیک، واحد اهواز، دانشگاه آزاد اسلامی، اهواز، ایران
الکلمات المفتاحية: ماشین‌آلات دوار, پایش وضعیت, الگوریتم‌های بهینه‌سازی, تشخیص خرابی,
ملخص المقالة :
پایش وضعیت ماشین‌های دوار به دلیل نقش مهم آن در افزایش قابلیت اطمینان، کاهش خرابی‌های ناگهانی و صرفه‌جویی در هزینه‌های نگهداری، توجه بسیاری را به خود جلب کرده است. روش‌های سنتی پایش وضعیت با چالش‌هایی مانند حجم بالای داده‌ها، وجود نویز و پیچیدگی در تشخیص خرابی روبه‌رو هستند. در سال‌های اخیر، روش‌های بهینه‌سازی به عنوان ابزاری کارآمد برای غلبه بر این مشکلات معرفی شده‌اند و در زمینه‌هایی چون پیش‌پردازش داده‌ها، انتخاب ویژگی و دسته‌بندی خرابی‌ها به کار گرفته می‌شوند. در این مقاله، مروری جامع بر کاربرد الگوریتم‌های بهینه‌سازی در پایش وضعیت ماشین‌های دوار ارایه شده و نقش آن‌ها در بهبود تحلیل ارتعاشات، پایش حرارتی و نگهداری پیش‌بینانه بررسی گردیده است. همچنین ادغام این الگوریتم‌ها با هوش مصنوعی و یادگیری عمیق، چالش‌های محاسباتی و نیاز به تصمیم‌گیری در زمان واقعی پرداخته می‌شود. سپس توصیه‌هایی برای پژوهش‌های آینده با تاکید بر استفاده از روش‌های ترکیبی و پیشرفته ارایه می‌گردد.
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