The high costs for the management of the modern and complex industrial control systems make it necessary to enhance the current maintenance processes. Therefore, the need arises to clearly define the goals of the maintenance, in order to evolve and continuously enhance the management methods, to efficiently integrate the maintenance activities with the ones related to the production, the servic...

The KC-46A Pegasus, a Boeing 767 (B767) commercial derivative aircraft (CDA), is key part of the United States Air Force’s (USAF) efforts to modernize their aging tanker fleet. Department Defense (DoD) and USAF have heavily emphasized desire need for Condition-Based Maintenance Plus (CBM+) improve maintenance programs such as KC-46A. This study reviews existing CBM+ practices on B767 related fl...

The aim of this paper is to propose an adequate condition-based maintenance policy to a gradually deteriorating system using on-line detection algorithms. The originality of this work is due to the fact that the parameters defining the deterioration mode can be unknown. The main purpose is to estimate these unknown parameters in order to propose an adoptive condition based maintenance policy an...

Condition Monitoring is an advanced and very useful tool of predictive maintenance techniques. It has made good progress in recent years in identifying many types of deterioration in plant machinery, so that pro-active maintenance can be performed, improving overall plant productivity. There is a wide variety of condition monitoring techniques currently in use for the diagnosis and prediction o...

In this paper, an artificial neural network simulator is employed to carry out diagnosis and prognosis on electric motor as rotating machinery based on predictive maintenance. Vibration data of the primary failed motor including unbalance, misalignment and bearing fault were collected for training the neural network. Neural network training was performed for a variety of inputs and the motor co...

Condition monitoring of induction motors is a fast emerging technology in the field of electrical equipment maintenance and has attracted more and more attention worldwide as the number of unexpected failure of a critical system can be avoided. Keeping this in mind a bearing fault detection scheme of three-phase inductionmotor has been attempted. In the present study, Support VectorMachine (SVM...