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Rolling bearing's running state has an important influence on the health condition of rotate machinery. This work focuses on the remaining useful life prediction of the rolling bearing. An auxiliary particle filter-based predictor for rolling bearing is presented. The energy spectrum feature of vibration signal is selected as the representation of system degraded states. The wavelet packet decomposition...
Despite the overwhelming success of deep learning in various speech processing tasks, the problem of separating simultaneous speakers in a mixture remains challenging. Two major difficulties in such systems are the arbitrary source permutation and unknown number of sources in the mixture. We propose a novel deep learning framework for single channel speech separation by creating attractor points in...
Efficiency of parallel computation is always a fundamental research field in high performance computing. A study was carried out in this paper by combining the high performance parallel computing with numerical simulations of copper flash smelting furnace, to investigate influences of various factors upon the computing speed, such as the mesh types, the number of grid and CPU cores. It aims to provide...
In mobile satellite service (MSS) system, channel using efficiency is still an important factor because the system's frequency reuse factor can't reach 1 exactly. Here we try to introduce channel borrowing technique into MSS system. In channel borrowing technique, if channels in adjacent cells are allocated, these channels can't be borrowed. Therefore, in high spectrum reuse scenario, this may result...
Channel prediction, which predicts a future channel gain based on current and past observations, is very useful for power control and resource optimization in wireless communication systems. However, a low-complexity predictor with trustworthy prediction accuracy is yet to be developed. This paper proposes a linear predictor and two linear Markov predictors, which achieve a good balance between complexity...
Some problems, such as high energy consumption, short life and high frequency maintenance, exist in reverberatory furnace which is the key equipment for production of reclaimed copper. Measurement data for energy balance indicate the major reasons are incomplete combustion and too high temperature at some location. In this paper, the coupling numerical simulation on fluid flow, heat transfer and combustion...
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