Identification of concurrent control chart patterns with singular spectrum analysis and learning vector quantization

	Identification of concurrent control chart patterns with singular spectrum analysis and learning vector quantization
	Gu, Nong 1; Cao, Zhiqiang2 ; Xie, Liangjun 3; Creighton, Douglas 1; Tan, Min2 ; Nahavandi, Saeid 1
发表期刊	JOURNAL OF INTELLIGENT MANUFACTURING
	2013-12-01
卷号	24 期号:6 页码:1241-1252
文章类型	Article
摘要	Identification of unnatural control chart patterns (CCPs) from manufacturing process measurements is a critical task in quality control as these patterns indicate that the manufacturing process is out-of-control. Recently, there have been numerous efforts in developing pattern recognition and classification methods based on artificial neural network to automatically recognize unnatural patterns. Most of them assume that a single type of unnatural pattern exists in process data. Due to this restrictive assumption, severe performance degradations are observed in these methods when unnatural concurrent CCPs present in process data. To address this problem, this paper proposes a novel approach based on singular spectrum analysis (SSA) and learning vector quantization network to identify concurrent CCPs. The main advantage of the proposed method is that it can be applied to the identification of concurrent CCPs in univariate manufacturing processes. Moreover, there are no permutation and scaling ambiguities in the CCPs recovered by the SSA. These desirable features make the proposed algorithm an attractive alternative for the identification of concurrent CCPs. Computer simulations and a real application for aluminium smelting processes confirm the superior performance of proposed algorithm for sets of typical concurrent CCPs.
关键词	Control Charts Concurrent Patterns Singular Spectrum Analysis Learning Vector Quantization Networks Aluminium Smelting
WOS标题词	Science & Technology ; Technology
关键词[WOS]	INDEPENDENT COMPONENT ANALYSIS ; NEURAL-NETWORK APPROACH ; BLIND-EQUALIZATION ; RECOGNITION ; CRITERION ; PARAMETERS ; ALGORITHM ; SYSTEM
收录类别	SCI
语种	英语
WOS研究方向	Computer Science ; Engineering
WOS类目	Computer Science, Artificial Intelligence ; Engineering, Manufacturing
WOS记录号	WOS:000326297800014
引用统计	被引频次：17[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/3503
专题	复杂系统认知与决策实验室_先进机器人
作者单位	1.Deakin Univ, Ctr Intelligent Syst Res, Waurn Ponds, Vic 3216, Australia 2.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 3.Schlumberger Ltd, Houston, TX 77073 USA
推荐引用方式 GB/T 7714	Gu, Nong,Cao, Zhiqiang,Xie, Liangjun,et al. Identification of concurrent control chart patterns with singular spectrum analysis and learning vector quantization[J]. JOURNAL OF INTELLIGENT MANUFACTURING,2013,24(6):1241-1252.
APA	Gu, Nong,Cao, Zhiqiang,Xie, Liangjun,Creighton, Douglas,Tan, Min,&Nahavandi, Saeid.(2013).Identification of concurrent control chart patterns with singular spectrum analysis and learning vector quantization.JOURNAL OF INTELLIGENT MANUFACTURING,24(6),1241-1252.
MLA	Gu, Nong,et al."Identification of concurrent control chart patterns with singular spectrum analysis and learning vector quantization".JOURNAL OF INTELLIGENT MANUFACTURING 24.6(2013):1241-1252.