A method for problem diagnosis in multivariate quality control: Constrained solution spaces for process oriented basis representations

Çok değişkenli kalite kontrolde problem kaynaklarının teşhisi önemli bir sorundur. Bu konu üzerine yakın zamanda yapılan araştırmaların bir kısmı, çok değişkenli verilerde oluşan bazı desenlerle problem kaynakları arasında doğrudan bağlantılar olmasından hareket etmişlerdir. Süreç tabanlı temel gösterimleri, bu desenleri saptamak amacıyla geliştirilmiş bir yöntemdir; çoklu doğrusal regresyona dayanmaktadır. Temel fikri çözüm uzayını pratik mühendislik sınırları kullanarak kısıtlamaktır.

Çok değişkenli kalite kontrolde problem teşhisi için bir yöntem: Süreç tabanlı temel gösterimleri için çözüm uzayının sınırlandırılması

Diagnosis of problem causes has been an important concern in multivariate quality control. Some of the recent research on this subject has taken their motivation from the fact that there are some patterns in multivariate data that can be directly linked with problem causes. Process oriented basis representations is a methodology developed for identifying such patterns; it is based on multiple linear regression. This study proposes some improvements on this method for better identification of patterns. The basic idea is to constrain the solution space using practical engineering bounds.

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