Improvement of a Rapid Method of Detecting Gasoline Detergency Based on the Image Recognition
Rongshuo Zhang,
Rencheng Zhu,
Ming Jia
et al.
Abstract:The detergency of motor gasoline is closely related to vehicle exhaust emissions and fuel economy. This paper proposed an improved method for the rapid detection of gasoline detergency based on the deposit images of test gasoline on aluminum plates produced by a multichannel gasoline detergency simulation test (MGST). The detection algorithm system was structured to recognize the deposit plate images by computer vision based on the convolutional neural networks (CNNs). Compared with the traditional simulation … Show more
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