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The development of manufacturing engineer for aeroengine demands that the monitoring equipment be able to perform in good status, including vibration signal analysis and fault diagnosis. In order to acquire the decisions in accordance with experiment result, one must have a powerful tool of signal feature extraction for fault pattern recognition, which has significant effect on sampled data processing...
In view of the complex natures of the stator end-winding structure of large capacity turbo-generator, the study of their quality characteristics was carried through experimental modal analysis at the spot. At present there are simple tens on site testpoints and the quality characteristics are not reflected overall. In order to explore the quality characteristics for stator end-winding of large capacity...
To solve the problem of fault diagnosis for engine, due to the complexity of the equipments and the particularity of the operating environments, generally speaking, there is no one-to-one correspondence between the characteristic parameters and status, so, the methods of diagnosis are very complicated. A novel fault diagnosis method based on empirical mode decomposition (EMD) and wavelet packet BP...
In this paper, the Hang Seng Index data for the 22-year period, from December 31, 1986, to June 6, 2008 in the Hongkong stock market, are analyzed. Using rescaled range method, the Hurst exponent is estimated for financial time series and empirical evidence suggests that such market possess strong long-range dependence for both conditional time series and volatility. In order to get more information...
A new class of interacting multiple-model algorithms based on turning rate estimation for maneuvering target tracking is presented. To track turning maneuver, the key is how to estimate the parameter of motion, i.e., target's turning rate. It can be obtained in real time while the target's heading is filtered using multiple motion models, which include current statistical model and constant angular...
This paper investigates the traffic flow time series observed on the Beijing second ring road over a period of about 27 days, from 0:00 a.m. on 12/6/2006 to 16:00 p.m. on 1/1/2007. With the aid of the multifractal detrended fluctuation analysis (MF-DFA) method, the multifractality of the traffic flow series is shown in this paper. Furthermore, the multifractal spectrum is employed in studying the...
This paper brings forward a new method of detection of fabric defect, namely image distance difference arithmetic. The system permit user to set appropriate control parameter of fabric defect defection based on the type of the fabric. It can detect more than 30 kinds of common defects, which has advantages of high identification correctness and fast inspection speed. Finally, using some image processing...
The target of worm attacking is the whole Internet; usually, the defense of worm intrusion based on single computer cannot work well when facing large scale of worms' attacking, so it cannot assure the network security all the time. Inspired by the collaboration of the immune cells, we apply the artificial immunology theory to the design of the active worm defense model AI-WDM, in which the computer...
Linear-time configurations and RAID have garnered great interest from both analysts and theorists in the last several years. Given the current status of pseudorandom models, cyberneticists obviously desire the study of DHCP, which embodies the extensive principles of machine learning. Based on the game-theoretic methodology and lossless algorithm, it is concluded that the discovered scheme can be...
In this study, we consider the application of a hybrid particle swarm algorithm to the grain logistics vehicle routing problem with time windows (VRPTW). VRPTW is a variant of the well-known well-studied vehicle routing problem (VRP), which the objective is to use the limited vehicles so that the maximum number of jobs can be completed with minimum cost. Aiming at the characteristics of the large...
Based on ARM9 RSIC CPU AT91SAM9260 and WinCE, the wireless data acquisition instrument for amusement ride was designed and developed. According to Ping-Pang mechanism, two buffers are created to save real-time sampling data in turns and the full buffer is saved to SD card between sampling timeslot. When data acquisition instrument begins to sample, the sampling start time is saved to a start time...
This paper presents the following inverse eigenvalue problem for generalized periodic Jacobi matrices: Given two unequal real numbers and nonzero vectors. Find n steps real generalized Jacobi matrices J, which is satisfied the conditions that the numbers and the nonzero vectors are the characteristic pairs of J. The algorithm and the theorem of the solution of the problem are given, and some numerical...
This paper presents a novel Adaboost.R training algorithm by weight trimming, which increases the training speed when dealing with large datasets and retain the forecast precision. At each iteration, the algorithm discards most of the samples with small weight and keeps only the samples whit large weight to train the weak learner. During training, only a small portion of the samples are used to train...
A two-period duopoly competition model is developed to analyze the behaviours of and motivations for both Chinese and European firms under European Union anti-dumping policies. Based on this, we bring forward some suggestions for Chinese firms to cope with EU anti-dumping. We get the following vital conclusions: when Chinese firms anticipate AD measures from EU, they should reduce export in the investigation...
The method of solving problem about design pattern is introduced and a brief description of the self-service terminals test system's structure and main function are descript in this paper. On this basis, through UML class diagrams, some examples about the application of the design pattern are discussed in detail, which is help for extending the system and enhancing the reusability and flexibility...
As the next generation Web technology, semantic Web can improve the automatic information processing capacity. By introducing supply chain ontology and integrating Web service with semantic Web, the semantic Web services realize the description and interaction of Web services on the semantic level. Proposed approach makes the supply chain implement the complex business process dynamic composition...
The main information retrieval and information noise elimination were the essential technology for data mining. The multiple correlation among multi-index was one of the main reasons for difficult to determine independent variables set in a data mining regression. The paper introduced a new iterative dimensionality reduction method based on partial least-squares regression. Most of the independent...
A new method of optimized path planning about smart card based on Dijkstra algorithm is proposed in this paper, for the path planning problem of China road charges. The IC Card Key Infrastructure and CRC check code technology of city uni-card system are combined in the algorithm, and the division with the shortest path using the minimum rate of fees is formed based on the recursive optimized and improved...
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