AVEVA (Schneider Electric) Case Studies Tata Power Uses AVEVA PRiSM Predictive Asset Analytics Software

	Tata Power Uses AVEVA PRiSM Predictive Asset Analytics Software AVEVA (Schneider Electric)

Tata Power Uses AVEVA PRiSM Predictive Asset Analytics Software

AVEVA (Schneider Electric)

Technology Category	Analytics & Modeling - Predictive Analytics Analytics & Modeling - Real Time Analytics Functional Applications - Remote Monitoring & Control Systems Sensors - Utility Meters
Applicable Industries	Renewable Energy
Applicable Functions	Maintenance
Use Cases	Predictive Maintenance
Challenge	- Avoid asset failures and reduce equipment downtime - Identify subtle changes in system and equipment behavior - Gain advanced warning of emerging equipment issues - Monitor the health and performance of critical assets fleet-wide in real time - Improve maintenance planning y Enable knowledge capture to optimize information sharing between plant personnels Read More
About Customer	Established in 1915, Tata Power is one of the largest integrated power companies in India with a significant international presence. The company has an installed generation capacity of 8,750 MW in India, with another 9,100 MW under development. Tata Power Read More
Customer Name	Tata Power Read More
Solution	AVEVA® PRiSM Predictive Asset Analytics to help: - Reduce unscheduled maintenance - Move from reactive to proactive maintenance y Quickly analyze large amounts of asset data for accurate equipment condition assessments - Share information between groups to get the right information to the right people at the right time - Reduce complexities in the process and technology of Tata Power fleets Read More Log in to view content
Data Collected	Existing machinery sensor data Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Predictive Analytics

Analytics & Modeling - Real Time Analytics

Functional Applications - Remote Monitoring & Control Systems

Sensors - Utility Meters

Applicable Industries

Renewable Energy

Applicable Functions

Maintenance

Use Cases

Predictive Maintenance

Challenge

- Avoid asset failures and reduce equipment downtime

- Identify subtle changes in system and equipment behavior

- Gain advanced warning of emerging equipment issues

- Monitor the health and performance of critical assets fleet-wide in real time

- Improve maintenance planning y Enable knowledge capture to optimize information sharing between plant personnels

About Customer

Established in 1915, Tata Power is one of the largest integrated power companies in India with a significant international presence. The company has an installed generation capacity of 8,750 MW in India, with another 9,100 MW under development. Tata Power

Customer Name

Tata Power

Solution

AVEVA® PRiSM Predictive Asset Analytics to help:

- Reduce unscheduled maintenance

- Move from reactive to proactive maintenance y Quickly analyze large amounts of asset data for accurate equipment condition assessments

- Share information between groups to get the right information to the right people at the right time

- Reduce complexities in the process and technology of Tata Power fleets

Data Collected

Existing machinery sensor data

Impact #1	[Process Optimization - Predictive Maintenance] Early warning identification of equipment problems, days weeks or months before failure.
Impact #2	[Efficiency Improvement - Asset Monitoring] Dynamic insights and deep-dive diagnostics for equipment behavior changes.
Impact #3	[Cost Reduction - Maintenance] Better maintenance planning and cost control.

Impact #1

[Process Optimization - Predictive Maintenance]

Early warning identification of equipment problems, days weeks or months before failure.

Impact #2

[Efficiency Improvement - Asset Monitoring]

Dynamic insights and deep-dive diagnostics for equipment behavior changes.

Impact #3

[Cost Reduction - Maintenance]

Better maintenance planning and cost control.

Benefit #1	Estimated cost savings are $270,000 USD.

Benefit #1

Estimated cost savings are $270,000 USD.

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Overview

Tata Power Uses AVEVA PRiSM Predictive Asset Analytics Software

Operational Impact

Quantitative Benefit