PRANA system supports all main generating equipment of gas, steam-gas and steam-power units. Today, more than 3.2 GW or 2% of thermal generation in the Russian Federation is connected to the system. The cost of the connected equipment exceeds $4 billion. During the work with the power equipment, PRANA and the ROTEC’s Situational Center issued more than 185 information messages.
The PRANA system can also be effectively used on the equipment of nuclear power plants.
Automated control over the technical condition of NPP equipment is carried out through the functioning of systems and subsystems operating in their element and design base. A huge flow of information from various monitoring systems threatens with missing an important event (emergence of a stable trend), significantly slows down the process of equipment state assessment and making the right management decision.
Early detection of undesirable trends in the equipment operation before the actual occurrence of faults allows for preventive maintenance before they turn into disasters.
PRANA prediction and monitoring system is based on a Similarity Based Modeling method (SBM). This approach was developed specifically to monitor the status of equipment and measuring devices at nuclear power plants, where the reliability of early detection of equipment failure has the highest priority.
Variety of emergent defects in spare parts, assemblies and equipment systems manifests itself in a change in the technical condition. Uncontrolled development of defects causes a non-operating or a limit state of the object. PRANA enhances the sharpness of the automatic detection of deviation in pump unit technical condition by a deviation of a certain key indicator from the norm even before the actual occurrence of defects in different operating modes, indicating the contribution of all the parameters that caused the said deviation.
PRANA prognostics system will be used to monitor the state of foundation of unit No. 6 at the CHP-3 in Pavlodar (Kazakhstan). The facility will be equipped with an integrity monitoring system based on acoustic emission method, as well as a set of sensors for defining temperature, deformation, angle of inclination, vibration and linear displacement — a total of 76 control points. Using this data, PRANA will be able at the earliest, not yet visible stage, to detect the formation of cracks and material degradation under the action of vibration from the turbine unit, to assess column deviations, as well as foundation movements. Data on the facility condition will be taken into account when analyzing the operation of the main equipment of a power unit, which will further increase the efficiency of the solution made.
Example (draft mnemonic diagram)