As power systems become more complex, identifying potential failure points and proactively mitigating risks is essential to ensure continuous operation. Advanced analytics techniques provide an answer to this dilemma.
Dubai Electricity and Water Authority (DEWA) takes advantage of data-driven approaches and machine learning techniques to explain how to analyze cable joint failure data to identify patterns, predict failures, and develop effective maintenance strategies. Real-world case studies and examples from the power industry highlight both the benefits and challenges of implementing data-driven approaches. DEWA reveals best practices for integrating data sources, applying analytical models, and deploying predictive maintenance strategies to reduce cable joint failures.
- Understand the importance of using data-driven approaches to reduce cable joint failures.
- Leverage advanced analytics to optimize their cable joint maintenance programs.
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