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Defect Prediction on Production Line

2021
Quality control has long been one of the most challenging fields of manufacturing. The development of advanced sensors and the easier collection of high amounts of data designate the machine learning techniques as a timely natural step forward to leverage quality decision support and manufacturing challenges.
Souhaiel Khalfaoui   +9 more
openaire   +3 more sources

Manufacturing Or Production Defects And Design Defects

2020
Abstract There are generally few difficulties in applying the consumer expectation test of s 3(1) of the 1987 Act to manufacturing or production defects. Thus it can be said that: ‘persons generally are clearly entitled to expect that a product conform with the standard of safety common to the items of a same line of products marketed by
Duncan Fairgrieve, Richard Goldberg
openaire   +1 more source

Defect classification for mechatronic products

Production Engineering, 2008
Modern investment goods such as commercial vehicles show a rise in complexity due to an increase in mechatronic elements. As a result, such products are more sensitive to defects, often reflected in reduced reliability during product usage. Therefore, reliability is a quality feature that is gaining more importance throughout the entire product life ...
Jan C. Aurich   +4 more
openaire   +1 more source

CITRULLINEMIA WITH DEFECTIVE UREA PRODUCTION

Pediatrics, 1967
The second case of citrullinemia is described in a 21-month-old female. In contrast to previous patients with urea cycle enzyme defects, the present child fails to produce normal amounts of urea. Physical growth has been adequate, except for microcephaly. Unfortunately, her psychomotor milestones are slow.
G, Morrow, L A, Barness, M L, Efron
openaire   +2 more sources

Product defect prediction model

2011 6th IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI), 2011
The prediction of software reliability can determine the current reliability of a product, using statistical techniques based on the failures data, obtained during testing or system usability. Software reliability growth models attempt to predict the number of defect using a correlation between exponential function and defect data.
Ana Maria Vladu   +2 more
openaire   +1 more source

Defective Products

2005
Abstract Where an injury is caused by a defective product there are three potential grounds for establishing a right to compensation. First, a defect will probably have been a breach of contract and the purchaser can claim against the seller for this breach.
openaire   +2 more sources

Quantitating Defective Ribosome Products

2005
The fidelity of the protein production process is monitored by quality control machinery, which ensures that aberrant proteins are not deployed throughout the cell. A significant fraction (upwards of 30%) of proteins are degraded by proteasomes shortly after their synthesis, and we have termed such proteins defective ribosomal proteins (DRiPs).
Shu-Bing, Qian   +2 more
openaire   +2 more sources

Defect Production by Irradiation

1983
Defects or impurities are introduced in semiconductors, intentionally or unintentionally, during the growth process or following heat treatments. Quenching, plastic deformation and irradiation are other ways by which defects can be created. The problem with heating, quenching and plastic deformation [8.1] is that the defects produced, practically all ...
Jacques Bourgoin, Michel Lannoo
openaire   +1 more source

Keyhole Defect Production in Tubular Bone

Journal of Forensic Sciences, 2000
Abstract Fracture characteristics, reported primarily for the cranium, are valuable indicators of bullet direction. A bullet striking the vault tangentially produces an irregular opening, termed a “keyhole defect,” with the circular portion of the defect being the initial point of impact.
H E, Berryman, W M, Gunther
openaire   +2 more sources

Detection of defective products using stereovision

2019 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA), 2019
In this paper a stereovision detector of defective products for vision inspection on the production line is proposed. The proposed stereoscopic classifier uses an artificial neural network (ANN) to classify products by analysis of images taken from both the left and right view.
Julian Balcerek   +3 more
openaire   +1 more source

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