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3篇 您的检索式:作者名="Liao Linxia"
    题名 作者 年代 出处 被引量
1Application of a Novel Method for Machine Performance Degradation Assessment Based on Gaussian Mixture Model and Logistic Regression显示文摘The currently prevalent machine performance degradation assessment techniques involve estimating a machine's current condition based upon the recognition of indications of failure features,which entail complete data collected in different conditions.However,failure data are always hard to acquire,thus making those techniques hard to be applied.In this paper,a novel method which does not need failure history data is introduced.Wavelet packet decomposition(WPD) is used to extract features from raw signals,principal component analysis(PCA) is utilized to reduce feature dimensions,and Gaussian mixture model(GMM) is then applied to approximate the feature space distributions.Single-channel confidence value(SCV) is calculated by the overlap between GMM of the monitoring condition and that of the normal condition,which can indicate the performance of single-channel.Furthermore,multi-channel confidence value(MCV),which can be deemed as the overall performance index of multi-channel,is calculated via logistic regression(LR) and that the task of decision-level sensor fusion is also completed.Both SCV and MCV can serve as the basis on which proactive maintenance measures can be taken,thus preventing machine breakdown.The method has been adopted to assess the performance of the turbine of a centrifugal compressor in a factory of Petro-China,and the result shows that it can effectively complete this task.The proposed method has engineering significance for machine performance degradation assessment.LIU Wenbin ZHONG Xin LEE Jay LIAO Linxia ZHOU Min 2011Chinese Journal of Mechanical Engineering2011,24,5:3
2A novel method for machine performance degradation assessment based on fixed cycle features test 显示文摘LIAO Linxia 2009Journal of Sound and Vibration2009,323,:1
3A novel method for machine performancedegradation assessment based on fixed cycle featurestest显示文摘Liao Linxia 2009Journal of Sound and Vibration2009,323,:1
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