Development of a Predictive Maintenance Model Using Modified FMEA Approach

Predictive Maintenance (PdM) is the catchword in the present times. Companies are adopting PdM to obtain competitive advantage as there are many benefits associated with it. In addition to the benefits, PdM however has two major drawbacks: first, it requires costly advanced monitoring and data processing technologies; and second, there is no statistical model on which PdM can be based, making PdM inaccessible to small and medium-scale organizations. This paper makes an attempt to develop a PdM model to minimize the use of technologies, and hence extends the application of PdM to small and medium-scale organizations. Here a new method, modified Failure Mode and Effects Analysis (FMEA), has been developed from FMEA technique, where the output of the system is used as an indicator for predicting maintenance times. The developed model is validated on a palm oil extraction unit