Shearlet regularization and dimensionality reduction for the temperature distribution sensing
文献类型:期刊论文
作者 | Lei, J.1; Liu, W. Y.1; Liu, Q. B.2; Wang, X. Y.2; Liu, S.1 |
刊名 | MEASUREMENT
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出版日期 | 2016-03-01 |
卷号 | 82页码:176-187 |
关键词 | Temperature distribution sensing Low-dimensional representation Nonnegative matrix factorization Reconstruction method |
英文摘要 | In this paper, a new dimensionality reduction based temperature distribution sensing (TDS) method is proposed to reconstruct the temperature distribution via the limited number of the scattered temperature measurement data. The projective nonnegative matrix factorization (PNMF) method is developed to exact the basis vectors, and the augmented Lagrangian multipliers (ALM) method is proposed to solve the proposed PNMF model. A dimensionality reduction model is obtained via projecting the original temperature distribution onto the spaces spanned by a set of basis. An objective functional that considers the inaccurate properties of the reconstruction model and the measurement data, the Shearlet regularization and the total variation (TV) method is proposed to convert the TDS task into an optimization problem, where the temperature distribution is indirectly reconstructed via solving a low-dimensional vector. An iteration scheme is developed to solve the objective functional. Numerical simulation results validate the feasibility of the proposed reconstruction algorithm. (C) 2016 Elsevier Ltd. All rights reserved. |
WOS标题词 | Science & Technology ; Technology |
类目[WOS] | Engineering, Multidisciplinary ; Instruments & Instrumentation |
研究领域[WOS] | Engineering ; Instruments & Instrumentation |
关键词[WOS] | NONNEGATIVE MATRIX FACTORIZATION ; PRINCIPAL COMPONENT ANALYSIS ; PROPER ORTHOGONAL DECOMPOSITION ; SIMPLEX-METHOD ; RECONSTRUCTION ; GAPPY ; ALGORITHMS ; REPRESENTATION ; MINIMIZATION ; COMPLETION |
收录类别 | SCI |
语种 | 英语 |
WOS记录号 | WOS:000369235600018 |
公开日期 | 2016-05-03 |
源URL | [http://ir.etp.ac.cn/handle/311046/112352] ![]() |
专题 | 工程热物理研究所_中国科学院工程热物理所(论文库)_期刊论文(SCI) |
作者单位 | 1.North China Elect Power Univ, Sch Energy Power & Mech Engn, Beijing 102206, Peoples R China 2.Chinese Acad Sci, Inst Engn Thermophys, Beijing 100190, Peoples R China |
推荐引用方式 GB/T 7714 | Lei, J.,Liu, W. Y.,Liu, Q. B.,et al. Shearlet regularization and dimensionality reduction for the temperature distribution sensing[J]. MEASUREMENT,2016,82:176-187. |
APA | Lei, J.,Liu, W. Y.,Liu, Q. B.,Wang, X. Y.,&Liu, S..(2016).Shearlet regularization and dimensionality reduction for the temperature distribution sensing.MEASUREMENT,82,176-187. |
MLA | Lei, J.,et al."Shearlet regularization and dimensionality reduction for the temperature distribution sensing".MEASUREMENT 82(2016):176-187. |
入库方式: OAI收割
来源:工程热物理研究所
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