Enhancing Power Transformer Reliability Through Real-Time Machine Learning Monitoring

Power transformers are key assets in oil and gas processing facility, and their failure may lead to asset damage, and safety issues. One of the most cost-efficient, easy, and practical transformers monitoring approach in the market is deploying Artificial intelligence (AI) to enhance transformer data and avoid failure. AI can analyze data from various sources, such as Dissolved Gas Analysis (DGA), bushing monitoring systems, temperature monitoring systems, and thermal cameras, to predict and prevent power transformer failures. This proactive approach minimizes the risk of unplanned outages and enhances operational efficiency.