Tata Power
Tata Power improves operational performance and team empowerment
Tata Power, a major player in the energy sector, uses AVEVA software Predictive Asset Analytics and PRiSM Predictive Asset Analytics to continuously monitor, in real time, the health and performance of its critical assets across its fleet. Faced with complex processes and the need to move from reactive to predictive maintenance, Tata Power leveraged these solutions to detect functional deviations and impending failures early, sometimes days, weeks or months before they occur. AVEVA tools now make it possible to quickly analyze large volumes of data, improve maintenance planning, reduce equipment downtime and capture knowledge to support efficient information sharing between plant teams.
Testimonials
FAQ
How can you move from reactive to predictive maintenance with AVEVA Predictive Asset Analytics?
AVEVA Predictive Asset Analytics enables Tata Power to continuously monitor the health and performance of its critical assets across its fleet. The solution identifies subtle changes in equipment behavior and issues early warnings days, weeks or even months before a failure. This early detection replaces corrective maintenance with a proactive approach: interventions are scheduled at the right time, resources are optimized and unplanned shutdowns are avoided. It is a key pillar of digital transformation in the energy sector.
How does AVEVA Predictive Asset Analytics detect anomalies before they become failures?
The solution analyzes large amounts of data from Tata Power's critical assets in real time to identify functional deviations and subtle changes in equipment behavior. Using dynamic, in-depth diagnostics, it compares operating signatures with expected operating profiles and raises an alert as soon as a drift appears. This approach also captures knowledge about failure modes, creating a reusable knowledge base that helps teams better understand and anticipate abnormal equipment behavior.
What operational results did Tata Power achieve with AVEVA Predictive Asset Analytics?
Tata Power achieved early identification of equipment issues, days, weeks or months before failure, directly improving the reliability and performance of its fleet. Unplanned maintenance was reduced thanks to better planning, enabling greater cost control. Teams benefit from dynamic information and in-depth diagnostics on changes in equipment behavior. Finally, capturing failure modes is a long-term strategic asset for training and operational continuity.
Why is real-time data management strategic for a power producer?
For Tata Power, managing the complexity of the processes and technologies across its fleet requires quickly analyzing large amounts of asset data to accurately assess equipment health. AVEVA Predictive Asset Analytics turns this data into actionable information and shares it with the right people at the right time. This controlled flow of real-time information is at the heart of the energy sector's digital transformation: it determines the reliability, safety and overall performance of power plants.
How does AVEVA help capture the know-how of experienced operators in a power plant?
A major challenge for Tata Power was sharing information between groups to get the right data to the right person at the right time. AVEVA Predictive Asset Analytics captures equipment failure modes and structures them into a usable knowledge base. This knowledge capture supports the training of new operators, ensures continuity of skills as teams turn over, and standardizes best practices. It is a crucial lever for sustaining operational expertise in a sector where field experience remains essential.