Earticle

Spectral analysis of the vibration signals of industrial steam turbines provides efficient reference for the characterization and discrimination of turbine faults. Conventional power spectrum estimation methods often exhibit contradiction between variance performance and resolution, leading to poor estimation results. In this study, we investigated Levision-Durbin recursive algorithm, Burg algorithm and periodogram power spectrum estimation algorithm, and also chose Akalke Information Criterion (AIC) to identify the optimal order p. Based on MATLAB, we wrote a simulation program for Autoregressive (AR) spectrum estimation algorithm and designed a graphic user interface, formulating the AR spectrum estimation algorithm program for vibration signals of industrial steam turbines. After field measurement of a steam turbine with sampling number of 400 and frequency of 256Hz, as well as order of 10 and 80, simulation was performed. It was demonstrated that AIC provides efficient reference for the identification of proper order. With the optimal order, AR spectrum estimation algorithm produces good variance performance and resolution, providing reference for the spectral analysis of vibration signals of industrial steam turbines.

All Electric Ship Power System (AESPS) is constituted by the core power plant system with marine generators and large power propulsion motors, and by the electrical apparatus, which is set up for providing energy for other parts of ship and transmission. Effective fault diagnosis of AESPS is the technical prerequisite to drive electric ship safely and to avoid accidents. In this paper, we used the wavelet packet transform (WPT) to separate signal from noise, and extracted the fault feature information submerged in the noise. After that, we used the Ensemble Empirical Mode Decomposition (EEMD) to analyze the reconstructed signal to get several intrinsic mode functions (IMF). Finally, we obtained the marginal spectrum through the Hilbert-Huang transform (HHT). Theoretical and experimental study results show in the end: the marginal spectrum, with WPT-EEMD method, underlines the fault feature information of power system, which is an effective way to diagnose the fault type.

The Smart Grid, observed as the next generation power grid, uses two-way flows of electricity and information to construct a widely distributed automated energy delivery network. We investigate three major systems, explicitly the smart infrastructure system, the smart management system, and the smart protection system. In this article, we concentrate on the smart information subsystem is used to prop up information generation, modeling, integration, analysis, and optimization in the circumstance of the Smart Grid. We also propose possible future guidelines in each system. Specifically, for the smart infrastructure system, we investigate the smart information subsystem and the smart communication subsystem. We finally outline some prospect research directions and challenges.

Research on the retrieval with time limitation in distributed retrieval, the optimal resource description and selection strategy is proposed with the SVM method combing the retrieval method based on topic clustering. Pre-treatment text database is treated by practicing the SVM method. The classification and discrimination function of different text can be drawn. The resource description of every database is established in this paper. Then to classify the information with the sentence sequences function and optimize the distribution of time retrieval. This system is proved to have excellent performance of classifying and retrieval.

The concept of remote control comes from the inter-operation among the computers; whereas in the field of industrial control, the remote control can function on the workshop directly through the computer, to realize the monitoring over the production environment and the operation on the mechanical equipment. The virtual reality technology can vividly simulate the on-site situation in the digital form, thus brings a truer operating experience for the manager. And the data interchange between the virtual reality and the true site can be well resolved by the sensor.