Predictive Approach for Steam Turbines
Curious about smarter maintenance? Discover how data, AI, and virtual twins are revolutionizing steam turbine reliability and efficiency. Read on for actionable insights!
Q1. Could you start by giving us a brief overview of your professional background, particularly focusing on your expertise in the industry?
I’m a Mechanical Engineer with an MSc in Thermal Power and Fluids Engineering, and I hold Chartered Engineer (CEng), CMRP, and PMP certifications. Over the past 19 years, I’ve worked in the energy and utilities sector, primarily in thermal power generation. My work has focused on steam and gas turbines, rotating equipment reliability, and asset lifecycle management. I’ve been involved across the full spectrum—engineering, construction, commissioning, operations, maintenance, and commercial evaluation—which has given me a firm, hands-on understanding of how large rotating equipment actually performs in actual conditions.
I've worked on contracting and commercial models—like performance-linked O&M and risk-sharing frameworks—that connect engineering outcomes directly to financial results. This experience means I can bridge the gap between technical decisions and what investors or owners actually expect. I look at every solution not just for technical success, but for its ability to scale, deliver a clear ROI, and create real changes in how people operate.
My expertise lies at the intersection of turbine engineering, reliability strategy, and investment-grade decision-making. This skill set is increasingly valuable as fleets transition to flexible…
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