REAL TIME MACHINERY SAFETY MONITORING BY HYBRID FUZZY SYSTEM

Communication

Abstract

Rotary machineries are basic components used in many industrial applications. A simple examples uses these machines are simple electric fans while complicated uses these devices included in missile and aircrafts.
The aim of this research is to develop an Intelligent Neuro-Fuzzy control algorithm to guide and control accurately these rotating devices so that it will detect precisely the faulty components during the operation or in both preventive and corrective maintenance procedures. This online intelligent monitoring algorithm classifies status of the device into three indicators :(Safe, Possibly damaged or Damaged). The processes of classification consider all input variables with high effectiveness on diagnostic output state. The contribution of this paper is to introduce novel intelligent monitoring and controlling algorithm that uses (Two) predicted indices instead of one as in the previous research articles