Following R & D projects are executed at predictive analytics and inferencing lab.
Aging Management Analysis and Remaining Life Assessment
This project leverages advanced machine learning algorithms and data analytics to monitor, predict, and manage the aging of industrial assets and infrastructure. By analyzing historical and real-time data, AI can identify patterns of wear and degradation, predict future performance, and estimate the remaining useful life of equipment. This approach enhances the accuracy and efficiency of maintenance schedules, reduces downtime, and extends the lifespan of assets by enabling proactive and data-driven decision-making, ultimately leading to improved safety, reliability, and cost-effectiveness in asset management.
Condition Assessment of Rotating Equipment
It employs sophisticated machine learning models and data analysis techniques to monitor and evaluate the health and performance of rotating machinery such as pumps, motors, and turbines etc. By analyzing vibration data, temperature readings, acoustic signals, and other operational parameters in real-time, AI can detect anomalies, predict failures, and provide insights into the underlying causes of equipment issues. This proactive approach allows for timely maintenance and repairs, minimizing unexpected breakdowns, extending the operational life of the equipment, and optimizing overall plant efficiency and reliability.
Prediction of Equipment Dynamic Behavior and Accident Avoidance
It involves utilizing advanced machine learning algorithms and predictive analytics to anticipate the dynamic responses and potential failures of industrial equipment. By continuously analyzing operational data such as vibrations, pressures, and thermal conditions etc, AI models can forecast the future behavior of machinery under various operating conditions. This predictive capability allows for the early identification of potential issues that could lead to accidents, enabling preemptive corrective actions. Consequently, this approach not only enhances the safety and reliability of industrial operations but also reduces downtime and maintenance costs by preventing accidents before they occur.
Industrial Test Rig Design and Development for data generation, fault simulation and classification
Small scale test rig design & developed, and sensors configured. Full scale design completed and manufacturing under process.
