The Engine Fault Diagnosis Based on Time Domain and Frequency Domain

Abstract:

Engine is as a power machine, the operating status is good or bad, directly affects the working status of equipment. The status monitoring and fault diagnosis is very necessary to ensure that the equipment runs in its best, and improves equipment maintenance quality and efficiency. The engine failure shows the complexity and diversity of the interaction and complex relationship between the various subsystems of the engine, that is the fault of complexity, ambiguity, correlation, relativity and multiple faults coexistence. The available information are much in the engine diagnosis, for example, the vibration signal from bearings, cylinder head or cylinder block surface; oil, cooling water, pressure of intake, exhaust and fuel; temperature signal; noise, speed or oil-sample signals. In this paper, an engine as an example, engine fault diagnosis experimental system is built, the normal state, left one and right six cylinders off the oil, air filter blockage (inlet wood blockage is 30%, the inlet has screen cloth.) in the load of 2565Nm, and the speeds of 1500r/min, 1800r/min, 2200r/min are studied. The experimental results analysis, feature extraction and fault diagnosis are finished based on the time domain and frequency domain. Keywords: engine, fault diagnosis, time domain, frequency domain.

• Periodical: Advanced Materials Research (Volume 936)
• Pages: 2243-2246
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.936.2243
• Online since: June 2014
• Authors: Zhu Ting Yao*, Hong Xia Pan
• Keywords: Engine, Fault Diagnosis, Frequency Domain, Time Domain

References

[1] Jian-Da Wu, Chao-Qin Chuang, Fault diagnosis of internal combustion engines using visual dot patterns of acoustic and vibration signals, NDT & E International, Volume 38, (2005), p.605–614.

DOI: 10.1016/j.ndteint.2005.02.007

[2] Shiyuan Liu, Fengshou Gu, A Ball, Detection of engine valve faults by vibration signals measured on the cylinder head, Journal of Automobile Engineering, 2006 vol. 220, no. 3, pp.379-386.

DOI: 10.1243/09544070jauto90

[3] Xu Dong Shi, Zhen Zhen Zhang, Xiao Lin Liu, Design and Realization of Aircraft Engine Wire Fault Detection Database, Advanced Materials Research, Vol. 159, 2011, pp.274-278.

DOI: 10.4028/www.scientific.net/amr.159.274

[4] Peng Hengyi, Research on Fault Diagnosis of Internal Combustion Engine Based on Vibration Analysis [D], Huazhong University of Science and Technology, (2004).

[5] Yan Li, Study on Engine Fault Diagnosis Based on Multi-Information Fusion [D], North University of China, (2010).