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引用次数: 0

摘要

农用拖拉机在一天内进行各种作业,需要在维护管理策略中采用状态监测技术,特别是在发动机润滑油更换间隔和提前故障前预测部件更换时间方面。TPU/UPM的六台菲亚特拖拉机在三个换油间隔内进行了监测,并使用电感耦合等离子体和光学发射光谱(ICP & OES)对油样进行了分析。从采集的39份样品中测定了23种元素,包括发动机的磨损元素、油品制造商的添加剂元素和环境中的污染元素。结果表明,15种元素(Al、B、Ca、Cr、Cu、Pb、Mg、Mo、P、Ti、V、Zn、Si、K和Na)属于磨损、添加剂和污染源,差异显著。这就需要对单个拖拉机进行状态监测,而不是在发生故障后进行预防性维护甚至故障维护的一般规则。
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Condition monitoring of TPU/UPM Fiat tractors using ICP and OES techniques
The use of agricultural tractors for various operations within a day calls for adoption of condition monitoring techniques in maintenance management strategies especially regarding engine lubricating oil change interval and predicting components replacement time before premature failure. Six Fiat tractors from TPU/UPM were monitored over three oil change intervals and oil samples taken for analysis using inductively coupled plasma and optical emission spectroscopy (ICP & OES). Twenty-three elements including wearing elements from engine, additive elements from oil manufacturers, and contaminating elements from the environment were determined from 39 samples collected. Results indicated significant differences for 15 elements (Al, B, Ca, Cr, Cu, Pb, Mg, Mo, P, Ti, V, Zn, Si, K, and Na) belonging to wear, additive, and contaminating sources. This necessitated the use of condition monitoring for individual tractors instead of the general rule of preventive maintenance or even breakdown maintenance performed after the occurrence of failure.
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