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A control method for multi-input multi-output non-Gaussian random vibration test based on an improved zero-memory nonlinear transformation and an inverse system method is proposed. Compared with the classic zero-memory nonlinear transformation method, the improved one can overcome the defect of the dynamic range loss. The inverse system method is put forward in order to control the kurtoses and the spectra for multi-input multi-output non-Gaussian random vibration test simultaneously. The main idea of inverse system method is to generate the Gaussian reference response signals first from the reference spectra, and the improved zero-memory nonlinear transformation method is utilized to obtain the non-Gaussian reference response signals with the reference kurtoses, then the continuous and stationary coupled driving signals can be derived from the relationship between the inputs and outputs of the test system. Thus, the difficulty in generation of driving signals in multi-input multi-output non-Gaussian random vibration test can be overcome. The matrix power control algorithm is introduced for the spectrum control, and a kurtosis control algorithm is set up similarly. A simulation example and an experimental test are provided in the paper, and the results illustrate the effectiveness and feasibility of the proposed control method. Copyright © 2017 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]

In beverage bottling plants, buffering conveying systems are used to decouple the various machines. They avoid propagation of machine breakdowns along the plant by assimilating or releasing bottles or containers. Today, they are controlled in steps by mechanical jam switches. In many cases, they enable an enduring filling process, which is necessary to gain good product quality and high plant efficiency. But with longer faults, the filling process still has to stop or slow down. Additionally, today's conveyors run very noisy. This affects the operator's health and conflicts with legal regulations. This paper presents an alternative control approach for buffering conveyors. It was created to improve the buffering effect and to reduce the noise emissions of today's systems. Instead of using jam switches, it uses counting sensor systems to obtain stepless information on the bottles entering and leaving the buffering conveyor. On this basis, the first continuous control algorithm for buffering conveyors was developed. It was described mathematically for all possible buffer situations. It was programmed and implemented in an industrial scale pilot plant. Finally, experiments in comparison with the commonly used jam switch control were carried out for all relevant settings. The practical experiments showed a stable behaviour of the new control algorithm. It reacted appropriately to state changes. Readjustment times and an almost minimal dead time (shortest transportation time of bottles) proved a high buffering effect. Above all, the new control algorithm resulted in a clearly audible and measureable reduction of the noise level. Copyright © 2012 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]

Leveraging the gold of the 21st century to address your needs [ABSTRACT FROM AUTHOR]