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With the informationization of mechanical devices, high precision sensors have been widely applied to all kinds of mechanical devices for the information gathering. However, as the sensors are produced by various research centers and manufacturers, there is a considerable difficulty in examining and identifying the sensors. In this article, A new intelligent analysis model based on BP+GA algorithms...
JZQ250 gear box is studied in order to make real-time monitoring and fault diagnostics for the gearbox in engineering. With dynamic maximum speed limit set in particle swarm optimization (PSO), a method of diagnosing the gearbox's fault, i.e., the adaptive collaborative weighted velocity PSO (WVPSO) is suggested to train BP neural network. The fault diagnosis is made with the monitoring characteristic...
Based on neural network, this work is to investigate one control technique of micro hard disk dual-stage servo systems, due to the difficulty that single-stage control techniques suppress noisy disturbance hardly. Firstly, the models of the voice coil motor and micro-actuator are identified by means of BP network and Elman network, respectively; secondly, the controllers of these two models are designed...
In order to overcome the problems of slow rate of convergence and falling easily into local minimum in BP algorithm, this paper introduces the adaptive particle swarm optimization algorithm and combining model. The paper applies it to steam turbine-generators fault diagnosis. The experiment data shows that the algorithm converges quickly and recognizes faults efficiently; it has a reference value...
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