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基于红外热成像技术的发动机故障诊断
投稿时间:2015-10-15  修订日期:2016-01-25  点此下载全文
引用本文:宓为建,沈晴,刘园,曹沛,宓超.基于红外热成像技术的发动机故障诊断[J].上海海事大学学报,2016,37(4):65-69.
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作者单位
宓为建 上海海事大学 物流工程学院
沈晴 上海振华重工集团(股份)有限公司
刘园 上海海事大学 物流工程学院
曹沛 上海振华重工集团(股份)有限公司
宓超 上海海事大学 物流工程学院
基金项目:上海市自然科学基金(15ZR1420200);上海市青年科技英才扬帆计划(15YF1404900);上海市科学技术委员会科技创新行动计划(14170501500);上海市教育委员会科研创新项目(14ZZ140);上海海事大学研究生创新基金(2014ycx040)
中文摘要:为改进现行发动机故障诊断方法的不足,寻找一种半自动或自动的发动机故障诊断方法,在传统发动机故障诊断方法的基础上,提出应用红外热成像技术进行故障诊断的方法.该方法对正常运转和故障运转条件下发动机特殊部位的温度场进行监测;通过对比热像图和绘制温度曲线图,结合图像处理技术,对发动机常见的漏水、漏油、发动异常和缺缸这4类常见故障进行诊断.实验结果验证了该方法的可行性.该方法与现行的振动、压力、能耗、尾气等相应方式相比,具有非接触、无干扰、无损、准确、无需大量仪器、便捷、直观、迅速等优点.故障所对应的温度特征指向性明确.若能结合相应的识别程序对故障进行自动识别,就能在提高诊断效率和精度的同时防止因操作人员操作不当等造成的事故,对实现自动、半自动故障诊断具有重要意义.
中文关键词:红外热成像技术  故障诊断  发动机  图像处理
 
Engine fault diagnosis based on infrared thermal imaging technology
Abstract:To improve the shortages of current engine fault diagnosis methods and seek a semi automatic or automatic engine fault diagnosis method, on the basis of the traditional engine fault diagnosis methods, the method of using the infrared thermal imaging technology for fault diagnosis is put forward. In the method, temperature fields of special positions of engines under the conditions of normal operation and fault operation are monitored; through comparing thermal images and plotting temperature curves, combined with the image processing technology, 4 types of common faults of engines are diagnosed including water leakage, oil leakage, misfiring and cylinder misfiring. The experimental results verify the feasibility of this method. Compared with the existing methods related with vibration, pressure, energy consumption and exhaust gas, this method has advantages such as non contact, no interference, non destruction, accuracy, no need of a lot of instruments, convenience, intuitiveness and quickness. Temperature characteristics of faults have clear directivity. If corresponding recognition programs are used to accomplish automatic identification for faults, the diagnostic efficiency and precision will be improved, and the accidents caused by improper operation from operators will be prevented, which is of great significance for realizing automatic or semi automatic fault diagnosis.
keywords:infrared thermal imaging technology  fault diagnosis  engine  image processing
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