Nowadays each person linked one way or another to maintenance has to be confronted to contradicting objectives:
1. Decrease maintenance costs
2. Increase equipment availability
In order to meet this challenge, an efficient work schedule is required. Only predictive maintenance allows avoiding unnecessary interventions and their related costs. This schedule requires detecting emerging defects, and therefore more advanced technologies are needed. In order to schedule maintenance actions, an equipment monitoring schedule should be set up. Thanks to actual technical developments like Wi-care wireless vibration and temperature system, bearing defects on classic equipment can be detected with certainty until 6 months before it reaches a risk level of shutdown.
The following case study describes and explains a real case of remote bearing fault detection. The continuous surveillance was set up in a very effective way for the customer and analyst allowing us to detect in time this sudden high bearing faulanalyst
Equipment, plant overview, Context
The Refinery is operating 24 Hours 7 days a week, established in a country 5 thousand miles away from headquarter and diagnosis team. The Equipment is a classical centrifugal pump at the oil tank farm. Wi-care sensors are installed on the pump bearing housing. Customer wants to improve its predictive strategy on the critical pumps located far away from pure production equipment.
Analyst diagnosis and spectrum justification:
We detect noise and bearing fault frequencies on the drive side of the pump. We observed high vibration come from a bearing fault (BSF) on the drive side of the pump. The vibration amplitudes have increased in a short period. An action is required.
We observed a hydraulic frequency on the drive side of the pump. The vibration amplitude is acceptable.
Actions and delays.
1) Replacing pump bearings within 5 days
2) Collecting the old bearings for RCFA;
3) Measuring the equipment again after the replacement