The fault parameters of ball mill was unnoticed among large amount of data, According to the phenomenon, it put forward a fault diagnosis method of rough set to optimize neural network, and by using width algorithm, so that the fault sample set of ball mill had been processed with the discrete way. Firstly, it builded a diagnosis model of rough set-neural network, the diagnosis model had practi...

Fault trees show which joint components' faults mean system faults. Fault trees can often be used to determine dependability parameters of systems. Here it is shown that i) binary decision diagrams (BDDs) can also be used to calculate system mean failure frequency, ii) modeling dynamics of fault trees does not always mean Markov modeling, iii) a deeper understanding of interrelations between s-...

The reliability of battery fault diagnosis depends on an accurate estimation of the state of charge and battery characterizing parameters. This paper presents a fault diagnosis method based on an adaptive unscented Kalman filter to diagnose the parameter bias faults for a Li-ion battery in real time. The first-order equivalent circuit model and relationship between the open circuit voltage and ...

This investigation deals with a mathematical model for a distribution transformer including saturation effect. To this end, the equations related to a three phase transformer are specified and the effect of an inter-turn fault is included. Naturally by applying an inter-turn fault the inductance and resistance matrix will change. Thus, unknown quantities of inductances and resistances for compl...

For failure prediction and information interaction problems of multi-equipment health management, fault prediction technology of multi-equipment and multi-parameter was proposed based on the system network. The state judgment and fault diagnosis algorithm is adopted by SOM self-organizing feature map neural network, the network parameters and node structure are changed adaptively, and the real-...

This paper deals with actuator fault estimation for a class of discrete-time Linear Parameter-Varying (LPV) descriptor systems. By considering the fault as an auxiliary state vector, an augmented system is established. Then, a fault estimation observer is designed based on the augmented system. In this paper, the fault estimation observer design is formulated as a Linear Matrix Inequality (LMI)...

in this paper, in order to increase the efficiency, to reduce the cost and to prevent the failures of wind turbines, which lead to an extensive break down, a robust fault diagnosis system is proposed for v47/660kw wind turbine operated in manjil wind farm, gilan province, iran. according to the acquired data from iran wind turbine industry, common faults of the wind turbine such as sensor fault...

This paper proposes a new fault model and its modeling and analysis methods in a clockless asynchronous wave pipeline for extensive yield evaluation and assurance. It is highly desirable to have an adequate and specific pulse fault rate model for establishing a sound theoretical foundation for clockless wave pipeline design for reliability. The pulse fault model is thoroughly identified as the ...

We simulated dynamic rupture propagation along various nonplanar fault models of the 1999 İzmit, Turkey, earthquake using a boundary integral equation method. These models were inferred from geological and geodetic observations. Based on these results, we modeled seismic-wave propagation around the fault system using a finite difference method. We focused on the effect of different fault geomet...