By Sheng-Hui Chien, Cheng-Seen Ho (auth.), Dehuai Zeng (eds.)
With luck of ICEEE 2010 in Wuhan, China, and December four to five, 2010, the second one overseas convention of electric and Electronics Engineering (ICEEE 2011) should be held in Macau, China, and December 1 to two, 2011. ICEEE is an annual convention to name jointly researchers, engineers, academicians in addition to commercial pros from around the globe to provide their learn effects and improvement actions in electric and Electronics Engineering in addition to desktop technological know-how and know-how, verbal exchange expertise, man made Intelligence, details expertise, etc.
This 12 months ICEEE is subsidized through foreign business Electronics heart, Hong Kong. And in accordance with the deserved recognition, greater than 750 papers were submitted to ICEEE 2011, from which approximately ninety four prime quality unique papers were chosen for the convention presentation and inclusion within the “Advanced laptop, conversation, and keep an eye on” booklet in response to the referees’ reviews from peer-refereed. the entire papers might be released through Lecture Notes in electric Engineering (ISSN: 1876-1100), and may be incorporated in Springer hyperlink.
We count on that the complicated machine, conversation, and keep watch over booklet may be a set off for additional comparable study and know-how advancements within the significance topic together with sign Processing, Retrieval and Multimedia, man made Intelligence, Computing and clever platforms, desktop studying, Biometric and Biomedical purposes, Neural Networks, wisdom Discovery and information Mining, Knowledge-based platforms, regulate platforms, Modeling and Simulation options, instant Communications, Advances in instant Video, etc.
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In connection with the problem of lack of an effective method for vibration fault diagnose of aero-engine during the testing process in test cell, this paper proposed a classification method for aero-engine’s different types of fault modes based on a time series autoregressive (AR) model and support vector machine (SVM) classifier. First, respectively collect 200 kinds of vibration signals in normal state and three kinds of fault state from the engine test cell. Establish AR model for the training set of aero-engine vibration signals through the autocorrelation algorithm, then obtained by the feature vectors consist of autoregressive parameters and residual variance.
This paper analyzed the dynamic characteristic of high-speed precision gear test stand box. According to the required parameters to establish the three-dimensional solid model of various components, using the virtual prototype simulation technology to verify the mutual movement of each constituent part, then using the dynamic excitation method to process modal analysis on the vibration characteristic of key components, solving the dynamic load factor, analyzing the dynamic load curve under the conditions of different speeds, the results proved that the elastic deformation and stress value of test stand box are within the allowable range under the action of test load, the box’s natural frequency was much larger than the frequency range when resonated with the revolving shaft of text stand.
Section 2 gives a brief description of F-M algorithm. Section 3 describes the limitation of original F-M and proposed twolevel clustering approach. Section 4 describes a benchmark circuit used in the experiments and presents its results of parallel simulation. Section 5 is the conclusion. 2 Related Work In related publications circuits are often modeled by a hyper graph(Ve, E’) with nodes Ve representing the devices and hyper edges E’ representing wires respectively, so the circuit partitioning problem can be easily modeled by the graph partitioning problem.