Since the inception of Industry 4.0 in 2012, emerging technologies have enabled the
acquisition of vast amounts of data from diverse sources such as machine tools, robust and …

The application of statistical methods to monitor a process is critical to ensure its stability.
Statistical process control aims to detect and identify abnormal patterns that disrupt the …

The control chart patterns are the most commonly used statistical process control (SPC)
tools to monitor process changes. When a control chart produces an out-of-control signal …

The productions quality has become one of the essential issues in the modern
manufacturing industry and several techniques have introduced for control and monitoring …

As the most practical quality control process monitoring tool, control chart patterns (CCPs)
can determine abnormal conditions in the production process. Therefore, automatic and …

Unnatural control chart patterns (CCPs) usually correspond to the specific factors in a
manufacturing process, so the control charts have become important means of the statistical …

Quality control process has become one of the most critical issues in intelligent
manufacturing. As the most practical and prevalent tools for continuously monitoring, control …

Statistical process control (SPC) is an important tool of enterprise quality management. It can
scientifically distinguish the abnormal fluctuations of product quality. Therefore, intelligent …

Industry 4.0 (I4. 0) represents the Fourth Industrial Revolution in manufacturing, expressing
the digital transformation of industrial companies employing emerging technologies …

Infrared image processing is important for fault identification of high-voltage equipment. This
paper studies the problem on the edge detection of infrared image. First a kind of spiking …