NDLI: Probability distribution of knock factor and knock-band method for knock detection

Content Provider	IEEE Xplore Digital Library
Author	KangJian Zhang Li Guo Gang Xu Feng-chu Li Yuhua
Copyright Year	2010
Description	Author affiliation: Collage of Mechanical Engineering, Chongqing University, China (KangJian Zhang; Li Guo Gang) \|\| Technical Center, Chongqing JIANSHE Motorcycle CO., LTD, China (Xu Feng-chu; Li Yuhua)
Abstract	Knock Factor relatively indicates the knock energy during knocking combustion, and is widely used for knock detection of gasoline engines. Focusing on probability distribution of KF, mass data of combustion test were studied statistically by several approaches such as quantile graph, kurtosis and skewness check, as well as Lilliefors test. It is found that KF sample of test cycles without knocking combustion conforms to the law of normal distribution while KF sample of test cycles with knocking combustion does not. However, the KF sample embodying knock signal can be still normalized by removing abnormal individual which can be identified by the statistical method of step-phase check. Based on probability distribution characteristics of normalized KF sample, the confidence interval of μ+3σ was set as knock-band detector. Test cycle which KF locates within the confidence interval band was treated as a light knock cycle, test cycle which KF goes beyond the superior limit of the band was considered as a knock cycle. High-pass filter cylinder pressure signals of knock cycles and normal combustion cycle were investigated to test and verify the knock-band detection method.
Starting Page	6049
Ending Page	6053
File Size	337381
Page Count	5
File Format	PDF
ISBN	9781424477371
e-ISBN	9781424477395
DOI	10.1109/MACE.2010.5536754
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-06-26
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Knock Statistical analysis Gaussian distribution Heat-release rate Probability distribution Combustion Cyclic variation Petroleum Engines Combustion diagnosis Filters Combustion chamber Squish Detectors Signal processing Testing
Content Type	Text
Resource Type	Article

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