Essays about: "Defect classification"
Showing result 1 - 5 of 26 essays containing the words Defect classification.
-
1. ML enhanced interpretation of failed test result
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This master thesis addresses the problem of classifying test failures in Ericsson AB’s BAIT test framework, specifically distinguishing between environment faults and product faults. The project aims to automate the initial defect classification process, reducing manual work and facilitating faster debugging. READ MORE
-
2. Semi-supervised anomaly detection in mask writer servo logs : An investigation of semi-supervised deep learning approaches for anomaly detection in servo logs of photomask writers
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Semi-supervised anomaly detection is the setting, where in addition to a set of nominal samples, predominantly normal, a small set of labeled anomalies is available at training. In contrast to supervised defect classification, these methods do not learn the anomaly class directly and should have better generalization capability as new kinds of anomalies are introduced at test time. READ MORE
-
3. Defect classification in LPBF images using semi-supervised learning
University essay from Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013); Karlstads universitet/Avdelningen för datavetenskapAbstract : Laser powder bed fusion is an additive manufacturing technique that is capable of building metallic parts by spreading many layers of metal powder over a build surface and using a laser to melt specific sections of the surface. The part is built by melting consecutive layers on top of each other until the design is completed. READ MORE
-
4. Quality inspection of multiple product variants using neural network modules
University essay from Högskolan i Skövde/Institutionen för ingenjörsvetenskapAbstract : Maintaining quality outcomes is an essential task for any manufacturing organization. Visual inspections have long been an avenue to detect defects in manufactured products, and recent advances within the field of deep learning has led to a surge of research in how technologies like convolutional neural networks can be used to perform these quality inspections automatically. READ MORE
-
5. Evaluation of Convolutional Neural Networks for Image Quality Classification based on Synthetic Data
University essay from Lunds universitet/Matematik LTHAbstract : In camera production the image quality is of utter importance. Several tests during the production ensure this high quality. In this thesis the possibility of creating a final test, that classifies the image quality with the help of machine learning, specifically convolutional neural networks, was investigated. READ MORE
