Air Compressor Wear Condition Monitoring Based on Oil Analysis Technology

Abstract:

In order to verify the effectiveness of oil analysis technology on air compressor condition monitoring, oil samples are taken from lubricating system of D-100/8 type air compressor for monitoring by comprehensively using atomic emission spectroscopic analysis technology and ferrographic analysis technology. The result shows that the atomic emission spectroscopic analysis can comprehensively monitor content of additives, contaminants and wear metals in oil products. The effective analysis range of emission spectroscopy is particles with size smaller than 8~10μm and it fails to measure large-size wear particles produced from heavy wear of the equipment. However, the ferrographic analysis can further confirm wear condition of the equipment according to size, shape, material and superheated degree of particles, which just makes up the shortage. Thus, the combination of atomic emission spectroscopic analysis and ferrographic analysis is quite necessary for monitoring contamination and wear condition of lubricating oil products of air compressor and preventing sudden failure of machinery.

• Periodical: Applied Mechanics and Materials (Volumes 66-68)
• Pages: 498-503
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.66-68.498
• Online since: July 2011
• Authors: Xu Feng Jiang, Zhen Hui Qiu, Ying Zong
• Keywords: Air-Compressor, Condition Monitoring, Oil Analysis

References

[1] Zhang Yingtang and Ren Guoquan: Lubrication Engineering. 2 (2000), pp.65-66.

[2] Li Qiongwei, Mao Meijuan and Chen Yong: China Mechanical Engineering Vol. 15 (2004), pp.272-275.

[3] Xu Bin and Yu Xuejun: Lubricating Oil Vol. 21 (2006), pp.61-64.

[4] Li Zhuguo: Oil Analysis diagnostic techniques (Shanghai Science and Technology Press Shanghai, 1997).

[5] Zhao Jinwei, Cheng Wei and Feng Yahui: Spectroscopy and Spectral Analysis. 6(2004), pp.733-736.

[6] Huang Zongping: Metallurgical Analysis. 2 (2006), pp.43-46.

[7] Wei Haijun, Yu Hongliang and Guan Delin: Spectroscopy and Spectral Analysis. 4 (2006), pp.738-740.

[8] Xiao Hanliang: Ferrography and its application in machine monitoring and diagnosis (Beijing People Communication Press Beijing, 1993).