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                                柴油發動機故障診斷技術研究與應用
                                鄭勁1,丁雪興2
                                1.蘭州石化職業技術學院,甘肅蘭州 730060;2.蘭州理工大學石油化工學院,甘肅蘭州 730050

                                摘要:應用振動法對柴油機氣缸體上的振動信號進行分析,得出總振動量級主隨活塞與氣缸套磨損間隙的增大而逐級放大。根據氣缸體振動加速度響應功率譜圖和柴油發動機總振動量級,可以確定活塞與氣缸壁的間隙大小。應用油樣鐵譜分析技術,可以確定發動機的潤滑狀況及摩擦副的磨損程度和部位,并通過實例證明了其在柴油發動機故障診斷中的有效性。應用直讀式原子發射光譜儀對柴油發動機潤滑油油樣進行檢測,監控柴油發動機曲軸滑動軸承磨損狀況,對保障發動機可靠運行起到很好的作用。

                                關鍵詞:柴油發動機;故障診斷;振動法;油樣鐵譜分析法;光譜分析
                                中圖分類號U472.9         文獻標識碼A            文章編號10060316 (2012) 06006704
                                Study and application of diagnostic method to diesel engine fault analysis
                                ZHENG Jing1,DING Xue-xing2
                                (1.Lanzhou Petrochemical college of Vocational Technology, Lanzhou 730060,China;
                                2.College of Petrochemical Engineer, Lanzhou University of Technology, Lanzhou 730050,China )

                                 AbstractTheapplication of vibration method to analyzing diesel engine cylinder block vibration signal resulted in the progressive increase of the general vibration magnitude mainly along the piston and cylinder sleeve. According to the cylinder body vibration acceleration power spectrum and total diesel engine vibration magnitude, the gap between the piston and the cylinder wall can then be determined. It is found that the application of oil sample iron spectral analysis method can determine and the status of engine's lubrication and the location and wear extent of the engine, and hence demonstrates through examples the effctiveness of applying oil sample iron spectrum analysis to diesel engine fault diagnosis. The author points out further in this paper that the application of direct reading atomic emission spectrometer to diesel engine lubricating oil samples for testing, monitoring wear condition of bearing in diesel engine crankshaft plays a significant role in ensuring a reliable engine performance.

                                Key wordsdiesel engines;fault diagnosis;vibration method;sample oil iron spectrum analysis method;spectroscopy of liquid lubricants


                                ———————————————
                                收稿日期:2011-12-04
                                作者簡介:鄭勁(1959-),浙江平陽人,學士,主要研究方向為汽車故障診斷與檢測。

                                 

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