The use of generic hardware enables us to base design of new condition monitoring systems on software development. In this thesis, the rotational machine condition monitoring system based on the former concept is described. At the beginning of the thesis, the overview of the importance of the machine condition monitoring systems in the prediction maintenance of the industrial equipment is given. Additionally, the features of the present machine condition monitoring systems are analyzed. Gathered knowledge is then exploited in the phase of system design. System design phase resulted in conceptual structure of the new machine condition monitoring system. In the given structure, unit for signal acquisition and data processing is recognized as the key part of the system. Description of the selection process of the software and hardware platform for the processing unit, along with the overview of the measurement sensors used for rotational machine condition monitoring, is given. The conceptual solution and the final configuration of the main program for the processing unit are given, along with the description of embedded algorithms distinctive for the machine condition monitoring systems. Short description of the system user face and available graphical displays for information presentation is given. For the description of the user face graphical displays, the measured values obtained by the processing unit during measurements on the synchronous generator in the power plant are used. Measurement results are used to show the obtained functionality of the produced machine condition monitoring system.