Data mining for fault diagnostics: A case for plastic injection molding
نویسندگان
چکیده
منابع مشابه
Finding efficient frontier of process parameters for plastic injection molding
Product quality for plastic injection molding process is highly related with the settings for its process parameters. Additionally, the product quality is not simply based on a single quality index, but multiple interrelated quality indices. To find the settings for the process parameters such that the multiple quality indices can be simultaneously optimized is becoming a research issue and ...
متن کاملImproved Fault Detection Approach for Injection Molding
Statistical process control (SPC) for injection molding typically consists of setting alarm limits on a few important molding variables for real-time part containment. A new multivariate statistical process control (MSPC) method is presented that utilizes the measurement of process variable relationships to achieve a more robust quality control system. This approach not only detects process out...
متن کاملa new approach to credibility premium for zero-inflated poisson models for panel data
هدف اصلی از این تحقیق به دست آوردن و مقایسه حق بیمه باورمندی در مدل های شمارشی گزارش نشده برای داده های طولی می باشد. در این تحقیق حق بیمه های پبش گویی بر اساس توابع ضرر مربع خطا و نمایی محاسبه شده و با هم مقایسه می شود. تمایل به گرفتن پاداش و جایزه یکی از دلایل مهم برای گزارش ندادن تصادفات می باشد و افراد برای استفاده از تخفیف اغلب از گزارش تصادفات با هزینه پائین خودداری می کنند، در این تحقیق ...
15 صفحه اولData Mining in Fault Injection
This paper outlines a method and environment for reflecting the effects of faults in the behavioral software models providing a way for building abstract reusable fault models that are applicable even in early phases of the software development. The main focus is on the application of intelligent data processing methods for extracting important phenomena from the database of fault injection exp...
متن کاملA neural network-based approach for dynamic quality prediction in a plastic injection molding process
This paper presents an innovative neural network-based quality prediction system for a plastic injection molding process. A self-organizing map plus a back-propagation neural network (SOM-BPNN) model is proposed for creating a dynamic quality predictor. Three SOM-based dynamic extraction parameters with six manufacturing process parameters and one level of product quality were dedicated to trai...
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: Procedia CIRP
سال: 2019
ISSN: 2212-8271
DOI: 10.1016/j.procir.2019.03.204