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With the rapid development of sensor technology on vehicles, more and more vehicles are checked from artificial detection to auto monitoring. A great number of real-time data acquired from sensors provides important foundation for PHM application on vehicles. Aiming at the special mining vehicle, it proposes the solution for real-time monitoring, fault diagnosis and health management based on the...
Railway axles are very common structures and the most important components used in high-speed transport fields, such as high-speed railway and subway. However, as parts of vehicles run during the serving time, the biggest failure mostly comes from axles. For this reason, it is of vital importance to detect the original cracks existing in railway axles and to recognize the damage severity or activeness...
In view of the application scenarios and demand of mechanical equipment pump truck, design a pump truck MRO system based on the Internet of Things and Cloud Computing, and the overall structure, General structure are given, and the system function is designed. Using the system, the functions can be realized, such as pump truck remote data acquisition, diagnosis processing and production management.
The formation of nitrogen oxides (NOx) associated with coal combustion systems is a significant pollutant source in the environment, and the monitoring of NOx emissions is an indispensable process for combustion optimization so as to control NOx emissions. In this paper, a hybrid model combining support vector regression (SVR) and kernel principal component (KPCA), named KPCA-SVR, was presented to...
Maximizing the lifetime of wireless sensor networks (WSNs) is a challenging problem. Although some methods exist to address the problem in homogeneous WSNs, research on this problem in heterogeneous WSNs have progressed at a slow pace. Inspired by the promising performance of ant colony optimization (ACO) to solve combinatorial problems, this paper proposes an ACO-based approach that can maximize...
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