摘要
本文利用概率统计理论，在全国８个铁路局的２９个到这场或编组场，对各种气候环境下采集的１０万个轴温数据进行了分析，运用模糊数学理论给出了不同等级热轴的判别模式，以及运行列车热轴预报方法。为建立“红外热轴监测系统”的计算机人工智能预报热轴打下了基础。
This paper applies fuzzy mathematics and probabilistic method for studying the variation regulation of running car box temperature, setting up the prediction standards and modes for infrared hot box detection. Database contains 100,000 box temperature samples collected from 29 arrival and marshalling yards of eight railway administrations.The research achievements lay the foundation of artifical intellectural warnning of infrared hot box monitoring system.
出处
《铁道学报》
EI
CAS
CSCD
北大核心
1996年第3期20-28,共9页
Journal of the China Railway Society
