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Aiming at the disadvantages of the fixed rotation angle in quantum genetic algorithm (QGA), in this paper, the particle swarm optimization (PSO) was used to update the angle of quantum rotation gate in stead of the old one that locates the angle of quantum rotation gate by a designed query table. According to the experimental results, the novel quantum genetic algorithm (NQGA) with new updating method...
In situations where the vibration sensor is not suitable to be used and while fault diagnosis method based on vibration signal processing has limitaions, KPCA fault diagnosis method based on sound signal is proposed. The basic theory of kernel principal component analysis and its basic procedures for fault detection are introduced and sound signal pre-processing is depicted, multi-domain feature vector...
This paper presents a method of squared prediction error changes based on Principal Component Analysis(PCA) of Q statistics to deal with real-time online fault detection of hydraulic pump. In this method, feature vector sample set expressed by frequency band energy information of wavelet packet decomposition is extracted by effective signal processing and feature. Then, establish main element model...
It is critical in fault diagnosis to extract the feature vector of fault signal effectively and to find the sensitive factors. Therefore, a series of vibration signals are collected at pump end cover under some faults, such as loose sliding shoe, sliding shoe wear, sloping cam plate wear plate and the center spring failure, etc. Then, low frequency signals are obtained by means of suitable signal...
In order to solve the problem that the fault characteristics of hydraulic pump have ambiguity and signal-to-noise of inspected signals is low, a new method based on characteristics of the energy spectrum of vibration signals combing rough set (RS) and principal component analysis (PCA) algorithm is proposed in this paper. This algorithm processes noise abatement for collected vibration signals by...
D-S evidence theory is an effective method of processing uncertain information. It is widely used in data fusion systems. However, there are two difficulties in the application: evidence conflict and requested computing time of Dempsterpsilas arithmetic that is power exponential increasing relation with number of data sources. Starting with the basic conception of D-S evidence theory, we generalize...
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