科研之友
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摘要
Marine diesel engines provide the power supply for ships. When working in abnormal operating conditions the efficiency of the diesel engine may be reduced, leading to malfunctions of the power system. As machinery in ships is expected to run continuously, unexpected downtime becomes increasingly costly. It is therefore crucial to monitor the condition of the diesel engine using effective technologies. In this paper, the friction and wear properties of marine diesel engines under abnormal operating states have been studied with the use of ferrographic analysis and spectrum analysis. The wear characteristics of the diesel engine lubricant oil, such as the wear particle number and size distribution, chemical composition and particle textures etc, were analysed to reveal the diesel engine state. Experiments have been carried out on a real ship named 'Changjing 2'. The analysis results show that in the abnormal operating conditions, the wear severity of the engine increases, especially to the piston-cylinder pair. Large wear particles emerge frequently and the concentration of Cu and Fe in the lubricant oil is much higher than in normal engines. Hence, taking these important features as the input vector of a support vector machine (SVM), non-destructive testing of impending faults in marine diesel engines could be achieved.
