پديد آورنده :
اسماعيلي راد، احسان
عنوان :
الگوشناسي داده هاي نگهداري وتعميرات با استفاده از روش هاي داده كاوي مطالعه موردي: نيروگاه اسلام آباد اصفهان
مقطع تحصيلي :
كارشناسي ارشد
گرايش تحصيلي :
سيستم هاي اقتصادي - اجتماعي
محل تحصيل :
اصفهان: دانشگاه صنعتي اصفهان، دانشكده صنايع وسيستم ها
صفحه شمار :
يازده، 135 ، [II] ، ص: نمودار ، جدول
يادداشت :
ص.ع. به: فارسي وانگليسي
استاد راهنما :
علي زينل همداني
استاد مشاور :
محمد حسين سرايي
توصيفگر ها :
نت , داده كاوي , درخت تعميم , الگوريتم ژنتيك
تاريخ نمايه سازي :
88/4/23
استاد داور :
ناصر ملا وردي
دانشكده :
مهندسي صنايع و سيستم ها
چكيده فارسي :
به فارسي و انگليسي: قابل رويت در نسخه ديجيتال
چكيده انگليسي :
Abstract Preventive maintenance activities generate information that can help determine the causesof downtime and assist in setting maintenance schedules or alarm limits When the amount ofgenerated data becomes large humans have difficulty understanding relationships betweenvariables In this thesis we explore the applicability of data mining a methodology foranalyzing multi dimensional datasets to the maintenance domain for find failures that causeevent Trough industrial partnerships this project will demonstrate effectiveness of theproposed approach with actual Isfahan Regional Power Electric Company data The objectiveis to extract and categorize machine components and subsystems and their associated failuresusing a novel approach that combines C Fuzzy and genetic algorithm With using this datamining method we identify subsystems responsible for low overall equipment efficiency recommend a preventive maintenance schedule and responses giving the most informationabout fault types The data mining approach achieves good easily understandable resultswithin a short training time The belief is that this will give the maintenance personnel abetter understanding of when parts fail allowing for s more accurate replacement schedulethat could save money and improve safety
استاد راهنما :
علي زينل همداني
استاد مشاور :
محمد حسين سرايي
استاد داور :
ناصر ملا وردي
