Detection Of A Bearing Outer Race Failure saved Downtime Cost Of $145k




Process Condensate Pump [Critical]

Fault Predicted

Bearing Outer Race Failure; Remaining Useful Life

"See how Nanoprecise helped the Indian Farmers Fertilizer Cooperative (IFFCO) to identify and fix failures in critical pumps used in the manufacturing process. We provided a predictive maintenance solution that detected faults at an early stage and offered a reliable prediction of the Remaining Useful Life of the critical pumps and prevented unplanned repairs."

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The specific placement of the RotationLF sensors are selected to monitor:

1. Non-drive side bearing, pump
2. Drive side Bearing, pump
3. Drive side bearing, electric motor

Once installed, strong battery-powered wireless sensors started monitoring pumps, motors and sent data to our SaaS-based platform through an encrypted & secured network using Edge and Cloud computing. As system received the data, our RotationLF platform performed data analysis using highly sophisticated algorithms.

Approximately one month after the sensors were installed, the system alerted IFFCO that a bearing outer race failure had been detected on the pump. The fault frequency depicted in the below plot is indicative of an early stage failure.


The RotationLF analytics sensed & detected the anomaly in the pattern and alerted the plant staff about this unusual trend automatically through mobile text and email alert. The IFFCO maintenance team used a handheld vibration meter to verify the fault detected by RotationLF, Then they partially disassembled the pump to visually confirm that the bearing was damaged. The RUL prediction of 37 days to failure provided sufficient time to schedule the pump repair during an already planned maintenance outage.

The fault frequency depicted in the plot is indicative of an early stage failure. As the damage to the bearing progresses, the amplitude increases and the RUL decreases. The decrease which is a function of the load conditions is not linear and requires constant monitoring.


Nanoprecise specializes in the implementation of Artificial Intelligence and IoT technology for predictive asset maintenance and condition monitoring. Our timely and accurate diagnosis of machine faults provides our clients insights that allow them to make decisions that will save them considerable time and resources. Nanoprecise is headquartered in Edmonton, Canada with branches in Bangalore, India; San Diego, USA, and Newcastle, UK. We have managed to establish ourselves as a trusted solution provider in the asset management industry.

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India Farmers Fertiliser Cooperative (IFFCO) is among India’s largest manufacturers of complex fertilizers (29% of national production). The Phulpur plant alone produces ammonia and urea with a throughput of approximately 1.7 million metric tons per year.


The process condensate pump, one of the critical pumps in the manufacturing process, has a history of failures every 6 to 12 months. This centrifugal pump operates at 3000 rpm with a discharge pressure of 28 MPa (400 psi). Each day this pump is online, it costs the plant as much as $145,000 in lost production and each failure costs tens of hundreds of dollars to execute an unplanned repair.

Nanoprecise Sci Corp was asked to implement a predictive maintenance solution to detect faults at an early stage and provide a reliable prediction of Remaining Useful Life (RUL).


We proposed our RotationLF system under which we installed wireless sensors on 7 equipment as a part of a year long contract project.

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Interested in more details?  Download the full case study here