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Equipment reliability hinges on numerous factors. Engineering teams wade through a library of documents to research and identify crucial details about these valuable assets.

Ontario Power Generation developed a powerful tool allowing for semantic document search using search engine optimization (SEO) algorithms. The platform, designed for equipment reliability engineering teams, navigates through large volumes of text documents to identify trends based on equipment Type, equipment criticality, system, and other key parameters. This revolutionary tool enables users to visualize and analyze data trends, highlighting how equipment and systems evolve over time to drive effective communication and promote data based decision-making processes.

Session Takeaways:

• How to leverage a semantic document search engine to identify and extract valuable information from equipment reliability-related documents.
• How to navigate large volumes of text documents efficiently, uncovering critical insights and trends that can drive change management and decision-making processes.
• How to apply search engine optimization (SEO) algorithms to further filter search results based on specific criteria such as equipment type, criticality, and system.
• How to use trend analysis to gain insights into the reliability of equipment, systems, and other components over time.