A Rapidly Convergent Empirical Mode Decomposition Method for Analyzing the Environmental Temperature Effects on Stay Cable Force. (15th February 2018)

• Record Type: Journal Article
• Authors: Wu, Wen‐Hwa; Chen, Chien‐Chou; Jhou, Jhe‐Wei; Lai, Gwolong
• Is Part Of: Computer-aided civil and infrastructure engineering. Volume 33:Number 8(2018:Aug.)
• Page Start: 672
• Page End: 690
• Publication Date: 2018-02-15
• Subjects: Civil engineering -- Data processing -- Periodicals; Computer-aided engineering -- Periodicals; 624.0285
• DOI: 10.1111/mice.12355
• Languages: English
• ISSNs: 1093-9687

Abstract

Abstract: The variation histories of cable force and effective temperature were recently processed by empirical mode decomposition (EMD) to discover that they can both be categorized into two main components including the daily and long‐term variations. A rapidly convergent EMD method aimed to more efficiently decompose these two types of signals is established in this study. To deal with the typically encountered problems of slow convergence, scale mixing, and end effect in EMD, an objective stoppage criterion is first proposed and efforts are also made to clarify the origin of scale mixing and slow divergence. Based on the above explorations, an extremum neglecting algorithm and a boundary modification technique with appropriate control points are further developed to complete the whole methodology. The superiority of this new method is verified by more concisely decomposing the previously processed data into fewer intrinsic mode functions with a significant reduction in computation time.