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Application of improved EMD algorithm for the fault diagnosis of reciprocating pump valves with spring failure 改进EMD算法在往复泵阀弹簧故障诊断中的应用
International Conference on Information Sciences, Signal Processing and their Applications Pub Date : 1900-01-01 DOI: 10.1109/ISSPA.2007.4555473
Shulin Liu, Haifeng Zhao, Hui Wang, Rui Ma
{"title":"Application of improved EMD algorithm for the fault diagnosis of reciprocating pump valves with spring failure","authors":"Shulin Liu, Haifeng Zhao, Hui Wang, Rui Ma","doi":"10.1109/ISSPA.2007.4555473","DOIUrl":"https://doi.org/10.1109/ISSPA.2007.4555473","url":null,"abstract":"This paper presents an improved EMD algorithm for the fault diagnosis of reciprocating pump valves with spring failure. The vibration signal of reciprocating pumps is of typical nonstationarity. Although the EMD algorithm adopting the cubic spline interpolation is an effective tool processing non-stationary signal, it couldnpsilat accurately extract fault characteristics from the highly nonstationary signals. So the paper presents a new improved EMD algorithm which adopts Piecewise Cubic Hermite Interpolating Polynomial (PCHIP) as envelope of extrema. Through the simulation and application, it can be shown that the PCHIP can extract fault characteristic of valves more exactly than the spline.","PeriodicalId":298434,"journal":{"name":"International Conference on Information Sciences, Signal Processing and their Applications","volume":"132 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124594868","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
A new video coding scheme based upon motion pattern recognition 一种新的基于运动模式识别的视频编码方案
International Conference on Information Sciences, Signal Processing and their Applications Pub Date : 1900-01-01 DOI: 10.1109/ISSPA.2007.4555519
Hongsong Li, Baohua Xu
{"title":"A new video coding scheme based upon motion pattern recognition","authors":"Hongsong Li, Baohua Xu","doi":"10.1109/ISSPA.2007.4555519","DOIUrl":"https://doi.org/10.1109/ISSPA.2007.4555519","url":null,"abstract":"To improve the performances of block-based motion estimation and motion complement (ME+MC), a new object-based video coding scheme using motion pattern recognition (MPR) is proposed and tested in conference video coding. The object pattern codebook for motion pattern recognition is trained by frequency sensitive self-organizing feature maps (FSSOM) algorithm. Experimental results for standard testing sequence dasiaWalter Cronkite framepsila show that FSSOM-MPR algorithm has better prediction coding performances than ME+MC algorithm.","PeriodicalId":298434,"journal":{"name":"International Conference on Information Sciences, Signal Processing and their Applications","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125854021","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Stage feature extraction of flight data based on clustering method 基于聚类方法的飞行数据阶段特征提取
International Conference on Information Sciences, Signal Processing and their Applications Pub Date : 1900-01-01 DOI: 10.1109/ISSPA.2010.5605432
Hui Lu, Kefei Mao
{"title":"Stage feature extraction of flight data based on clustering method","authors":"Hui Lu, Kefei Mao","doi":"10.1109/ISSPA.2010.5605432","DOIUrl":"https://doi.org/10.1109/ISSPA.2010.5605432","url":null,"abstract":"It is an important direction for the development of aircraft health management system to utilize flight data to conduct fault diagnosis and trend prediction. The status of fault is usually correlated with specific flight stage, but flight data recorded by the recorder usually have no corresponding stage feature, which presents great challenges to the application of fault diagnosis system. This paper presents the idea to apply clustering technologies to the stage feature extraction of flight data according to the characteristics of flight data and the advantages of clustering technologies. Based on the idea, this paper conducts research and optimization design work for kernel k-means and utilizes authentic flight parameters to develop simulation analysis work, and the simulation results shows that this idea can solve the stage feature extraction problem of flight data.","PeriodicalId":298434,"journal":{"name":"International Conference on Information Sciences, Signal Processing and their Applications","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130004431","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
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