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In this paper, the incipient fault diagnosis problem is studied for traction motor sensor fault. The data used for the fault diagnosis is from sensors of the closed-loop traction motor system, in which the deviations between normal and bias faulty data are of 1 %∼5 % and between normal and gain faulty data are of 1%∼10%. Considering the non-stationary of the data, the Ensemble Empirical Mode Decomposition...
Aiming at the principles of determining testability interface signal, methods and procedures, and the paper puts forward the conception of equipment testability interface and testability interface signal. This will lay a foundation for the systemic studies of laws of change of each key component status of equipment and fault diagnosis as well as offer the theoretical basis and references for the research...
The concept of relative decision is put forward and the method for finding absolute reduction decision rule through combining rules of relative decisional condition sets is given in this paper. In the process of decision table reduction, the relative Discernibility Matrix between decision categories should be created in order to decide the relative decision conditions which are conjoined to find the...
Focusing on fault diagnosis extraction of gearbox, a novel approach is proposed according to the signal characteristics based on the adaptive morphological filter. Traditional linear filters have some limitations when extracting nonlinear features. As a nonlinear analysis method, the morphological filter has better performance on detail reservation and noise reduction, and can describe nonlinear morphological...
Fault diagnosis for wireless mesh network is an active field in recent years, and also the decision tree algorithm is widely used in Data Mining field. How to apply machine learning algorithm in network fault diagnosis presents challenge. This paper proposes a rule post-pruning method named as W-C4.5-RP which is based on traditional C4.5 algorithm. In order to verify the validation of the algorithm,...
In order to solve the problem of feature extraction in the gear fault pattern recognition, a method of feature extraction based on atomic decomposition was proposed. Signals are rapidly decomposed using matching pursuit with the constructed Gabor dictionary. The frequency parameters and respective correlation values of the selected atoms constitute the feature vector of signal. Binary Tree Support...
Currently, condition-based maintenance becomes more and more important with the addition of factory automation through the development of new technologies. For many complicated machines, it is difficult to use the mathematical model to describe their faults. Intelligent maintenance makes it possible to perform maintenance similar to that of a human being. Support vector machine (SVM) has become famous...
Based on analyzing the four kinds of faults (over-load, short-circuit, open-phase and electrical leakage) with their characteristics and studying protection principle of mineral motor, the design scheme of intelligent and synthetic protection device using DSP as the chief chip is presented. According to the requirements of system operation, hardware circuits including leakage protection and voltage...
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