The energy router composed of double active bridge (DAB) can interconnect multiple voltage level AC distribution network through DC lines to form AC/DC hybrid network. fault types the system are diverse and characteristics complex. This paper studies in detail. single-phase grounding side valve occurred system. explored impact after above failure, make a detailed comparative analysis. results s...

Fault diagnosis for numerical control machine is more difficult than that for other mechanical equipments due to its structural complexity and the coupling feature among different faults. In order to improve the accuracy and reliability of fault diagnosis for numerical control machine, an intelligent fault diagnosis model is studied. Besides the traditional method that multiple sensors are moun...

Bearing failure is one of the dominant causes of failure and breakdowns in rotating machinery, leading to huge economic loss. Aiming at the nonstationary and nonlinear characteristics of bearing vibration signals as well as the complexity of condition-indicating information distribution in the signals, a novel rolling element bearing fault diagnosis method based on multifractal theory and gray ...

In a recent article, Wesnousky (1994) (henceforth referred to as Wesnousky) analyzes seismicity and geologic deformation rates for five faults in southern California and arrives at the conclusion that the characteristic model yields a better description of the earthquake size statistical distribution than the Gutenberg-Richter (G-R) magnitude-frequency law. To analyze earthquake occurrences in ...

Electromechanical actuators (EMAs), as the critical actuator system of next-generation aircraft, have attracted attention many institutions and enterprises around world. However, due to harsh working conditions, their reliability cannot satisfy requirements widespread application in aircraft. Therefore, order conduct fault diagnosis on EMAs, this paper, we establish a comprehensive dynamic mode...

In the fault diagnosis of the motor, the vibration signals can fully reflect the status of the motor. In this paper, on the basis of wavelet packet fault feature extraction, a new approach for motor fault diagnosis based on wavelet packet analysis and fuzzy RBF neural network was presented.The method gains the energy of characteristic channel of bearing failure vibration signals of asynchronous...