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  • Technical Seminar on Predictive Maintenance and Advanced Condition Assessment Technologies 2026

Technical Seminar on Predictive Maintenance and Advanced Condition Assessment Technologies 2026

Saturday, 18 July 2026 / Published in Seminar & Workshop

Technical Seminar on Predictive Maintenance and Advanced Condition Assessment Technologies 2026

Marlbo successfully hosted an exclusive Technical Seminar on Predictive Maintenance and Advanced Condition Assessment Technologies on 17th July 2026, bringing together professionals and industry experts for an evening of technical knowledge sharing, innovation, and engineering excellence.
The seminar explored modern approaches to condition assessment and the latest diagnostic technologies that enable industries to improve asset reliability, minimize unplanned downtime, enhance predictive maintenance strategies, and optimize overall operational performance.
Through insightful technical presentations and engaging discussions, participants explored emerging industry trends, exchanged practical experiences, and gained valuable knowledge from experts in the field.
More than showcasing technology, this seminar reflected Marlbo’s commitment to fostering technical education and professional development within Sri Lanka’s industrial sector. We believe that empowering engineers and technical professionals with the right knowledge is just as important as providing world-class solutions. By creating platforms for learning, collaboration, and the exchange of expertise, we aim to help industries make informed decisions, adopt best practices, improve equipment reliability, and build more resilient and sustainable operations.
At Marlbo, we remain dedicated to supporting the growth of Sri Lankan industries by connecting professionals with globally recognized technologies, technical expertise, and meaningful knowledge-sharing opportunities that drive innovation, operational excellence, and long-term industrial success.
Tagged under: Technical Seminar on Predictive Maintenance and Advanced Condition Assessment Technologies

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