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 the process of moisture content's measurement with microwave resonant cavity based on RBF (radial basis function) neural network, the relationship among resonant frequency, quaLity factor and environmental temperature (the inputs of network) and moisture content (the output of network) is multiple non-Linear. The performance of multiple non-Linear regression algorithm is the major factor that determines...
In this paper, the basic principle of support vector machine is introduced firstly, Then a new method to diagnosis fault for high voltage cirCuit breakers is presented based on the introduction of wavelet packet and characteristic entropy. The new method decomposes vibration signals with wavelet packet, and extracts entropy parameters from the restructured signals at the third level. Finally, the...
In this paper a new method to fault diagnosis for cirCuit breakers is presented based on the principle of wavelet packet and characteristic entropy. The method introduces the way to abstract the characteristic entropy from vibration signals of HVCB. Firstly, the vibration signal is decomposed by the three-layer wavelet packet, and eight signals of each junction at the third level are reconstructed,...
In this paper, the basic principle of support vector machine is introduced firstly, Then a new method to diagnosis fault for high voltage circuit breakers is presented based on the introduction of wavelet packet and characteristic entropy. The new method decomposes vibration signals with wavelet packet, and extracts entropy parameters from the restructured signals at the third level. Finally, the...
In this paper a new method to fault diagnosis for circuit breakers is presented based on the principle of wavelet packet and characteristic entropy. The method introduces the way to abstract the characteristic entropy from vibration signals of HVCB. Firstly, the vibration signal is decomposed by the three-layer wavelet packet, and eight signals of each junction at the third level are reconstructed,...
In the process of moisture content's measurement with microwave resonant cavity based on RBF (radial basis function) neural network, the relationship among resonant frequency, quality factor and environmental temperature (the inputs of network) and moisture content (the output of network) is multiple non-linear. The performance of multiple non-linear regression algorithm is the major factor that determines...
As an effective method for diagnosis reasoning, fuzzy reasoning is hard to meet the real-time challenge for its complex process and time-consuming. According to the principle of conventional fuzzy reasoning with software, a new method to design expert system fuzzy reasoning with CPLD for fault diagnosis is presented. In the new method, fuzzy operating is realized by function transform with ROM, and...
This paper introduces a new method to design expert system reasoning with FPGA for fault diagnosis. Firstly, detailed analysis the reasoning process of normal expert system; Secondly, the experiences and knowledge of experts are transformed to multi-valued or binary reasoning with fault tree, and the processes are realized with simple gate circuits; Lastly, the new scheme is used in fault diagnosis...
A new method of fault diagnosis based on wavelet packet and support vector machine is presented. Wavelet packet decompresses vibration signals, and wavelet packet nodes sensitive to the change of state, as eigen-nodes, form a decomposition tree; the signal restructured at all eigen-nodes can be used as the fingerprint in many breaker diagnostic systems. Support vector machine with the "most important"...
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.