The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
In actual fault diagnosis, useful information is often submerged in heavy noise, and the feature information is difficult to extract. Traditional methods, such like stochastic resonance (SR), which using noise to enhance weak signals instead of suppressing noise, failed in chaotic background. Neural network, which use reference sequence to estimate and reconstruct the background noise, failed in white...
In order to solve fault diagnosis problems about process cumbersome, time-consuming, low operation efficiency due to its own characteristics of the image motion compensation circuit, the fault diagnosis system of image motion compensation circuit based on improved ant colony algorithm (ACO) and virtual instrument technology is designed. Aiming at established model after the detailed theoretical analysis,...
For the fault complexity the compensate panel used in the aerial camera, we present a fault diagnosis technique based on the FTA. Through the analysis and qualitative research of fault model camera compensation panel,we give overall program of fault diagnosis system for compensation panel of aerial camera is, and design its detailed hardware and software system. Our aim is to provide a simple, fast...
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...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.