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Application of an Improved ISODATA Method to Pipeline Leak Detection

Petroleum Science 2007年第2期4卷 97-104页

作者： hu jinqiu zhang laibin wang zhaohui liang wei School of Mechanical and Electronic Engineering China University of Petroleum Beijing 102249 China

Increasingly serious leak problem in pipeline transportation has not only affected the operation of pipelines but also caused loss of precious resource and environmental damage. Based on the analysis of the occurrence of negative pressure waves and the unsupervised learning of pattern recognition, the Interactive Self-organizing Data Analysis Technique Algorithm （ISODATA） method was used to classify the negative pressure waves and then the states of pipelines could be determined. K L transformation was used to eliminate the correlativity of feature parameters and to reduce the dimensionality of feature vector space to speed up calculation. Experimental results validated the accuracy and practical value of this method.

关键词： Negative pressure wave ISODATA leak detection K_L transformation

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Incipient mechanical fault detection based on multifractal and MTS methods

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Petroleum Science 2009年第2期6卷 208-216页

作者： hu jinqiu zhang laibin liang wei wang zhaohui School of Mechanical and Electronic Engineering China University of Petroleum Beijing 102249 China

An incipient mechanical fault detection method, combining multifractal theory and Mahalanobis-Taguchi system （MTS）, which is based on statistical technology, is proposed in this paper. Multifractal features of vibration signals obtained from machine state monitoring are extracted by multifractal spectrum analysis and generalized fractal dimensions. Considering the situation of mass samples of normal mechanical running state and few fault states, the feature parameters corresponding to different mechanical running states are further optimized by a statistical method, based on which incipient faults are subsequently identified and diagnosed accurately. Experimental results proved that the method combining multifractal theory and MTS can be used for incipient fault state recognition effectively during the mechanical running process, and the accuracy of fault state identification is improved.

关键词： Incipient fault fault detection multifractal Mahalanobis-Taguchi system (MTS)

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