Propose a fault diagnosis method which combines analytical redundancy with bond graph model for electrolytic high power rectifier system. Firstly, using the software 20-sim, the author builds a bond graph model of the system and established a diagnostic bond graph model through adding virtual sensor in bond graph model; then, according to the causal relationship in the components, analytical re...

Numerical models of earthquake rupture are used to investigate characteristic length scales and size distributions of repeated earthquakes on vertical, planar fault segments. The models are based on exact solutions of static three-dimensional (3-D) elasticity. Dynamical rupture is approximated by allowing the static stress field to expand from slip motions at a single velocity. To show how the ...

In order to improve the accuracy of the fault diagnosis of roller bearings, this paper proposes a kind of fault diagnosis algorithm based on manifold learning combined with a wavelet neural network. First, a high-dimensional feature signal set is obtained using a conventional feature extraction algorithm; second, an improved Laplacian characteristic mapping algorithm is proposed to reduce the d...

This paper presents a network theoretical approach to analog DC-fault diagnosis. The developed approach efficiently localizes the fault and identifies the corresponding fault characteristic with standard circuit simulators. Furthermore, the theoretical foundation of our method offers a deep understanding for DC-fault diagnosis and clearly shows the limits for fault diagnosis techniques.

The paper illustrates a procedure based on the continuous-wavelet transform (CWT) for the analysis of current transients due to line faults. Considering roundly reliability and accuracy of one terminal fault location system for transmission lines, a single-ended continuous wavelet Transform (CWT) based fault location algorithm has been presented in this paper. Wavelet transform is a powerful ma...

This paper presents the FTSET tool for fault tolerance evaluation and improvement of Artificial Neural Networks. Fault tolerance is a characteristic of parallel distributed systems such as neural networks. Although there is a built-in fault tolerance in neural networks, it is possible to improve this characteristic, but changing the structure of an artificial neural network to improve its fault...

Batubesi Dam which is located in Sorowako region in the middle part of Sulawesi island had been designed with seismic coefficient about 0.20g. The region constitutes an active earthquake zone with the recurrence frequency and magnitude of the earthquake are relatively high. The region is located on and active fault zone due to lateral fault movement (strike-slip) of Matano fault, Palukoro fault...

In this paper, the seismic collapse probability of special steel moment-resisting frame (SSMRF) structures under near fault pulse-like and far fault ordinary ground motions is evaluated through fragility analysis. For this purpose, five sample frames with 3 to 15 stories are designed and imposed to the ground motion excitations with different characteristics. Fragility curves are derived for th...