Digital Hydro Asset Performance Management from GE

• Root cause analysis Enables better understanding and analysis of the underlying causes of failure and captures and institutionalizes that information to help prevent future occurrences. • Reliability analysis Provides a comprehensive set of analytical tools to help understand causes of asset failure patterns and the true cost of failure. Reliability Management helps you: • Effectively and efficiently plan maintenance to help optimize operations by detecting equipment problems early • Collaborate on issues while automatically capturing best practices Reliability Management Need to identify impending failures early? Reliability Management from GE Renewable Energy predicts equipment issues before they occur to help reduce unplanned downtime. Reliability Management includes Machine & Equipment Health, plus: • Predictive analytics Enables the analyst to anticipate or identify failure of an asset with longer lead time to improve reliability and performance by modeling the asset’s expected versus observed states. The analyst can leverage structured time-series data and unstructured data, including process parameters and condition alerts in the context of the assigned maintenance strategy and actual maintenance performed. It can also compare operating conditions and performance with other like assets. • Case and collaboration management Allows experts to record interaction and information about an issue over the lifecycle of mitigating it. Case functions include expert interpretation and collaboration around an integrated evidence set and support of a proactive recommendation and action workflow. • Knowledge management Captures experience and leverages it for future analysis— threat evidence, interpretations, and actions in context of outcomes. Cognitive analytics improve data quality and value by extracting structured data from unstructured information, such as long-text data-sets, which are often found in inspection notes fields. LEARN MORE