Nanoprecise Sci Corp Case Studies Detecting Cavitation And High Vane Pass Frequency For Pumps

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	Detecting Cavitation And High Vane Pass Frequency For Pumps Nanoprecise Sci Corp

Detecting Cavitation And High Vane Pass Frequency For Pumps

Nanoprecise Sci Corp

Technology Category	Analytics & Modeling - Edge Analytics Analytics & Modeling - Predictive Analytics Functional Applications - Remote Monitoring & Control Systems Sensors - Pressure Sensors Sensors - Vibration Sensors
Applicable Industries	Utilities
Applicable Functions	Maintenance
Use Cases	Predictive Maintenance
Challenge	The Condensate Cooling Water (CCW) pump, one of the critical pumps in maintaining steadystate operations, is a horizontal vane pump operating at up to 1650 m3/hr with a discharge pressure of 9 MPa (62 psi) at 986 rpm. Each day this pump is offline costs the plant $250,000 in lost revenue and each failure costs tens of thousands of dollars to execute an unplanned repair. Thus, Larsen & Toubro (L&T) really needed a predictive maintenance solution to detect faults at an early stage and provide a reliable prediction of Remaining Useful Life (RUL) Read More
About Customer	Nabha Power Plant is a supercritical 700 MW thermal power plant located near Rajpura Punjab, India. For an industrial plant of this magnitude, unplanned maintenance shutdowns have a major impact on productivity and profitability. Read More
Customer Name	Nabha Power Plant Read More
Solution	We proposed our RotationLF system under which we installed around 24 wireless sensors as a part of a pilot project on air compressors, ACW and CCW Pumps, and Fans. The specific placement of the VibrationLF sensors are selected to monitor: 1) Non-drive side bearing, electric motor 2) Drive side bearing, electric motor 3) Drive side Bearing, pump 4) Non-drive side bearing, pump Once installed, strong battery-powered wireless sensors started monitoring pump and motors and sending data to our SaaS-based platform through an encrypted & secured network using Edge and Cloud computing. As data was received, RotationLF platform worked on data analysis using highly sophisticated algorithms. Approximately six weeks after the sensors were installed, the AI alerted L&T that a vane fault had been detected on the pump, causing cavitation. The fault frequency depicted in the system is indicative of an early-stage failure. Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Edge Analytics

Analytics & Modeling - Predictive Analytics

Functional Applications - Remote Monitoring & Control Systems

Sensors - Pressure Sensors

Sensors - Vibration Sensors

Applicable Industries

Utilities

Applicable Functions

Maintenance

Use Cases

Predictive Maintenance

Challenge

The Condensate Cooling Water (CCW) pump, one of the critical pumps in maintaining steadystate operations, is a horizontal vane pump operating at up to 1650 m3/hr with a discharge pressure of 9 MPa (62 psi) at 986 rpm. Each day this pump is offline costs the plant $250,000 in lost revenue and each failure costs tens of thousands of dollars to execute an unplanned repair. Thus, Larsen & Toubro (L&T) really needed a predictive maintenance solution to detect faults at an early stage and provide a reliable prediction of Remaining Useful Life (RUL)

About Customer

Nabha Power Plant is a supercritical 700 MW thermal power plant located near Rajpura Punjab, India. For an industrial plant of this magnitude, unplanned maintenance shutdowns have a major impact on productivity and profitability.

Customer Name

Nabha Power Plant

Solution

We proposed our RotationLF system under which we installed around 24 wireless sensors as a part of a pilot project on air compressors, ACW and CCW Pumps, and Fans.

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

1) Non-drive side bearing, electric motor

2) Drive side bearing, electric motor

3) Drive side Bearing, pump

4) Non-drive side bearing, pump

Once installed, strong battery-powered wireless sensors started monitoring pump and motors and sending data to our SaaS-based platform through an encrypted & secured network using Edge and Cloud computing. As data was received, RotationLF platform worked on data analysis using highly sophisticated algorithms.

Approximately six weeks after the sensors were installed, the AI alerted L&T that a vane fault had been detected on the pump, causing cavitation. The fault frequency depicted in the system is indicative of an early-stage failure.

Impact #1	[Data Management - Data Availability] The RotationLF analytics sensed & detected the anomaly in the pattern and alerted L&T plant staff about this unusual trend automatically through mobile text and email alert.
Impact #2	[Process Optimization - Predictive Maintenance] The RUL prediction of 25 days to failure provided sufficient time to schedule the pump replacement during an already planned maintenance outage.

Impact #1

[Data Management - Data Availability]

The RotationLF analytics sensed & detected the anomaly in the pattern and alerted L&T plant staff about this unusual trend automatically through mobile text and email alert.

Impact #2

[Process Optimization - Predictive Maintenance]

The RUL prediction of 25 days to failure provided sufficient time to schedule the pump replacement during an already planned maintenance outage.

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Overview

Detecting Cavitation And High Vane Pass Frequency For Pumps

Operational Impact