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Operating condition recognition of a ball mill is an important part in grinding process. The load status can only be determined according to expert's experiences. If common operating conditions (such as under-load, best-load, and over-load) are not monitored and handled promptly and accurately, the quality of the grinding product may deteriorate or even the grinding production may come to a stop....
Due to the lack of widely stable and reliable water quality parameters on-line instrumentation, it is difficult to implement closed-loop control of water quality and optimize the operation for wastewater treatment plant. In this paper, a nonlinear dynamic soft-sensing multi-model based on PLS is proposed to solve the problem of multi-variable, non-linear and time-varying uncertainty in wastewater...
Ball mill load measurement is essential to control and operational optimization for the wet grinding process, which affects the production efficiency and energy consumption. A frequency spectral information fusion soft sensor model is proposed to estimation the mill load in the paper. PCA is used to extract the feature of frequency spectrum to deal with many, noise and collinear variables. FFT is...
Mill load (ML) is a key parameter of grinding process, and whether the state of ML (low load, optimal load, over load) and the operate parameters (pulp density, material to ball mass ratio, load volume charge ratio) can be accurate identified affects the quality&quantity of the production and safety of the devices. In practice, the state of ML is monitored by the experience of the operator, and...
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