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 order to meet the needs of safety, durability and reliability for the battery management system, the data monitoring and diagnosis for the battery management system platform is researched and developed. The platform based on the CAN bus technology, in the VC++6.0 development environment, implement the battery management system running state monitoring, fault diagnosis, parameter configuration,...
In order to solve the problem that the accuracy of flaws identification in ultrasonic testing is not high enough due to the error in sensor information acquisition and the noise interference in the detection environment, a method of flaws identification in ultrasonic testing based on evidential reasoning rule (ER rule) is studied. Firstly, ER rule is proposed to consider the reliability and weights...
A novel signal processing method, called sensitive frequency band (SFB) selection, is proposed based on the correlation coefficients between the original signal and its reconstructed approximation and detail parts. By identifying the noised-related and fault-related SFBs, the SFB selection method can be used to reduce noise and extract fault feature effectively for a signal. This method is applied...
Helicopter can be used to detect and identify a variety of power equipments along the transmission lines, and diagnose the fault types of equipments. This paper presents a method based on Adaboost for vibration damper recognition of transmission system. Adaboost classifier is an accurate learner. Strong classifiers, which are composed of a group of weak classifiers by certain rules, can build up a...
Although traditional waveform analysis in time domain plays an important role in realizing engine non-disintegration fault diagnosis, this method fails to make an accurate fault diagnosis when fault waveform and normal waveform are very close. To solve this problem, a new method based on frequency space subdivision (FSS) in wavelet transform (WT) is proposed and applied in this paper. Meanwhile, a...
Using the biological immunology principle unifies the neural network and the immunity algorithm to form the immunity neural network, which is applied to electro-hydraulic servo valve breakdown diagnosis. The result indicated that, the immunity neural network can identify many kinds of failures pattern recognition accurately by the smaller network scale, and has the high efficiency, good fault-tolerant...
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.