ANDRITZ has installed its Metris DiOMera digital monitoring and predictive maintenance system at the Mwadingusha hydroelectric power plant in the Democratic Republic of Congo. The project, carried out for the Société Nationale d’Electricité (SNEL SA), is the first use of this technology in the country.
The system is designed to improve plant productivity by supporting preventive maintenance, increasing equipment reliability, and extending service life. The first project phase, which included equipment installation, commissioning, and training of predictive models, has been completed.
Metris DiOMera uses mathematical models to track critical components and generate diagnostic and trend indicators that help anticipate failures. At Mwadingusha, the system monitors 452 indicators across the plant’s six units, with early detection capabilities for risks such as cracks in Francis runners and other vital parts.
Key features include:
- Real-time monitoring of parameters such as temperature, vibration, and pressure
- Predictive maintenance to reduce downtime and costs
- Identification of deviations from benchmark performance
The project is divided into two phases. Phase D1 covered design, supply, and system implementation, including server setup, SCADA configuration, and staff training. Phase D2 will focus on ongoing operations, including software maintenance, monthly reporting, and technical support.
Phase D2 is set to run for five years, with gradual expansion of digital services through the DiOMera platform. Predictive indicators may also be tailored to address specific challenges at Mwadingusha.
