The dynamic behavior of rotating machinery depends on the construction and foundation of the machine and in addition of the machine running parameters. By choosing appropriate parameters it is possible to influence considerably on the vibration of the machine. By driving the machine in that kind of an advantageous running window it is possible to minimize the vibration of the machine and to improve the quality of the product, but not to lose the efficiency of the productivity. Machines where the running window is important in maximizing the quality of the product are rotating cylindrical rolls in line contact for example in paper machines and grinding machines. In that kind of machines resonance situations are the most dangerous operation situations. The on-line measurement from rotating machine components requires wireless measurement data transfer applications. Sophisticated systems for that purpose need transfer capacity of several channels and two-way communications. Two-way communications allows the control of the measurement, versatile analysis of measurement signals and the control or supervised control of the running situation of the machine. If network solutions, for example via www are used, it is possible to use remote operation monitoring and control. In this paper a supervised operation monitoring and control system of a pilot roll station at Tampere University of Technology is described. The main components of the system are measurement unit on the end flange of the rotating roll, wireless local area network for measurement data transfer from the rotating roll to the control room computer and the local area network that connects the process control and signal analysis computers together. The system contains also a WWW-based remote control system for measurement signals from the rotating rolls and for the process variables. One possibility in this kind of complicated control situation is to use the fuzzy logics principle. Fuzzy logics are principally suitable for process control when knowledge-based systems fit well in diagnostics. However, fuzzy rule-based control can be defined as a knowledge-based system. For finding out the suitable running windows in the pilot roll station a fuzzy rule-based, supervised roll rotational speed control system is used. The paper describes also the fuzzy systems and comprises preliminary experimental results.

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