Feature Extraction of Double Pulse Metal Inert Gas Welding Based on Broadband Mode Decomposition and Locality Preserving Projection

Feature Extraction of Double Pulse Metal Inert Gas Welding Based on Broadband Mode Decomposition and Locality Preserving Projection

A novel adaptive signal decomposition algorithm, broadband mode decomposition (BMD), is proposed for analyzing nonstationary broadband signals. Unavoidable error will occur when applying former time-frequency methods to broadband signals, which is caused by Gibbs phenomenon and the calculation of ex...

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Main Authors: Yanfeng Peng, Zucheng Wang, Kuanfang He, Yanfei Liu, Qingxian Li, Liangjiang Liu, Xianyu Zhu
Format: Article
Language:English
Published: Hindawi Limited 2020-01-01
Series:Mathematical Problems in Engineering
Online Access:http://dx.doi.org/10.1155/2020/7576034
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spelling doaj-782b1905539a4c69bbdaca6fe1a7ef142020-11-25T03:27:59ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472020-01-01202010.1155/2020/75760347576034Feature Extraction of Double Pulse Metal Inert Gas Welding Based on Broadband Mode Decomposition and Locality Preserving ProjectionYanfeng Peng0Zucheng Wang1Kuanfang He2Yanfei Liu3Qingxian Li4Liangjiang Liu5Xianyu Zhu6Hunan Provincial Key Laboratory of Health Maintenance for Mechanical Equipment, Hunan University of Science and Technology, Xiangtan 411201, ChinaHunan Provincial Key Laboratory of Health Maintenance for Mechanical Equipment, Hunan University of Science and Technology, Xiangtan 411201, ChinaHunan Provincial Key Laboratory of Health Maintenance for Mechanical Equipment, Hunan University of Science and Technology, Xiangtan 411201, ChinaCollege of Mechanical and Vehicle Engineering, Hunan University, Changsha 410082, ChinaHunan Institute of Metrology and Test, Changsha 410014, ChinaHunan Institute of Metrology and Test, Changsha 410014, ChinaHunan Institute of Metrology and Test, Changsha 410014, ChinaA novel adaptive signal decomposition algorithm, broadband mode decomposition (BMD), is proposed for analyzing nonstationary broadband signals. Unavoidable error will occur when applying former time-frequency methods to broadband signals, which is caused by Gibbs phenomenon and the calculation of extrema. To overcome that problem, BMD is proposed by searching in the associative dictionary that contains both broadband and narrowband signals. The procedure of the proposed method is as follows: First, the collected datasets are analyzed by BMD and the composite multiscale fuzzy entropies (CMFEs) of the obtained effective components are calculated. Then, locality preserving projection (LPP) is applied for further feature extraction. Analysis results show BMD is more effective when drawing broadband feature from noise and BMD is adaptive for the quality monitoring of DPMIG welding.http://dx.doi.org/10.1155/2020/7576034
collection DOAJ
language English
format Article
sources DOAJ
author Yanfeng Peng
Zucheng Wang
Kuanfang He
Yanfei Liu
Qingxian Li
Liangjiang Liu
Xianyu Zhu
spellingShingle Yanfeng Peng
Zucheng Wang
Kuanfang He
Yanfei Liu
Qingxian Li
Liangjiang Liu
Xianyu Zhu
Feature Extraction of Double Pulse Metal Inert Gas Welding Based on Broadband Mode Decomposition and Locality Preserving Projection
Mathematical Problems in Engineering
author_facet Yanfeng Peng
Zucheng Wang
Kuanfang He
Yanfei Liu
Qingxian Li
Liangjiang Liu
Xianyu Zhu
author_sort Yanfeng Peng
title Feature Extraction of Double Pulse Metal Inert Gas Welding Based on Broadband Mode Decomposition and Locality Preserving Projection
title_short Feature Extraction of Double Pulse Metal Inert Gas Welding Based on Broadband Mode Decomposition and Locality Preserving Projection
title_full Feature Extraction of Double Pulse Metal Inert Gas Welding Based on Broadband Mode Decomposition and Locality Preserving Projection
title_fullStr Feature Extraction of Double Pulse Metal Inert Gas Welding Based on Broadband Mode Decomposition and Locality Preserving Projection
title_full_unstemmed Feature Extraction of Double Pulse Metal Inert Gas Welding Based on Broadband Mode Decomposition and Locality Preserving Projection
title_sort feature extraction of double pulse metal inert gas welding based on broadband mode decomposition and locality preserving projection
publisher Hindawi Limited
series Mathematical Problems in Engineering
issn 1024-123X
1563-5147
publishDate 2020-01-01
description A novel adaptive signal decomposition algorithm, broadband mode decomposition (BMD), is proposed for analyzing nonstationary broadband signals. Unavoidable error will occur when applying former time-frequency methods to broadband signals, which is caused by Gibbs phenomenon and the calculation of extrema. To overcome that problem, BMD is proposed by searching in the associative dictionary that contains both broadband and narrowband signals. The procedure of the proposed method is as follows: First, the collected datasets are analyzed by BMD and the composite multiscale fuzzy entropies (CMFEs) of the obtained effective components are calculated. Then, locality preserving projection (LPP) is applied for further feature extraction. Analysis results show BMD is more effective when drawing broadband feature from noise and BMD is adaptive for the quality monitoring of DPMIG welding.
url http://dx.doi.org/10.1155/2020/7576034
work_keys_str_mv AT yanfengpeng featureextractionofdoublepulsemetalinertgasweldingbasedonbroadbandmodedecompositionandlocalitypreservingprojection
AT zuchengwang featureextractionofdoublepulsemetalinertgasweldingbasedonbroadbandmodedecompositionandlocalitypreservingprojection
AT kuanfanghe featureextractionofdoublepulsemetalinertgasweldingbasedonbroadbandmodedecompositionandlocalitypreservingprojection
AT yanfeiliu featureextractionofdoublepulsemetalinertgasweldingbasedonbroadbandmodedecompositionandlocalitypreservingprojection
AT qingxianli featureextractionofdoublepulsemetalinertgasweldingbasedonbroadbandmodedecompositionandlocalitypreservingprojection
AT liangjiangliu featureextractionofdoublepulsemetalinertgasweldingbasedonbroadbandmodedecompositionandlocalitypreservingprojection
AT xianyuzhu featureextractionofdoublepulsemetalinertgasweldingbasedonbroadbandmodedecompositionandlocalitypreservingprojection
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