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A method based on the neural network to predict the strains of the gas generator in a liquid rocket engine is presented for the fault analysis of the gas generator. A modified back-propagation algorithm is proposed to train the neural network. The training and testing samples are generated with an experiment. In the experiment, four strains in the risk domain of the gas generator and three forced...
With the improvement of automobile electric degree, more and more people begin to pay attention to the fault diagnosis method and theories of electric controlled system. The precision and accuracy of on-board diagnosis methods, which with OBDII standard and has been widely used at present need to be further improvement. So, in this paper, take the engine idling instability as the example, put forward...
With the rapid development of automobile electronics level, the mechatronics of automobile product becomes more and more obviously. When we try our best to improve function of automobile by electronic controlled system, the difficulty of failure diagnosis is increasing too. In order to improve the maintenance quality and efficiency, automobile manufacturer and maintenance server have established the...
This paper presents a new method using principal component analysis (PCA) to eliminate data redundancy in loudspeaker fault detection. It uses wavelet packet transformation (WPT) to decompose the loudspeaker acoustics signal into 32 packet node signals. Then, get the mean, max, standard deviation and correlation coefficient of every node envelopment .With the way of observing, it gets 63 coefficients...
This paper proposed a method of geometrical learning (GL) for identifying mechanical fault patterns and its grades. The method aimed at optimal covering for each class, and constructed some complicated geometry bodies (CGBs) to cover one class samples distributing in the feature space approximately. The rolling bearing was studied by GL-based method in this paper, firstly, energy spectrum was extracted...
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