This article focuses on a new methodology based on fuzzy logic to predict the maintenance of wind farms. In wind systems, Vibrations present the main cause of the occurrence of failures. The prediction of these failures can be ensured by correct processing of the set of vibration signals collected by the Condition Monitoring System (CMS) and declaration of the appropriate maintenance action by the connected management system SCADA (Supervisory Control And Data Acquisition). In this paper, fuzzy logic is used as a new approach to processing vibration signals by exploiting their features for the generation of probabilities of occurrence of failures. The probabilities generated correspond to alarms (Green, Orange and Red) and the alarms correspond to maintenance actions to be applied.

To fulfill the current requirements of Atomic Energy Center, Dhaka considering its smooth operation of high speed internet service, optical fiber based network is the state-of-the-art network solution. An optical fiber network design refers to the specialized processes leading to a successful installation and operation of a fiber optic network which includes determining the type of communication system(s) which will be carried over the network, the geographic layout, the transmission equipment required and the fiber network over which it will operate. Atomic Energy Centre, Dhaka (AECD), considered as the pioneer institution of the Bangladesh Atomic Energy Commission (BAEC) is now one of its research establishments located at the core of Dhaka city was established in 1961 to carry out research and development activities in the field of Nuclear science and technology for peaceful purposes. For that, here internet is essential. So optical fiber network design and deployment at Atomic Energy center is very important.