CODE: PE06
DURATION: 5 Days/10 Days
CERTIFICATIONS: CPD
This course delves into how Artificial Intelligence (AI), Machine Learning (ML), and advanced data analytics are revolutionizing the monitoring, maintenance, and diagnostic systems of modern power plants. Participants will explore predictive modeling, anomaly detection, intelligent diagnostics, digital twin applications, and data-driven maintenance strategies. Through interactive case studies and simulations, delegates will understand how AI-powered analytics interpret vast operational datasets in real time, identify early signs of performance issues, and generate actionable intelligence to improve reliability, safety, and operational efficiency.
This course is available in the following formats:
Virtual
Classroom
Request this course in a different delivery format.
Course Outcomes
Delegates will gain the knowledge and skills to:
Explain the principles and role of AI, ML, and analytics in power plant monitoring and diagnostics.
Implement data-driven approaches for condition-based maintenance of critical power plant assets.
Design and interpret predictive models for failure forecasting and reliability improvement.
Identify anomalies and potential failures through real-time monitoring and pattern recognition.
Integrate AI systems with existing SCADA, DCS, and plant information systems.
Evaluate key performance indicators (KPIs) using AI insights for operational decision-making.
At the end of this course, you’ll understand:
This course is designed for professionals in the power generation, utilities, and industrial operations sectors who seek to harness the potential of AI for plant reliability and asset management. It is equally valuable for power plant engineers, senior executives, technical leaders, electrical and mechanical maintenance managers, operations supervisors, reliability engineers, instrumentation and control specialists, data analysts who aim to understand how AI-driven insights can enhance plant performance and safety.
✓ Modern facilities
✓ Course materials and certificate
✓ Accredited international trainers
✓ Training materials and workbook
✓ Access to online resources
2 weeks ago
Enroll Here