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Vibroacoustic Real Time Fuel Classification in Diesel Engine

机译:柴油机振动声实时燃料分类

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摘要

Five models and methodology are discussed in this paper for constructing classifiers capable of recognizing in real time the type of fuel injected into a diesel engine cylinder to accuracy acceptable in practical technical applications. Experimental research was carried out on the dynamic engine test facility. The signal of in-cylinder and in-injection line pressure in an internal combustion engine powered by mineral fuel, biodiesel or blends of these two fuel types was evaluated using the vibro-acoustic method. Computational intelligence methods such as classification trees, particle swarm optimization and random forest were applied.
机译:本文讨论了用于构建分类器的五个模型和方法,这些分类器能够实时识别喷射到柴油机气缸中的燃料类型,以达到实际技术应用可接受的精度。在动态发动机测试设备上进行了实验研究。使用振动声法评估了由矿物燃料,生物柴油或这两种燃料的混合物驱动的内燃机的缸内和喷射管路压力信号。应用了分类树,粒子群优化和随机森林等计算智能方法。

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