Failure sign detection based on running data
- Toshiba Energy Systems & Solutions Corporation
- October 27, 2020
- English, Japanese
Emergency shutdowns due to failures have a tremendous effect on the operations of a power plant, not only losing power generation, but also require emergency repair. Power plant operators following the development and adoption of IoT technologies on a global scale have become increasingly interested in leveraging these technologies to reduce down time in their operating. However, if they usually manage to digitalized and gather a variety of data, its exploitation in order to improve efficiency of power plant operation is still a challenge.
About the Service
By building a model from the correlations between past data collected during nominal operations and comparing it with present data in real time, we have achieved that detecting differences with past behavior and predicting failures before they happen.
This service is part of our Electric Power Business Platform. It can be freely combined with the other services on the platform.
Accurate prediction of when failures will happen allows planning for equipment down time and inspection, improving availability rates and reducing loss of opportunity.
- Our experience as a plant manufacture allows us to build accurate models with the appropriate assets
- Real time visualization of the actual data and the values predicted by the model
- If necessary, clients can update the model on their own
Comparison of actual measures with predicted values
Please refer to the Toshiba Energy Systems & Solutions Corporation contact page.