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The system realized location tracking, communication scheduling, stops broadcasting, video monitoring, and intelligent passenger counting of public transport vehicles.
Ongoing interest in oxide semiconductor as components of gas sensing devices is motivated by environmental monitoring and intelligent control.
This experiment system is composed of primary and auxiliary boxes, power transmission system, mining system, loading system, gas charging system, data monitoring and intelligent acquisition system.
The selection of most sensitive sensors and signal processing methods is essential process for the design of condition monitoring and intelligent fault diagnosis and prognostic systems.
Besides, it designs the main platform functions and explores key technologies such as the information fusion mechanism, real-time monitoring with GIS technology, equipment alarm monitoring and intelligent emergency decision.
Fiber Bragg grating (FBG) with advantages of reliability, durability and high accuracy, has become one of the most popular sensing element for structural health monitoring and intelligent materials system.
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At the same time, structural health monitoring, technology and intelligent integrated systems created a need for wireless sensors in hard to reach places in aerospace vehicles and large civil engineering structures.
Through self-inspection of embedded mobile devices of short circuit and earth fault statistics, and the fault information to share with neighbors mobile equipment, working state is obtained by formula (3) value, thus for grid management provides the basis for transformer monitoring network and intelligent operation.
This paper presents a novel method to diagnose transformer fault making comprehensive use of extension theory and multivariate optimization of fusion theory, which can effectively and intelligently diagnose transformer fault types, providing more convenience for the workers on remote monitoring and improving the intelligent degree of the fault diagnosis.
Such systems have advantages over conventional vision systems in applications of community monitoring, robot vision system and intelligent vehicle, etc.
The novel framework consists of four modules: data acquisition system, cutting tool monitoring, surface roughness prediction and intelligent planning.
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