【作者】 高飞； 高洪涛；

【Author】 Gao Fei Gao Hong Tao(College of Marine Engineering, Dalian Maritime University, Dalian, 116026, China)

【机构】 大连海事大学轮机工程学院；

【摘要】 本文介绍了制冷系统的故障特点及当前制冷故障诊断技术的发展概况,并在此基础上主要论述了目前最先进的几种应用于制冷系统的故障诊断方法:专家系统,神经网络,遗传算法,故障树,小波分析和模糊诊断。通过实际中具体设备的故障事例,系统的分析了几种方法的诊断机理,指出了各种方法的优越性及不足。并且以工程实践中几种具有典型故障特征的设备为对象,比较分析了各种诊断方法的适用条件,同时介绍了联合运用以上几种方法的混合故障诊断技术。对于了解当前制冷系统故障诊断领域的发展有一定的参考价值。更多还原

【Abstract】 The paper introduces the refrigeration system fault characteristics and the present development of refrigeration fault diagnosis. It discusses several advanced method in refrigeration system fault diagnosis at present: expert system, neural network, genetic algorithm, fault tree, wavelet analysis and fuzzy diagnosis. Based on the fault cases of chillers, the paper analyses the essence of these methods, indicates the advantage and disadvantage of all these methods. It also contrasts these methods and points out the using conditions, by analyzing several equipments which have the typical fault characteristics in engineering practice. Furthermore, it introduces the technology of combining these methods into one method to diagnose fault. The paper is benefit for understanding the present development in the field of refrigeration system fault diagnosis.更多还原