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Monitor X Digitalization in Hydropower

| 2019:618 | Thomas Welte, Jørn Foros
This report provides a summary of the results from the joint industry project "MonitorX where data analysis models and algorithms for condition monitoring and predictive maintenance of components in hydropower plants have been developed and tested.
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The most important benefits of using such models is fewer manual inspections and shorter maintenance downtime by using more condition-based and less time-based maintenance, and reduced costs for corrective maintenance due to early warnings of failures. The project was an important forum for knowledge-building and exchange of experience between hydropower plant operators, equipment manufacturers/service providers and research institutions.

The work in MonitorX was case-driven, meaning that identification of practical cases and development of these cases with the industry partners was the main approach. This report provides an overview of all cases in the project. The results from each case are briefly summarized in the report and explained in more detail in the appendices. Based on the obtained results and experience from testing, recommendations for use of the project results and suggestions for further work are given.