How we helped our client to predict turbine failure using real-time parameters and environmental data
The Turbine Manufacturing Industry serves a crucial role in various sectors. Applications in heavy industries, specialty chemical production, glass and cement manufacturing, pharmaceuticals, and sugar mills.
AI models, specifically the RL-Agent, have revolutionized turbine failure prediction. By analyzing 178 real-time parameters alongside environmental data, the agent achieves remarkable accuracy. It not only identifies potential turbine failures but also offers actionable insights for preventive maintenance.
This data-driven approach optimizes turbine performance, reduces downtime, and enhances overall operational efficiency. Our success lies in combining cutting-edge machine learning techniques with domain expertise, ensuring a proactive and cost-effective solution for the industry.
The Result
90%
Reduction on ad-hoc failure of turbine
42%
Reduce in Component Replacement Cost
98%
Maximized output
