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During these years, the accident of grounding grid equipment occurs more frequently in the substation, which has been one of the most serious threat to safety and stability of power system. Traditional detection method is blind, slowly and uneconomical to find the erosion point. This paper provides an method based on the analysis of testability in topology of substation grounding grid. Through the...
In the wireless sensor network (WSN), the operation reliability is usually evaluated by processing measured datas at network nodes. As the traditional algorithms exist the problems of the complex calculation and large energy consumption, a method for fault diagnosis of nodes in WSN based on rough set theory (RS) and support vector machine (SVM) is proposed in this paper. In this paper, we collect...
In order to improve the efficiency of the Radar circuit maintenance, in this paper, based on PXI & GPIB Hybrid Bus and virtual instrument technology, a fault diagnosis platform for Radar circuit is developed, and also a fuzzy fault tree reasoning algorithm is presented. This platform is composed of two parts: hardware and software. The hardware consists of a built-in controller and 3 kind of virtual...
In order to improve the ability of fault prognostic and the efficiency of fault diagnosis for certain AEW (airborne early warning) radar, in this paper, an APSO-LSSVM (adaptive particle swarm optimization- least squares support vector machine) fault prognostic algorithm and a fuzzy reasoning algorithm are presented, and an expert knowledge database is constructed too. Based on the APSO-LSSVM fault...
As we all know, GPS cannot totally meet the need of safety-of-life applications in civilian aviation especially the vertical accuracy and integrity. It is widely accepted that integrating GPS with barometric altimeter (Baro) can improve geometry and consequently provide performance enhancement especially in the vertical direction. This paper presents a novel data fusion algorithm of Baro and GPS based...
In response to the roller bearing fault of the engineering vehicle, the excellent characteristics of time-frequency of wavelet packet is used to decompose the fault signal. Then we extract the necessary of the fault signals. Finally, we carry out the recognition of fault types using multi-class support vector machine and dynamic clustering algorithm brought forward in the paper. It is such a algorithm...
The paper presents a Bayesian networks (BN) based method to analyze the reliability of phased-mission systems (PMS). The method includes three steps. Firstly, each phase of PMS is represented by a BN framework, named phase-BN. Then, in order to express the dependences across phases, all the phase-BN are combined by (1) connecting the root nodes that represent the same component but belong to different...
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