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农业机械故障诊断技术研究进展与趋势 被引量:4

Research progress and trend of agricultural machinery fault diagnosis technology
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摘要 随着农业经济的快速发展和现代农业机械化水平的不断提高,农业机械逐渐趋于精密复杂化,从而对农业机械故障诊断技术的时效性和准确性提出更高的要求。机械故障诊断技术是农业机械领域一大关键技术,也是目前农业机械领域研究的热点。本文以已有的理论知识为基础,结合国内、外文献对农业机械故障诊断技术进行综合阐述,详细介绍振动监测、油样分析、噪声监测和红外测温4大机械故障诊断技术的研究现状以及机械故障诊断技术的时频域信号分析方法,最后通过通用机械诊断技术的引入、智能化诊断技术在农业机械故障诊断中应用程度的不断提高、多种诊断技术的协调发展3个方面指出了农业机械故障诊断技术的发展趋势。本文为进一步发展农业机械故障诊断技术提供参考。 With the rapid development of agricultural economy and the continuous improvement of modern agricultural mechanization level,agricultural machinery gradually tends to be precise and complicated,which puts forward higher requirements on the timeliness and accuracy of fault diagnosis technology of agricultural machinery.Mechanical fault diagnosis is a key technology in the field of agricultural machinery.In this paper,based on the existing theoretical knowledge,and combined with domestic and foreign literature,the fault diagnosis technology of agricultural machinery was comprehensively expounded.The research status of the four major mechanical fault diagnosis technologies of vibration monitoring,oil sample analysis,noise monitoring and infrared temperature measurement,and the time-frequency domain signal analysis methods of mechanical fault diagnosis technology were introduced in detail.Finally,the development trend of agricultural machinery fault diagnosis technologies was pointed out from different aspects,including the introduction of general machinery diagnosis technology,the continuous improvement of the application of intelligent diagnosis technology in the diagnosis of agricultural machinery faults,and the coordinated development of multiple diagnostic technologies.This paper can provide a reference for the further development of fault diagnosis technology of agricultural machinery.
作者 肖茂华 张亨通 周爽 汪开鑫 令长兵 XIAO Maohua;ZHANG Hengtong;ZHOU Shuang;WANG Kaixin;LING Changbing(College of Engineering,Nanjing Agricultural University,Nanjing 210031,China)
出处 《南京农业大学学报》 CAS CSCD 北大核心 2020年第6期979-987,共9页 Journal of Nanjing Agricultural University
基金 江苏省重点研发计划项目(BE2018127) 江苏省农业科技自主创新资金项目[CX(19)3081]。
关键词 农业机械 故障诊断技术 研究现状 发展趋势 agricultural machinery fault diagnosis technology research status development trend
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