Abstract: A novel bearing vibration signal fault feature extraction and recognition method based on the improved local mean decomposition (LMD), permutation entropy (PE) and the optimized K-means clustering algorithm is put forward in this paper. The improved LMD is proposed based on the self-similarity of roller bearing vibration signal extending the right and left side of the original signal ...

Fault detection approach based on principal component analysis (PCA) may perform not well when the process is time-varying, because it can cause unfavorable influence on feature extraction. To solve this problem, a modified PCA which considering variance maximization is proposed, referred to as weighted PCA (WPCA). WPCA can obtain the slow features information of observed data in time-varying s...

References 1] M. Abramovici and P. R. Menon. A practical approach to fault simulation and test generation for bridging faults. IEEE Transactions on Computers , C-34:658{663, 1985. 2] J. M. Acken and S. D. Millman. Accurate mod-eling and simulation of bridging faults. In Pro-Campbell. Double-bridge test structure for the evaluation of type, size and density of spot defects. foreach feedback brid...

Electric motors used for traction purposes in electric vehicles (EVs) must meet several requirements, including high efficiency, high power density and faulttolerance. Among them, permanent magnet synchronous motors (PMSMs) highlight. Especially, five-phase axial flux permanent magnet (AFPM) synchronous motors are particularly suitable for in-wheel applications with enhanced fault-tolerant capa...

The use of fault-tolerance structures in multiple processors systems due to the fact that it is almost impossible to manufacture integrated circuits without any defect in nanometer technologies [1]. As a result, the use of fault tolerant methods is crucial to allow that circuits with some amount of defects still reach the market, increasing yield and the lifetime of a chip. A classical example ...

considering recent developments in earthquake engineering, researchers has detected different effects of earthquakes far and near from the fault. investigations that have been done in this area show that near fault earthquakes have shorter time period comparing far fault earthquakes and in the velocity of near fault earthquakes, there are one or more impacting pulses with a big domain and perio...

One of the most important parameters that control reliability growth is the fault exposure ratio (FER) identi ed by Musa et al. It represents the average detectability of the faults in software. Other parameters that control reliability growth are software size and execution speed of the processor which are both easily evaluated. The fault exposure ratio thus presents a key challenge in our que...

Fault detection and failure prediction for nonlinear non-Gaussian systems is an important issue both from the economic and safety point of view. Most of the fault detection techniques assume the system model to be linear and the noise to be Gaussian. These linearization assumptions tend to suffer form poor detection and imprecise prediction. Also, they may lead to false alarms which would incur...

The reliability of Very Large Scale Integration (VLSI) circuits has become increasingly susceptible to transient faults induced by environmental noise with the scaling of technology. Some commonly used fault tolerance strategies require statistical methods to accurately estimate the fault rate in different parts of the logic circuit, and Monte Carlo (MC) simulation is often applied to complete ...