Statistical process control based on Multivariate Image Analysis: A new proposal for monitoring and defect detection
نویسندگان
چکیده
منابع مشابه
Statistical process control based on Multivariate Image Analysis: A new proposal for monitoring and defect detection
The monitoring, fault detection and visualization of defects are a strategic issue for product quality. This paper presents a novel methodology based on the integration of textural Multivariate image analysis (MIA) and multivariate statistical process control (MSPC) for process monitoring. The proposed approach combines MIA and p-control charts, as well as T 2 and RSS images for defect location...
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Information from on-line imaging sensors has great potential for the monitoring and control of quality in spatially distributed systems. The major difficulty lies in the efficient extraction of information from the images, information such as the frequencies of occurrence of specific and often subtle features, and their locations in the product or process space. This paper presents an overview ...
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Today, with the growth of technology, monitoring processes by the use of video and satellite sensors have been more expanded, due to their rich and valuable information. Recently, some researchers have used sequential images for image defect detection because a single image is not sufficient for process monitoring. In this paper, by adding the time dimension to the image-based process monitorin...
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ژورنال
عنوان ژورنال: Computers & Chemical Engineering
سال: 2014
ISSN: 0098-1354
DOI: 10.1016/j.compchemeng.2014.09.014